
Making Data Simple
398 episodes — Page 6 of 8
S5 Ep 27Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Davor Bonaci co-founder and CEO of a Seattle-based startup Kaskada. Previously, Davor served as the chair of the Apache Beam PMC and software engineer in Google Cloud since its early days and the inception of Cloud Dataflow.Show Notes2:39 – Are you focused on the platform or the models around event based data?6:52 – Does your company provide knowhow or is it tooling?9:58 – What’s your secret sauce?11:19 – How did you end up here?15:40 – Who’s your biggest competitor? 17:13 – Can you talk to some of the common use cases?20:30 – Are you and IDE, how does it work?21:18 – Are you a subscription service?22:18 – What’s your 5 year plan?26:44 – How feature store save time and money29:19 – Describe the company in three bullets31:35 – What are the top skills? Davor Bonaci - LinkedInKaskadaConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 26Al and Wendy Gonzalez discuss data is the new code, micro models that are reuseable, data pipeline and hiring people that are smarter than you
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Wendy Gonzalez, Wendy is an executive that is passionate about building high-performing, high-functioning teams that develop and scale innovative, impactful technology. Wendy has two decades of managerial and technology leadership experience for companies including EY, Capgemini, Cycle30 (acquired by Arrow Electronics) and General Communications Inc. Wendy is an active Board Member of the Leila Janah Foundation.Show Notes2:39 – How does a CEO run a company from home?4:50 - Outline the Mission Statement7:00 – How do you hire people?8:58 – How big is the company?9:23 – What’s your secret sauce?12:10 – How does this tie back to social?18:38 – Can you talk more about your statistics?20:55 – How do you separate your business from others?24:22 – Are these micro models reusable?25:59 – What is a typically engagement look like?29:30 - How do clients find you?30:38 – How did Sama get started?Turing the flywheelOmnivore’s DelemmaSama Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 25Al and Matt Cowell discuss defining data literacy, teaching products, and learning problems
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the gym/fitness market. Matt is passionate about facilitating the data fluency of individuals and organizations all over the world and loves focusing on the people side of the equation.Show Notes2:25 – How do you go from SVP of Products to getting into the data learning business?3:48 - How do you define data literacy? 5:50 – Do you teach the products?7:36 - What’s out of scope?12:50 – Client use case18:07 – Solving learning problems21:14 – What does a learning plan look like?25:08 – Define Micro30:20 – What’s the best way to learn?33:14 – How do you measure success?34:47 - Are you venture capital funded?36:10 – Do you have a fundamental leadership belief?38:24 – What skill do you value most in a leader? QuantHubUpskill quanthubMonetizing innovation Ultra LearningMatt Cowell - LinkedInConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 24[Part2] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials.Show Notes2:25 - Are you venture capital funded?4:10 – How many of the solutions involve AI imaging?10:08 – What technologies are behind Seekar?14:26 – Where do you think AI is going?App- covid-aiKordel K France – LinkedInKordel K France – [email protected] Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 23[Part1] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials.Show Notes1:21 – Kordel introduces himself.5:35 – How do you get into the medical field?7:27 - How does a non-medical guy say “hay this is what I need to do”?9:18 – Why is it free of charge?13:25 – Who provides the 95% accuracy?14:55 – What is your mission statement?20:25 – How did you get into the app business?24:00 – What project are you most proud of?29:27 – Why lie detection?Tune in for part 2 next week App- covid-aiKordel K France – LinkedInKordel K France – [email protected] Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 22[Replay] Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter)
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms.Show Notes11:43 - What is the context and how did you get involved?17:10 - How do you define success?19:40 - Are you focused on IT language?25:03 - How do you know you’re doing it right?32:30 - What decision have already been made?37:13 - What other challenges have you faced?40:00 - How do you know when you’re done?41:29 - How can people contribute?Dale Davis Jones - LinkedInHai-Nhu Tran - LinkedInBlog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in TechnologyCall for Code for Racial Justice: Linux Foundation Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 21Al and Lillian Pierson discuss Data Mania and Lillian’s book Data Science For Dummies
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lillian Pierson. Lillian is CEO of Data Mania and she supports data professionals to becoming world data leaders and entrepreneurs. Lillian started Data Mania in 2012, Lillian has had 1.2 million people take her courses or read her book. Show Notes3:37 – How did you make your transition to Data Mania?8:20 – What is your Brand now?9:32 – If I contact Lillian @ Data Mania what will I walk away with?14:01 – Is it methodology or career coach or is it both?16:35 – Where did you get your experience to put people in these buckets?19:08 – Do you provide one on one services?22:48 – Is your team worldwide?24:36 – What differentiates your book from another?26:48 – Who is Data Mania targeting?28:32 – Where do I start?Email - [email protected] Superhero QuizData Science For Dummies Lillian Pierson - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 20Al and Milan Shetti discuss Z and what it means when we say legacy powers legendary
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Milan Shetti. Milan is the President of Rocket Software and the Z Business Unit. Milan joined Rocket about a year ago and came from HP where he ran the storage business section. Before that Milan ran a startup and was also at Sun Micro Systems. Show Notes4:16 – What was in that conversation?7:26 – What were you responsible for at HP?10:24 – What position did you start in at Rocket?12:46 – What is your mission objective at this time?15:05 – Are you seeing growth in Z?18:40 – What does modernization mean in Z?22:14 – What does Rocket do that no else does?25:50 – Are you using AI and ML in your new role?31:14 – What is your vision as president moving forward? The Alchemist Paulo Coelho Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 19[Replay] Al and Nancy Hensley discuss Data and AI and its impact on sports
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes1:37 – Nancy’s bio3:10 - Are we talking Money Ball?5:52 - On Base percentage7:08 – Analyse examples 10:02 – Do you control the data?11:24 – Out there statistics14:12 - Can analytics go to far?17:35 – Real time analysis18:45 – Covid and sports21:15 – Your role in sports betting22:50 – What’s the most fascinating thing you’ve learned?25:23 – What’s the future?Website - Stats PerformMoney BallStats Perform - Twitter Bill James – Baseball Abstract The Analyst Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 18Al and Orr Danon discuss a microprocessor which enables edge devices
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Orr Danon CEO at Hailo Technologies. Hailo has developed a breakthrough deep learning microprocessor based on a novel architecture which enables edge devices to run sophisticated deep learning applications that could previously run only on the cloud.Orr has a decade of software and engineering experience from the Israel Defense Forces’ elite intelligence unit. Orr coordinated many of the unit’s largest and most complex interdisciplinary projects, ultimately earning the Israel Defense Award granted by Israel’s president, and the Creative Thinking Award, bestowed by the head of Israel’s military intelligence. Orr holds an M.Sc in Electrical and Electronics Engineering from Tel Aviv University and a B.Sc in Physics from the Hebrew University in Jerusalem.Show Notes4:28 – Is Edge a hardware solution?11:45 – Where do you think the fastest growth in the Edge is going to be?14:01 – What makes your AI chip different?17:10 – Anything else in your secret sauce that makes you different?18:28 – If I am a customer what do I do for proof of technology? And do your chips work together at the Edge?21:35 – What about security?22:50 – Tell us about the data?26:40 – Where will you be in 5 years?Hailo website Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 18Al and Wendy Cornell discuss computational biology, IBM’s 5 and 5, and how technology effects health and drugs
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Wendy Cornell. Wendy joined IBM as an IBM Researcher, after spending 20 years as a researcher and leader in the pharmaceutical industry. Currently Wendy is an IBM Research Strategy Lead for Drug Discovery, and Research Life Science Liaison to Watson Health and is credentialed as an IBM Q Ambassador for quantum computing.Show Notes5:16 – What goes into computational biology?8:03 – What was the attraction to IBM?9:57 – What do you do on a daily basis?12:58 – IBM’s 5 and 517:10 – Are we doing work around side effects of different drugs?25:47 – Can technology bring down the approval time?31:30 – What are the positives that will come out of the past 14 months?36:58 – STEM38:25 – What excites you the most about the future? IBM’s 5 and 5 Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 17[Part 2] Al and Cactus Raazi discuss pricing and pricing methods
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah. Show Notes1:50 - Where does pricing go bad?10:00 – What pricing models work the best?17:00 – How does goto market play into pricing?18:53 – Personalized marketing 21:33 – If someone got a better price22:29 – Good customer vs bad customer Cactus Raazi - LinkedInCactus Raazi’s book Price Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 16[Part 1] Al and Cactus Raazi discuss pricing and pricing methods
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah. Show Notes5:45 – How do you make the connection and go start to Price?9:20 – What should I be doing differently16:25 – Topic of price17:38 - How do you define price?19:53 – How are prices set today?26:27 – How do you track customers?27:39 – Personalized pricingCactus Raazi - LinkedInCactus Raazi’s book Price Connect with the TeamProducer Kate Mayne- LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 15This week Al and Michel Tricot discuss tech, ELT vs ETL, Airbyte and Entrepreneurship
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Michel Tricot. Michel is the Co-Founder of Airbyte an open source ELT standard for replicating data for applications, API and databases. Michel has been working in data engineering for 15 years, head of integration and engineering at LiveRamp, he has been involved with data ingestion and data connectors. Airbyte has raised over 5 million in seed money. Show Notes3:30 – Why start a company in 2020?5:23 – Is this company centered around ETL?9:56 – Why is ELT more attractive than ETL?15:09 – Give us your definition of data engineering and talk about Airbyte20:19 – What’s the business plan around open source?23:49 – Walk us through a use case29:17 – Moving data can be difficult 31:09 – What makes Airbyte different?33:31 – What is the biggest lesson you’ve learned?SlackGitHubAirbyte Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 14This week Al and Ahmed Elsamadisi discuss autonomous cars, exoskeletons, the Iron Man Suit, We Work, and Narrator
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ahmed Elsamadisi. Ahmed started his career at Cornell’s Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. He then joined Raytheon to develop tactical AI algorithms for missile defense, four of which are still in use today by the US Military. Eventually he moved on to Raytheon’s Advanced Technology division to focus on building human exoskeletons--like the Iron Man suit but made of rubber because it’s way more energy efficient and not a fictional concept ignoring proper scientific practices-- and algorithms for adaptive decision making.In 2015 Ahmed joined We Work, and over the next two years Ahmed built We Work’s standard data infrastructure and grew its data team from one to forty Data Engineers and Data Analysts.After implementing a single time series table data model at We Work and seeing the immediate results, Ahmed wanted to figure out a way to bring this new found knowledge to the world. Ahmed founded Narrator to allow startups to leverage this new approach, ask questions, understand customer behavior, and analyze data across all their systems from a simple Universal Data Model. Show Notes3:26 – Tell us about algorithms for autonomous cars6:26 – Anything you can say around missile defense?8:58 – Tell us about human exoskeletons13:18 – What kind of data were you using to make decisions around the Iron Man suit?16:02 – What did you learn at We Work?25:00 – How we answer a question in the world of Narrator32:24 – Does Narrator sit between the application and the database?33:28 – Walk us through a Use CaseWebsite: Narrator AI.comBooks: The Power of BadNever Split The DifferenceAhmed Elsamadisi - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 13[Replay] Dr. Lee helps us understand Quantum Computing as a new technology
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing. Al and Dr. Lee try and help us understand Quantum Computing as a new technology. Show Notes3:03 - Dr. Lee talks about her day to day job4:40 – The challenge 6:12 - Dr. Lee describes quantum 8:03 – What is quantum computing going to do for us that we can’t do today?9:30 – How does this work?17:50 – What kind of problem is quantum computing suited to answer?19:40 – Will quantum computing replace traditional computing?23:36 – Who can use quantum computing?32:30 – Security and quantum33:50 – Dr. Lee’s teamDr. Kayla Lee - LinkedInTen More Universities Join The IBM-HBCU Quantum CenterIBM Quantum Computing QiskitHBCU Center Driving Diversity and Inclusion in Quantum ComputingIBM’s Roadmap For Scaling Quantum TechnologyConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 12This week Al and Robin Hernandez discuss about AI Ops, what it is and what it means to you
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Robin Hernandez, Robin is the VP of Offering Management Cloud Data for Watson AI Ops. Robin started out in software development, and then worked in Technical Sales, IBM Cloud Garage, and then Product Management. Show Notes3:46 – What is AI Ops?6:31 – What is the ROI?12:00 – What does it take to setup AI?17:48 – How does this really work?21:34 – I am in Services what do I get?26:06 – What king of grantees does AI offer?28:12 – Who is monitoring AI?IBM AI Ops Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 11[Replay] Start-ups with Simon Lightstone
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 10This week Al and Ana Echeverri discuss industry factors driving education, learning differences, and misconceptions
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ana Echeverri. Ana leads Expert Labs Learning, experience in sales, client success, owned her own business. Has a computer engineering degree from Columbia, formerly worked at Informix, and has been in the technology industry for about 30 years, also worked at Microsoft Citrix, and then started her own business focused on Education. Show Notes8:25 – Are there different industry facts driving learning?11:58 – How do you find the time to learn?17:24 – What the best way to get education?20:06 - Do we learn differently?22:49 – We want expert’s what are you going to do?28:40 – What is IBM doing around learning?33:08 – Biggest misconception in learning?Adam Grant Power of LearningConversational Intelligence Cooking Blog (Recetas de Merci) Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 9This week Al and Rob Thomas discuss leadership, hybrid cloud, and data platforms
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Rob Thomas. Rob is Senior VP of IBM Cloud and Data Platform, a Coach and has a Mentor newsletter, an author, and a Blogger. Rob has been at IBM his whole career, started in consulting moved to microelectronics then moved to software in 2006. Show Notes3:26 – What are your learning's from 2020?7:42 – What’s your vision and objectives for Cloud and Data platform? 11:44 – Discuss the rules of your organization14:08 - What’s your view on hybrid cloud?18:30 – What does IBM Cloud and data platform do that nobody else can do?21:51 – What should companies be looking at to build their competitiveness?28:18 – What was your reason for writing about “Just Show Up”?The Mentor NewsletterIt Takes What It Takes Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 8This week Al and Jeff Richardson discuss Jeff’s new role at Accelerated Enrollment Solutions and how data affects Jeff's role
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Jeff Richardson. Jeff has a history of database data, information management, and he is now the Chief Information Officer at Accelerated Enrollment Solutions. Jeff was also at Bentley Systems for 17 ½ years as Chief Data Officer. Show Notes5:41 – What does it mean to be a technology nerd?6:53 – What technologies as a CDO or CIO are you addressing on a regular bases?13:04 – How are you going to tackle the culture and the politics?17:25 – Is it Cloud or Hybrid to drive the new data lake?24:03 – What is your plan to get to desired state?27:04 – Does AI have a role in your new position?31:44 – Fighting the Infodemic what made you write this article? Fighting the InfodemicJeff’s podcast listAnalytics on FireDissecting popular IT NerdsThe Data ChiefData Crunch Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 7This week Al and Yancey Strickler chat about Bentoism how it came about, tips and tricks of Bentoism, and data as fire.
ESend us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Yancey Strickler. Yancey is a writer and entrepreneur, founder of the Bento Society, Co-Founder of Kick Starter, a Distinguished Fellow at the Drucker Institute, Author of This Could Be Our Future: A Manifesto for a More, Generous World and The Idea Space, Co-Founded the Artist Resource The Creative Independent, the Record label eMusic Selects, and Angel Investor. Show Notes3:43 - Yancey’s Brand8:39 - How in Kick Started did you define success?13:06 – Creating the Bento Society21:00 – Reframing values into the new world23:48 – Tips and tricks27:48 – Data as fire30:48 – What the next 5 – 10 years going to look likeThis Could Be Our Future: A Manifesto for a More, Generous WorldYStrickler.comBentoism.orgThe ideaspace Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 6This week we continue with part 3 of AI Academy discussing AI Ladder and AI Maturity
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kristen Summers and John Thomas. Kristen is a Distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs. John is a Distinguished Engineer in Data and Expert Labs, John leads Services that helps clients establish the AI factory. Show Notes3:24 – What is the AI academy and how does it all fit together?4:34 – AI Ladder and AI Maturity8:32 – How does the AI Factory make it easier to accomplish the AI Ladder?12:00 – Why does your team do it better?17:03 – How do you know your data is ready?21:22 – What is the most practical use case?23:02 – What does it really mean to infuse AI?25:15 – Definition of AI maturity curve28:25 – How do you know it’s trustworthy?29:14 – What the most important lesson you’ve learned with AI and what is AI not very good at?In the Dream House Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 5This week we continuing our discussion on data framework and what is meant by data framework
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Suj Perepa and Richard Darden. Suj is a distinguished engineer and specializes AI, machine learning technology in the financial sector. Suj also has been a lead for security programs and a member of the IBM Academy of Technology leadership team. Richard is a distinguished engineer in digital human evangelism for North America government and a distinguished engineer at IBM in Cloud and Cognitive for the public sector and a former chief architect on federal government agencies. Show Notes6:30 – What is a data framework?9:16 – What is framework?11:00 – Governance and people14:15 – Process and architecture19:15 – Bringing it all into a playbook 22:56 – Who is the client?24:36 – How does bias play into it?27:02 – What products are you using?27:54 – Explainability30:44 – Ethics of AI37:13 Suj and Richard’s most important lessons in AIThe Discipline of Technology Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 4This week Al and Kristen Summers discuss culture and talent management in AI
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kristen Summers who is a distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs, Show Notes2: 08 - More time needs to be spend on culture and talent management.3:55 - What does data driven culture mean?8:49 – What do you see driving fundamental culture?11:14 - What common tool do we have?12:55 – What is communicate about data?14:42 – How do you know you’re doing it well?17:29 - How do you define AI talent?23:18 - Describe a Data Scientist?27:25 - Common Organizational Structures 31:49 - How do you manage and grow AI talent?IBM Skills Academy Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 3[Part 2] Al and Lynne Snead discuss leadership, business coaching and debunking leadership myths, hard skills and soft skills and something called squishy
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003.Show Notes3:40 – Any advice on soft skills and hard skills?8:35 – Telltale signs such as stress10:40 – Settings goals Connect with the TeamProducer Kate Brown - LinkedIn Producer Steve Templeton - LinkedIn Host Al Martin - LinkedIn and TwitterBooksThinking Fast and Slow Financial Intelligence Other notable namesBrene BrownJudith GlaserMarshall GoodsmithDaniel GolemanLynne’s List of Recommended Leadership BooksLeadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian TracyWant to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S5 Ep 2[Part 1] Al and Lynne Snead discuss leadership, business coaching and debunking leadership myths, hard skills and soft skills and something called squishy
Send us Fan MailHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003.Show Notes9:08 - Soft skills vs hard skills14:18 - What would you call soft skills?17:05 - Skills and culture19:03 – Can you change culture?22:15 – Behavioral stylesConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 51[Replay] The 2 Secrets to Business Success, with Rob Thomas - Part 2 - Making Data Simple [Season 3 - Episode 11]
Send us Fan MailIn part 2 of this two-part series, host Al Martin welcomes back Rob Thomas, GM of IBM Data and AI. The conversation ranges across the latest trends in enterprise analytics, how to tell the truth from the hype, and Rob’s own strategies for staying current, connected, and engaged in this fast-changing space.----------------------------Show Notes00:00 - Missed part 1? Catch up with the conversation here.00:05 - Check us out on YouTube and SoundCloud. 00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:52 - Connect with Rob Thomas on LinkedIn and Twitter.01:02 - Check out Rob's article on Watson Anywhere here. 02:03 - There is now proof that quantum computing can now boost machine learning! Read more here.05:17 - Your team needs a compass, not a map.10:00 - Warren Buffet and Mark Cuban agree, reading is like compound interest.14:24 - Check out Wooden on Leadership here.14:35 - Check out Mindset here. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 50[Replay} Two Secrets to Business Success with Rob Thomas (Part 1/2) - Making Data Simple [Season 3 - Episode 10]
Send us Fan MailRob Thomas, leader of IBM’s Data and AI division, talks with host Al Martin about the need to de-mystify AI. In particular, Rob recommends a "fail fast" approach to data science: run wide-ranging but short-term experiments — and expect disappointment on the way to insight. This episode offers a host of such suggestions, plus thoughtful leadership advice and tips for motivation. Part 1 of 2.---------------------------Show Notes00:00 - Check us out on YouTube and SoundCloud. 00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:55 - Connect with Rob Thomas on LinkedIn and Twitter.04:01 - Discover what big data and A.I. have in store. 06:22 - Learn more about IBM's Think conference here.06:48 - Read more on Watson anywhere here.10:24 - There is no A.I. without I.A.23:21 - Check out Al's talk at Think 2019 with Jeff Jonas here.23:51 - Check out this interview with Rob Thomas at Think 2019 here.Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 49[Part 2] Al and Claude Yusti discuss AI, data and government, and health care
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry. Show Notes2:00 – What questions do government and health care have?8:10 – How different are government and health care?12:40 - ROI within government and health [email protected] Yusti - LinkenIn http://www.businessofgovernment.org/bio/claude-yusti Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 48[Part 1] Al and Claude Yusti discuss AI, data and government, and health care
Send us Fan MailAbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry. Show Notes6:19 – Working with government9: 58 - On what context are you defining AI?11:04 – How do you see the protection of data?18:05 – Use cases25:01 – Skills, security, data set control and how the government differs from private sector? Claude Yusti - LinkenIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 47This week Al and Kush Varshney discuss machine learning and trustworthy AI
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kush Varshney who is a Distinguished Research Staff Member and Manager of IBM Research and leads the Machine Learning group in the Foundations Trustworthy AI and the Co-Founder of IBM Science for Social Good. Kush has a history in Electrical Computer Engineering and a PHD at MIT. Show Notes1:32 – Kush’s history6:36 – Is there such a thing as trust worthy AI?14:46 – Are we going to let AI make decisions?19:57 – Have you worked on any government projects? 21:41 – Government datasets governance 24:13 – Steps to invest in trust and fairness25:54 – What is Science for Social Good27:25 – Where will AI be in 3 years?30:02 – White noise for the noseIBM for Social GoodTrusting AI FactfulnessTrust Worthy Machine Learning (coming next year) Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 46This week Al and Paul talk about everything from Paul’s new book to AI and GPUs
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Paul Zikopoulos. Paul is VP of Cognitive BigData Systems. Paul has written numerous books, and is a professional and award winning speaker. Show Notes5:39 – Paul’s experience 9:07 – Paul’s new book12:00 – What do you mean by “Until you don’t”?13:25 – What about systems GPUs?15:42 – What should I be thinking?18:07 – What else are you working on? 22:11 – Time management tips31:30 – Twitter commentConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. The AI LadderWant to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 45[Replay] - Covid-19 interview with Dr. Kyu Rhee
Send us Fan MailHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract This week on Making Data Simple, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel.Show Notes1. https://www.ibm.com/blogs/watson-health/author/kyurhee/2. https://www.ibm.com/impact/covid-19/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedIn.Producer Meighann Helene - LinkedIn.Host Al Martin - LinkedIn and Twitter.Additional resources: IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watsonHow governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 44Al and Nancy discuss Data and AI and its impact on sports
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes1:37 – Nancy’s bio3:10 - Are we talking Money Ball?5:52 - On Base percentage7:08 – Analyse examples 10:02 – Do you control the data?11:24 – Out there statistics14:12 - Can analytics go to far?17:35 – Real time analysis18:45 – Covid and sports21:15 – Your role in sports betting22:50 – What’s the most fascinating thing you’ve learned?25:23 – What’s the future?Website - Stats PerformMoney BallStats Perform - Twitter Bill James – Baseball Abstract The Analyst Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 43This week Al and Lisa discuss the prospects of AI and the data that backs AI
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lisa Palmer. Lisa is currently pursuing her doctorate in Artificial Intelligence, Chief Technical Advisor with Splunk Technologies. Lisa also was a professor at Southern Nazarene University, Tara Data Global Accounts Strategist, and then VP and America’s Regional Manager for Gartner. Show Notes1:30 – Lisa’s background6:16 – What is your Brand10: 06 - Pros and cons of AI Intelligence12:14 – Policing AI15:40 – Does bias worry you20:00 - What is flipping to data leadership23:55 – What are you working on27:07 – Why is pursuing your doctorate important to you28:38 – What’s your advice for other leaders30:37 – Trusted information32:50 – Predication for next yearInvisible Women: Data Bias in a World Designed for MenLisa Palmer - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 42Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter).
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms. Show Notes11:43 - What is the context and how did you get involved?17:10 - How do you define success?19:40 - Are you focused on IT language?25:03 - How do you know you’re doing it right?32:30 - What decision have already been made?37:13 - What other challenges have you faced?40:00 - How do you know when you’re done?41:29 - How can people contribute?Dale Davis Jones - LinkedInHai-Nhu Tran - LinkedInBlog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in Technologyhttps://www.ibm.com/blogs/think/2020/08/words-matter-driving-thoughtful-change-toward-inclusive-language-in-technology/Call for Code for Racial Justice:https://developer.ibm.com/callforcode/racial-justice/Linux Foundation Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 41This week Kathy Parks will be discussing women in Angel Investing, leadership, and the underlying data to making decisions
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kathy Parks. Kathy worked at IBM and is now an owner and independent Angel Investor. Kathy started her career in publishing and then transitioned over to Kurzweil Computer Products working on reading machine for the blind. Kathy then moved to Interleaf working on publishing products, then to QA and Project Management. Kathy then moved to Rational Software and in 2003 Rational was bought by IBM. Show Notes2:10 - How do you go from publishing to project management?3:15 - How did you transition to Angel Investing?5:58 - What’s at the core7:06 - What is Angel Investing12:40 - Is there a formula that you use?17:24 - How are pitches made?18:37 - Other forms of capital22:43 - How many investments have you made?29:21 - What data to you use?30:42 - Why are we not seeing the investments?31:58 - What are the KPIs in a pitch?33:20 - How long does the process take?Angel Capital Association KJParks - LinkedinAngel Investing - Venture DealsAge of Surveillance Capitalism Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 40This week Oliver Claude discusses Data Governance and Data Ops
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Oliver Claude Portfolio Offering Manager for Data and AI and Oliver is a Data Governance expert. Oliver also worked as a Chief Marketing Officer, VP and Chief Solution Owner, Solution Management, and Consulting, Al and Oliver discuss Data Governance and Data Ops and how it all fits into your business. Show Notes2:50 - What is the definition of Data Governance?4:06 - What is Data Ops?4:40 - What is IBM doing with Data Ops?5:16 - How have we automated our tools?6:58 - What is better red or white wine?7:33 - What is the future of Data Governance?9:37 - How is Data Governance and Data Ops related to AI?11:06 - What are the pitfalls for customers implementing Data Governance?12:10 - How do companies get started?Oliver Claude - LinkedInIBM DataOps Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 39[Part 2] Lynne Snead discusses leadership, coaching and being your best self and mixing that in with data
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach, Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen Covey.Show Notes2:25 – Can data define behavior in someone?7:19 – How do you complete an assessment?9:46 – Attributes of assessments20:25 – Coaching advice Lynne Snead - LinkedInTalent Evolution SystemsLynne’s email: [email protected] and self deception How will you measure your life?Lynne’s List of Recommended Leadership BooksLeadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian Tracy Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 38[Part 1] Lynne Snead discusses leadership, coaching and being your best self and mixing that in with data
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach, Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen Covey.1:30 – Lynne talks about her background5:40 – Lynne’s coaching specialty and mission statement10:30 – Why don’t all leaders have coaches?12:08 – Why do you differentiate corporate coaching from life coaching?16:27 - Do you believe in the element of natural state? 18:32 – How many individuals have you coached?19:49 – What constitutes a great leader?20:55 – What are the common mistakes in a leader?24:44 – Steer them back on track Lynne Snead - LinkedInTalent Evolution SystemsLynne’s email: [email protected] and self deception How will you measure your life? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 37Amy discusses data analysis and models used in the science of fires
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Amy McDermott. Amy is a science journalist at Front Matter, the magazine section of PNAS (Proceedings of the National Academy of Sciences), where she covers new and emerging research. Her background spans ecology and journalism: she has an MA in conservation biology from Columbia University and a graduate certificate from the UC Santa Cruz Science Communication Program. Show Notes4:20 - Amy’s background7:25 – Amy summaries the stories on fires11:21 – What does the data suggest about fires?12:04 – Are there computer models on fires? 17:35 – Real world example of how models are used19:44 – How accurate is the data?24:25 - Examining the data28:35 - How do you define success? 29:55 – Amy’s passion Amy McDermott - LinkenInFront Matter Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 36Dr. Lee helps us understand Quantum Computing as a new technology
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing. Al and Dr. Lee try and help us understand Quantum Computing as a new technology. Show Notes3:03 - Dr. Lee talks about her day to day job4:40 – The challenge 6:12 - Dr. Lee describes quantum 8:03 – What is quantum computing going to do for us that we can’t do today?9:30 – How does this work?17:50 – What kind of problem is quantum computing suited to answer?19:40 – Will quantum computing replace traditional computing?23:36 – Who can use quantum computing?32:30 – Security and quantum33:50 – Dr. Lee’s teamDr. Kayla Lee - LinkedInIBM Quantum Computing QiskitHBCU Center Driving Diversity and Inclusion in Quantum ComputingIBM’s Roadmap For Scaling Quantum TechnologyConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 35[Replay] - Covid-19 interview with Dr. Kyu Rhee
Send us Fan MailHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract This week on Making Data Simple, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel.Show Notes1. https://www.ibm.com/blogs/watson-health/author/kyurhee/2. https://www.ibm.com/impact/covid-19/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedIn. Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter.Additional resources: IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watsonHow governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
[Replay] - Finding New A.I. Use Cases with Paul Zikopoulos
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractThis week, Paul Zikopolous, IBM VP Big Data Cognitive Systems, makes a highly anticipated return to Making Data Simple. Paul gives an update to what he's been working on, including his A.I. tracking app which saw an interesting use case at a recent Luke Bryan concert. We are also given some insight to the state of data and the rest of the industry. Host Al Martin then finishes things off by discussing what it means to lead a team, and tips for growing your career. Connect with PaulLinkedIn TwitterIBM BlogsShow Notes07:02 - Read more about Watson Anywhere here. 20:20 - Check out Auto AI here.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter.Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 34Carlo and Wennie discuss how do we get people to adopt AI
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce. Show Notes2:56 – How do we get people to adopt AI?4:49 – Carlo’s book6:15 – Why do we call it agile AI?11:12 – Six weeks to get it done!15:07 – Where are we at with AI?16:54 - Problems with AI today22:05 – Secret sauce26:31 - Process and methodology 30:22 – Talk data34:19 – Integration, trust, and quick deployment36:10 – Working remote39:40 – How do you engage?Remote Data Science Website: http://ibm.biz/RemoteDataScience Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog Agile AI Book: http://ibm.biz/DSE-AgileAI Community: http://ibm.biz/DSE-Community Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab Consultation: http://ibm.biz/DSE-ConsultationBlogs: Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo AppuglieseWennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappugliese Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 33Scott discusses making data fun and simple in data management.
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Scott Taylor. Scott is the Data Whisperer, a thought leader, consultant on the strategic value of data management, Principal Consultant of MetaMeta Consulting and he practices data evangelism as a service. Scott discusses helping people understand the value and strategic importance of simple data. Show Notes1:25 – Scott’s back ground4:30 – Does Scott talk to data?5:20 – How long has Scott been in data?6:50 - Data Management13:12 - Data Story telling17:05 – Structured data25:08 - Core manifesto 25:48 – Bad data ideasConnect with Scott TaylorScott Taylor - LinkedInScott Taylor - TwitterScott Taylor – The Data Whisperer YouTube channel Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 32[Replay] - Data Collaboration and A.I. with Adam Weinstein - Making Data Simple [Season 3 - Episode 3]
Send us Fan MailAdam Weinstein is currently CEO and Co-Founder of Cursor, having worked at LinkedIn as a Senior Manager of Business Development and having founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and provides insight into creating a successful startup.-----------------------Shownotes 00:00 - Check us out on YouTube and SoundCloud! 00:10 - Connect with Producer Steve Moore on LinkedIn & Twitter 00:15 - Connect with Producer Liam Seston on LinkedIn & Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn & Twitter. 00:55 - Connect with Adam Weinstein on LinkedIn. 03:55 - Find out more about Cursor. 06:45 - Learn more about Cursor's Co-Founder and CEO Adam Weinstein. 13:10 - Learn more about Big Data Analytics. 19:20 - What is Python/Jupyter Notebooks? 26:35 - Learn more about Data Fluency. 35:30 - What is a startup? Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 31Ritika talks about her roles at IBM and AI and services for clients.
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ritika Gunnar. Ritika is currently VP, Data and AI Expert Labs Services and Learning and has worked with IBM in various roles within development, support and technical sales. She started her career developing and supporting systems management warehousing and reporting solutions. She worked in various development projects across IBMs brands to create appliances and solutions for clients cloud and virtualization needs. Ritika also managed Tivoli’s world-wide technical sales teams driving solution selling within the portfolio and increasing overall revenue and client satisfaction for the brand. Show Notes2:41 – Ritika discusses her background6:07 – Ritika’s current role9:09 – Successes of Data and AI15:21 - Important things to company’s around AI21:39 – What do you see as great principals of a service business 25:56 – Ritika’s proudest moment at IBM29:20 – How much time do you spend working with clients?Ritika Gunnar – LinkedIn and Twitter Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
S4 Ep 30Debbie discusses her education and background to making science approachable
Send us Fan MailWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Debbie Berebichez she is the first Mexican woman to graduate from Stanford University with a PhD in Physics, and she uses her education and background to make science approachable to a wide range of audiences. Debbie co-hosts numerous TV shows, where she uses her knowledge of physics to explain the science behind extraordinary engineering feats. Deborah is the Chief Data Scientist at Metis where she leads the creation and growth of exceptional data science training opportunities. Deborah completed two postdoctoral fellowships at Columbia University's Applied Math and Physics Department and at NYU's Courant Institute for Mathematical Sciences where she carried out research in the area of acoustic waves. She invented a highly effective technique in the field of wireless communications whereby a cell phone user can communicate with a desired target user in a location far away. Show Notes2:10 – Debbie’s mission statement8:58 – Mentorship11:25 - Debbie talks about Discovery TV shows15:04 – Debbie discusses her Ted Talk19:20 - Data literacy discussion30:35 – Physicist to data science 33:22 – Training and data scientist 38:43 - What makes the perfect data science implementation in a company?41:53 – Debbie’s advice for young girlsDebbie Berebichez - InstagramDebbie Berebichez - TwitterDebbie Berebichez - LinkedInDebbie Berebichez - FacebookStatistic and the art of deception Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.