AWS for Software Companies Podcast

Jonathan Barouch, CEO of Local Measure, joins us to discuss their journey of leading and innovating through a major business disruption.Topics Include:Intro to Local MeasureThe pre-Covid business model and customersImpact of CovidLosing 75% of their revenue within monthsTeams navigating the early months of CovidReinventing the businessTesting, iterating new business modelsLeveraging AWS APIs for Amazon Connect Cloud Contact Center solutionBalancing the former focus and contact centre pivotThe importance of a call centre in lean timesMigrating call centres of airlines and banks within 30 daysChange management and the Local Measure solutionLeveraging AI/ML for additional customer efficienciesShaving seconds off calls equate to huge savingsLeveraging AI/ML to turbocharge agentsAdditional industries for the Local Measure solutionTransforming data for tangible benefitProactive, predictive and outbound engagementsGuidance for other Software Executives going through disruptionWhat’s next for Local MeasureInterview wrap up

Multiple software industry leaders speak about their journey in building a resilient SaaS business.Speakers:Adrian Deluca - Director of Solutions Architecture – AWSAshley Kramer - CMO, CSO, Acting CTO at GITLABKochira Okamoto - CEO at YayoiTendü Yoğurtçu, PHD - Chief Technology Officer at PreciselyMathias Golombek - Member of the Executive Board and Chief Technology Officer at ExasolAkshay Patel - Principal SaaS Business Development Lead at AWS Topics Covered:Introduction by Adrian DelucaBalancing growth and profitability Q/A by Tendü YoğurtçuBuilding and keeping both Exasol’s product lines running Q/A by Mathias GolombekWhat do Enterprise customers value most? Q/A by Ashley KramerBalancing growth and profitability in Japanese countries & pivoting the company in a new direction Q/A by Kochira OkamotoWhat strategies are used through SaaS factoring engagements Q/A by Akshay PatelFavorite Metric for growth and profitability Q/A by Kochira Okamoto and Tendü YoğurtçuWhat were you unprepared for, when you were releasing your SaaS products? Q/A by Mathias Golombek and Tendü Yoğurtçu and Ashley KramerWhat sort of attributes do you look for in your developer you hire? Q/A by Ashley Kramer and Kochira Okamoto and Tendü YoğurtçuHow is diversity playing out particularly in your business? Q/A by Tendü Yoğurtçu, Ashley Kramer and Akshay PatelWhat do you think about Re-skilling? Q/A by Mathias Golombek, Kochira Okamoto, Ashley Kramer, Akshay Patel and Tendü YoğurtçuWhat do you do to invest in yourself for personal growth? by Mathias Golombek, K, Ashley Kramer, Akshay Patel and Tendü YoğurtçuEnd – Conclusion by Adrian Deluca

Alessandro Maoggi, Senior Manager of Engineering at Veeva Systems, shares their journey and lessons learnt developing AI/ML tools with AWS Sagemaker.Topics Include:Intro to Veeva SystemsBackground of Veeva TMF BotLeveraging AWS SageMakerScaling horizontally with smaller instances

Kanishka Mohaia, VP of Engineering (Data and Machine Learning) at Rokt, shares their journey and lessons learnt in developing AI/ML teams.Topics Include:Introduction: Kanishka Mohaia, VP of Engineering (Data and Machine Learning) at RoktMachine Learning focused on improving eCommerceWhy 85% of AI project failHiring, structures & best practices for AL/ML teamsRokt architecture overview and AWS Services

Machine Learning is critical for software teams. Adam Starr, Senior Global Engineering Manager, Data Science at Proofpoint, shares their journey to successfully building and deploying AI/ML solutions using Amazon SageMaker.Topics Include:Adam Starr, Senior Global Engineering Manager, Data Science at Proofpoint IncHow Proofpoint leverages AI in security modelML Ops leverages AWS SageMakerAWS Innovation – Going from idea to prototype to production (Sagemaker Studio, Ground Truth, GitPush, Sagemaker Pipeline, Sagemaker Endpoints)Critical success factors and which AWS services to usePartnering with AWS on Machine Learning Operational platform

Listen in as Industry Leaders from Coupang, Snowflake and Wiz discuss strategies for using data as a business driver and share their experiences. Topics include:Intro by Barry Morris of AWSYinon Costica of Wiz - introductionElise Bergeron of Snowflake - introductionSeshu Adunuthula of Coupang – introductionWhat is the biggest opportunity going forward using data in developing software products?Integration of disparate data and power of combining itElimination of data silos and focusing on how to use itCulture gaps in data analysisDeploying AI to address data requirementsCentralized and decentralized data modelsTeam structure for data managementGraph data modelTechnology enablers for data managementHow can customer data be leveraged?Building a data-driven culture internally and w customersWhat lessons should customers avoid?Staying close to customers and ensuring alignmentBuilding roadmaps with customersData monitoring & management tipsAdvice for software companies on data platforms