The Artificial Intelligence Show

This week on The Marketing AI Show, all three topics focus on AI and writing. This mega-episode brings to the surface many of the questions we’re hearing from our community. AI writing tools are rapidly transforming the art and science of storytelling, and in the process, they're disrupting writing as we know it. Everyone at every size company now has access to powerful and affordable AI technologies that are redefining writing and forcing companies to reimagine content teams and strategies to remain competitive. We can already 10X our content output, like ads, articles, blog posts, emails, and more, with today’s AI—and it’s growing more powerful by the day. This has created massive uncertainty for writers, brands, agencies, and media companies. And it’s made it essential that writers, editors, and content leaders take action to understand and apply AI. Today’s podcast episode is a mega-episode on AI writing and the impact it will have on writers and writing as we know it. Funding is flooding the space, and we’re already seeing media businesses incorporate AI writing into their business models—with mixed results. But these businesses are moving forward anyway. It’s important for marketing and business leaders to remember that a tool like ChatGPT is just the tip of the AI iceberg for marketers and business leaders. It's the shiny object that's captured everyone's attention, and rightly so. So what is the future of AI and writing? The second topic on AI and writing touches on AI writing tools. These tools can enable all sorts of highly valuable use cases across writing functions. Used intelligently, these tools can dramatically improve your productivity and performance as a writer. On the other hand, they also have plenty of limitations that any writer using these tools must be able to identify if they want to succeed at AI-powered writing. How should these tools be used by individuals and brands? We believe that understanding the very real issues raised by this technology is key to adopting it in a responsible way. And finally, how will AI change writing careers? AI is going to have a major impact on the careers and skills of writers and content professionals. These more intelligent tools are already opening up new frontiers of creativity, productivity, and writing at scale for savvy professionals. But they’re also changing the nature of writing work and business models, and writers and companies will need to adapt accordingly. Mike and Paul invest these 45 minutes in helping listeners understand what these new developments mean, providing context on what marketers and business leaders can do, need to consider, and how to adapt. Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspective on these important topics.

This week in AI news, we talk about education, an AI arms race, and a very dark side of AI training. First up, A 22-year-old has created an app that claims to detect text generated by ChatGPT. The tool is called GPTZero, and it was created by Edward Tian, a senior at Princeton University, to combat the misuse of AI technology. Tian believes AI is at an inflection point and has the potential to be "incredible" but also "terrifying." The app works by looking at two variables in a text: “perplexity” and “burstiness,” and it assigns each variable a score. First, the app measures its familiarity with the text presented, given what it has seen during training. The less familiar it is, then, the higher the text's perplexity is, meaning it's more likely to be human-written, according to Tian. It then measures burstiness by scanning the text to see how variable it is; if it varies a lot, it's likely to be human-written. Tian's app aims to incentivize originality in human writing and prevent the "Hallmarkization of everything" where all written communication becomes formulaic and wit. Paul and Mike discuss what this means, ethical issues, and opportunities and challenges for this tool. Next up, this week, Google staked its position in the AI arms race by announcing its commitment to dozens of new advancements in 2023. The New York Times reported that Google’s founders, Larry Page and Sergey Brin, were called in to refine the company’s AI strategy in response to threats like ChatGPT and major players like Microsoft, who just formally announced its multi-billion-dollar partnership with OpenAI. According to the Times, Google now intends to launch more than 20 new AI-powered products and demonstrate a version of its search engine with chatbot features this year. And finally, a new investigative report reveals the dark side of training AI models. A recent investigation by Time found that OpenAI used outsourced Kenyan laborers earning less than $2 per hour to make ChatGPT less toxic. That included having workers review and label large amounts of disturbing text, including violent, sexist, and racist remarks, to teach the platform what constituted unsafe outputs. Some workers reported serious mental trauma resulting from the work, which was eventually suspended by OpenAI and Sama, the outsourcing company involved, due to the damage to workers and the negative press. As Paul put it in a recent LinkedIn post, this raises larger questions about how AI is trained: “There are people, often in faraway places, whose livelihoods depend on them exploring the darkest sides of humanity every day. Their jobs are to read, review and watch content no one should have to see.”

Generative AI has so many benefits for marketers. But with the rapid pace of adoption—often with little to no oversight–-issues are quickly arising. From educational concerns to legal ramifications, Paul and Mike discuss this on this week’s Marketing AI Show podcast episode. Also, stick around for an update on the developments between OpenAI and Microsoft. First up, higher education has been rocked by ChatGPT. Professors and educators need to rethink assignments when it comes to essay writing, take-home tests might become a thing of the past, oral exams will be on the rise, and identifying plagiarism has a new twist. Schools are banning the use of ChatGPT in assignments, but how can they truly know how the assignment was completed? And should educators teach students how AI can augment their learning? One student has created a tool to identify content generated by ChatGPT, but is that really the solution? Next, generative AI is having some legal troubles. Stability AI has received formal notification of impending litigation. Intellectual property, derivative works, and copyright violations are all discussion points as these technologies advance and learn. As the line isn’t clear, and precedent has not been established, the court cases will continue to mount. GitHub and Midjourney are in the thick of this as well. Once fast to market, Reuters reported that Sam Altman says OpenAI’s GPT-4 will launch only when they can do it safely & responsibly. “In general we are going to release technology much more slowly than people would like. We’re going to sit on it for much longer…” That’s a good thing, but is it too late? Finally, last week in episode 29, we discussed Microsoft and OpenAI. On Microsoft Azure’s website, they announce, “Today, we are excited to announce the general availability of Azure OpenAI Service as part of Microsoft’s continued commitment to democratizing AI, and ongoing partnership with OpenAI.” As part of this, DALL-E 2 and ChatGPT can be integrated into their clients’ cloud apps. Developers are currently required to apply for access, and have to describe their intended use cases and applications before they can get access. Catch up on the latest news and think about these developments and what it means to you and your business.. Listen to the podcast below or in your favorite podcast player.

It’s been another exciting week in the world of artificial intelligence. What does it mean for marketers? The guys break it down on The Marketing AI Show. First up, Paul and Mike have hypothesized about this, and now the speculation has come true. According to a scoop from The Information, Microsoft plans to incorporate OpenAI’s ChatGPT into its Bing search engine. Today, Google handles more than 80% of search traffic. In comparison, Bing processed about 9% of worldwide searches in 2022. Rumor has it Microsoft is making a major play into using ChatGPT-like AI answers in search. Not to mention, this could open the door to using ChatGPT in Word and other Office products. Just days after the scoop, Semafor reported that Microsoft has been in talks to invest up to $10 billion in OpenAI. The funding would eventually give Microsoft a 49% stake in the company, valuing it at $29 billion total. Next, Microsoft just announced a major milestone development in voice AI. The company revealed an AI model called VALL-E that can synthesize anyone’s voice using just 3 seconds of audio. Microsoft shared some audio samples, and simply put, Mike Kaput said they are “pretty stunning.” Based on just a few seconds of a person saying a random sentence, VALL-E can create completely new speech from scratch in their exact voice. The implications of hyper-realistic voice AI technology are widespread and mind-blowing. Finally, Paul’s recent LinkedIn post on AI disrupting marketing agencies got a lot of attention. In it, Paul said, “Artificial intelligence is going to disrupt a lot of marketing agencies in 2023. Some will seize the opportunity and create enormous value for themselves and their clients, while many will be obsoleted. These laggards won’t all die off overnight, but their relevance and value will quickly fade, and their clients (and people) will move on.” Hear Paul’s motivation for writing the post and the conversation that ensues. As advancements become more prevalent, conversations have become more important for marketers and business leaders. Tune in to see how you can act on these developments. Listen to the podcast below or in your favorite podcast player.

At Marketing AI Institute, we are seeing strong quantitative and qualitative evidence that indicates we are at an AI inflection point, where the technology begins to go fully mainstream in 2023—with profound effects on…well…everything. For years, we have hypothesized that AI has the power to change just about everything in marketing, business, the economy, and society at large. In 2022, we saw that hypothesis confirmed thanks to an explosion of AI capabilities and technologies driven by the stunning power of generative AI tools like ChatGPT. In a matter of months, even the brightest minds in AI have been surprised by how quickly and effectively AI tools have reshaped what we thought possible in marketing and business. We’re going to devote today’s episode to outlining why we think we’re about to enter a golden age of AI progress that will reshape the work of every professional in every industry.

Mike and Paul are back for another episode of The Marketing AI Show. Paul ran a head-to-head test of AI writing tools and posted about it on Twitter and LinkedIn. On both platforms, the posts gained traction and good feedback from our community and from technology companies. In the experiment, Paul ran the same three prompts/use cases through a handful of different tools. The tools were OpenAI’s ChatGPT and their Playground functionality; Cohere; Jasper; Writer; and HyperWrite. It’s an interesting case study showing AI in action. Next up, we’ve all seen plenty of examples online, many impressive, of what ChatGPT can do. In addition to writing text, ChatGPT is generating outlines, doing research, answering complex questions, and surfacing information. This has led to some serious online conversations asking the following question: Will ChatGPT replace Google search? Today, plenty of ChatGPT’s responses are inaccurate and don’t contain citations, but some people are already imagining a future where we no longer use a Google search to find information. The third topic of this week’s podcast is MyHeritage. MyHeritage is a discovery platform that helps you find people related to you. The company just released a free tool called AI Time Machine. You upload photos of yourself, then the AI creates hyper-realistic avatars of you in different historical time periods, from prehistoric times to Ancient Egypt to modern times. It’s a timely twist on hyper-popular photo apps like Lensa that are getting a lot of buzz.

Paul and Mike discuss three hot topics in the world of marketing and artificial intelligence: An app called Lensa AI is taking the world by storm—and creating a lot of controversy as it does. Lensa allows you to upload photos of yourself, about 10-20 selfies, then it uses AI to generate dozens of avatar photos of you in many different styles, from serious and realistic to fantastical. The app has been generating $1 million or more in revenue per day as everyone and anyone can now create images of themselves using AI. But controversy ensues. For five years now, McKinsey has been conducting its Global Survey on AI by surveying thousands of business leaders on how they use artificial intelligence. This year’s findings are now out in McKinsey’s State of AI in 2022. There’s a ton to unpack, so check out the show notes for the link. But three big points jumped out at me. The third topic stems from Paul Roetzer's LinkedIn post and a Twitter thread that are getting a lot of attention. In both of them, Paul outlined why anyone who runs or invests in a software company needs to have a concrete plan for considering how AI will enhance and disrupt the business. Specifically, Paul mentions that “If I was running a software company right now, I would be aggressively exploring how recent advancements in AI (and the ones that are coming in 2023) could disrupt the business.” Tune in!

Paul and Mike are back on The Marketing AI Show covering this week's top stories in AI, marketing, and business. This week, ChatGPT takes center stage, but there are also some other developments worth mentioning. On November 30, OpenAI launched ChatGPT, a chatbot that anyone can converse with by typing in text prompts. All you have to do is type in a question or a command, and ChatGPT produces a response. Now, this sounds simple, but everyone in the AI world is positively stunned by the result. That’s because, as Kevin Roose at the New York Times puts it, “ChatGPT is, quite simply, the best artificial intelligence chatbot ever released to the general public.” Our team tested it out, and we share our results. ChatGPT isn’t just a big deal for marketing. Some commentators have started to connect the dots about what ChatGPT means for business as a whole, the economy, and society. We also discuss Meta's CICERO, the Lensa app, Runway's funding, DeepNash, Character.ai, and more.

While our Institute focuses on AI in the marketing world, some of the biggest companies in the world are finding AI applications for the business world and our personal lives. Artificial intelligence will be, and already is, embedded in our world. What are the big players working on? Mike and Paul discuss this on this week’s podcast. This episode kicks off discussing consulting firm Deloitte, who recently published a rundown of how AI for work relationships could be the next big thing in your office. Deloitte says that AI can “analyze human interactions during and after an event to generate personalized, confidential recommendations at an individual and organizational level to help improve human interactions at work.” They give a hypothetical example to illustrate the point: Imagine a near-future workplace where AI recommends how you should write a diplomatic email to two leaders pulling you into a nasty turf war. In this scenario, AI could recommend appropriate language and courses of action to resolve the dispute. It’s an interesting discussion on the opportunities and challenges, including the five areas Deloitte feels AI will have a big impact on work relationships. Next, OpenAI, the creators of GPT-3 and DALL-E 2, just launched a program to fund and support founders creating transformative AI companies. The program is called Converge. According to the company, it is a “highly-selective, five-week program for exceptional engineers, designers, researchers, and product builders using AI to reimagine products and industries.” Participants receive a $1 million equity investment from OpenAI’s Startup Fund. They also get early access to OpenAI models and programming tailored to AI companies. In addition, they get workshops, office hours, and events with AI practitioners. OpenAI says it’s motivated by “the belief that powerful AI systems will spark a Cambrian explosion of new products, services, and applications.” Mike and Paul discuss why hungry entrepreneurs are critical to the success and adoption of AI. Lastly, this past week, Google revealed a handful of incredible AI projects that it’s been working on, and they provide a glimpse of the near future of AI. These reveals break down into two broad categories: AI for social good and generative AI. On the social good front, Google revealed ideas such as AI for wildlife tracking, AI for flood forecasting, an AI-powered maternal health app, and an AI model that speaks the world’s 1,000 most-spoken languages. On the generative AI side, Google revealed self-coding robots, where robots can autonomously generate new code. Mike goes through a cool example, and they discuss the implications of these new projects. Listen to this great conversation with our team, and stick around for the end of the podcast for the rapid-fire discussion at the end!

This week Paul and Mike talk about three news stories and happenings in the world of artificial intelligence, and they break down their importance to marketers. In a word (or two): buckle up. Well-known marketer Neil Patel recently revealed the results of Google’s latest algorithm updates on sites he owns that have AI-generated copy—and the results weren’t pretty. Patel disclosed that he has “100 experimental sites that use AI-written content.” He claims the sites are simply to figure out how Google perceives AI-written content, not to “game” the algorithm. Regardless of the motivation, he sure found out. Next, Boston Consulting Group, BCG, recently released its guidelines for how companies should approach AI based on its Responsible AI Leader Blueprint. BCG defines responsible AI as “developing and operating artificial intelligence systems that align with organizational values and widely accepted standards of right and wrong while achieving transformative business impact. And finally, earlier this year, the Partnership on AI did work on better understanding how AI will change the local news landscape by talking to 9 different experts in the space, including prominent media outlets and technologists. The Partnership on AI is a major nonprofit that was founded by Amazon, Facebook, Google, DeepMind, Microsoft, and IBM to research and share best practices around the development and deployment of artificial intelligence. Listen to the conversation.

Paul and Mike return, discussing three more hot topics in the world of artificial intelligence. Adobe, along with many other innovators, has been experimenting with Generative AI. It is a transformational technology, one that will accelerate the ways artists brainstorm and explore creative avenues — and make creativity accessible to millions more people. At the same time, like many new technologies, Generative AI has raised valid concerns. Among the questions: How is the work of creative people being used to train AI models? And how will we know whether something we see was created by a human or a computer? Next, New York City-based CALA, a startup that bills itself as the “world’s first operating system for fashion,” offers a digital platform (including a mobile app launched in March) that allows creators to design and produce clothing lines, unifying the process from product ideation through order fulfillment. With the addition of DALL-E-powered text-to-image generating tools, users can generate new visual design ideas from natural text descriptions or uploaded reference images – which the company says are first-of-its-kind capabilities for the fashion industry. And finally, Sequoia Capital just signaled that they’re all-in on generative AI. Sequoia is one of the best-known venture capital firms on the planet, with decades of experience investing in some of tech’s biggest names like Apple, Google, Instagram, LinkedIn, and PayPal. Recently, Sequoia published a post called “Generative AI: A Creative New World,” where they laid out their position on generative AI tools like Jasper, DALL-E 2, Stable Diffusion, and others taking the world by storm. Listen to the conversation.

It was a busy week in the world of artificial intelligence! Mike and Paul are back on The Marketing AI Show to discuss three AI hot topics in the news. They’ll add their take on these developments and what it means for marketers and business leaders—and perhaps with an idea or two on how the Marketing AI Institute could support you. Gartner came out with a report identifying seven technology disruptions that will transform sales over the next five years. Gartner says sales leaders need to recognize, prioritize and respond to these disruptions: generative artificial intelligence (AI), digital twin of the customer, augmented reality/virtual reality (AR/VR), machine customers, digital humans, emotion AI, and multimodality. Next, It was a good week for generative AI funding. Stability AI, the world's first community-driven, open-source artificial intelligence (AI) company, raised $101 million in funding. Additionally, Jasper secured a $125 million series A funding round at a $1.5 billion valuation.

This week Paul and Mike talk about three AI stories in the news and add their take on these developments and what it means for marketers and business leaders. On October 4, the White House released what it calls an “AI Bill of Rights,” a document that offers a blueprint of “five principles that should guide the design, use, and deployment of automated systems.” It is not binding in any way, legally or otherwise. But they are an important initial effort by the US government to draw attention to the impact of artificial intelligence on our daily lives. In an exclusive interview with McKinsey released in late September, Dr. Kai-Fu Lee, a world-leading AI expert, investor, and author spoke with McKinsey about how business leaders can use AI in their operations and what it means to be a truly AI-driven company. Meta, the company formerly known as Facebook, just released Make-A-Video, an AI system that turns text prompts into machine-generated video clips. This means you can type in a prompt, like “a horse drinking water,” and Make-A-Video will understand the prompt and create a video clip of it in a specific style. This type of generative AI does for video what a tool like DALL-E 2 does for images: it creates unique visuals from a simple text prompt in seconds. The tool isn’t yet publicly available like DALL-E 2 but has major implications for businesses and creators.

This is a special, book-launch edition for Marketing Artificial Intelligence: AI, Marketing and the Future of Business, which is available starting June 28, 2022, in audio, digital, and print. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage...and discuss it on this week's podcast. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity.

In a survey by IBM, 3,000 CEOs said technological factors were the number one concern for their enterprises over the next two to three years. As a result, 60% say they’re accelerating digital transformation efforts. This should be good news for CMOs. According to research from The CMO Council, the majority of the C-suite says the essential role of a CMO is to be a digital transformation leader. As companies go all-in on digital transformation driven from the top, CMOs should stand to benefit. But are CMOs prepared? In this week’s episode, Paul and Mike break down some key findings from our AI for CMOs report, discuss opportunities for CMOs and marketing leaders, and more.

AI has many use cases for the marketing world, and this week Paul Roetzer and Mike Kaput are talking about AI for advertising. From allocating ad budgets to optimization, ad versioning, targeting, copywriting, and more, AI can help advertisers and agencies more than many realize. This episode is the first in a series of AI use cases by marketing discipline, based on chapters of their new book, Marketing Artificial Intelligence: AI, Marketing, and the Future of Business. Paul and Mike talk about case studies including HOLT CAT, Vanguard, and more.

With each day that passes, and each advancement in artificial intelligence language and vision technology, it is becoming more apparent that there will be three types of businesses in every industry: AI Native, AI Emergent, and Obsolete. Paul Roetzer kept running through examples in his mind—retailers, ecommerce shops, marketing agencies, event businesses, media companies, law firms, medical practices, artists, writers, graphic designers, financial advisors, banks, insurance brokers and carriers, software makers, game and app developers, real estate brokers, consumer products makers, hotels, restaurants, manufacturers, distributors, educational institutions—and he couldn’t come up with an industry or business model where this won’t be true. That's the basis for this week's Marketing AI Show podcast. In this episode, Paul is in the hot seat, and our Chief Content Officer, Mike Kaput, interviews Paul about this topic and a recent article he posted about it.

In this week's episode, Paul and Mike sit down to talk about AI and how we use it at the Marketing AI Institute. With our annual Marketing AI Conference (MAICON) coming up in August, we're currently marketing the event and pushing registrations. But with so many folks in our database, how can we laser focus our efforts? We're using AI and technology to help us predict high priority contacts based on their probability to purchase (more intelligent)...so we can reach out to them with customized, personalized communications (more human). We get transparent about our internal processes and hope you can learn something from this as well.

Paul Roetzer and Mike Kaput discuss AI in the news in this new format for our podcast. Recent breakthroughs in language and vision AI technologies are accelerating innovation and creating increased uncertainty about where the limits of intelligent systems will be in the months and years ahead. Every career path, business, and industry will be changed by AI. It’s simply a matter of time And as designers learned with the introduction of DALL-E 2. And writers are learning with the rapid advancement of large language models from OpenAI, Google, Meta AI, and others. The future may be closer than we care to believe. So, what can you do to turn this uncertainty into opportunity? Start by asking three questions: What will be lost? What will be gained? When? If you’re curious enough to understand what AI is, and what it is capable of doing, you will be able to see the inevitable transformations that are coming to your profession. Listen to this episode with Mike and Paul.

As part of our AI for CMOs series sponsored by Persado, Paul Roetzer is interviewing CMOs paving the way in onboarding and scaling AI-powered technologies in their marketing and businesses. In this second episode in the series, Paul sits down with Andrea Brimmer, CMO of Ally. Ally, a leading full-scale digital financial services company, is currently using AI-powered technologies for conversational AI, document management, and to speed up and more efficiently run processes. Brimmer is widely recognized as one of the country’s most innovative and effective marketing leaders. Among her many honors and accolades include being named a winner of Adweek’s 2020 Brand Genius awards for marketers who have skillfully led their brands’ messaging to new heights. She has been named three times to Forbes’ list of World’s Most Influential CMOs and a two-time honoree of 100 Leading Women by Automotive News.

As part of our AI for CMOs series sponsored by Persado, Paul Roetzer is interviewing CMOs paving the way in onboarding and scaling AI-powered technologies in their marketing. In this first episode in the series, Paul sits down with John Dougherty, Chief Marketing Officer at Brighton Jones. John's role spans audience segmentation, automation, branding, digital media, events, messaging, inbound marketing, demand generation, and ROI. He develops the marketing vision and strategy with the support of his martech stack. Leaning on his agency experience, John views his business development team and business segments as “clients,” and focuses on providing the assets and tools needed for each to accomplish their goals. Improving marketing through the use of AI-powered tech opens up opportunities for John and his team to build and nurture and community through unique relationships with their customers.

In this week's episode, show host Paul Roetzer sits down with Cade Metz, technology correspondent for The New York Times, and author of the book Genius Makers: The Mavericks Who Brought AI to Google, Facebook and the World. This special episode took place during MAICON 2021 when Paul and Cade sat down for a fireside chat to discuss the story of AI throughout the past few decades. Cade's book, published in 2021, gives readers an insider’s look at the mavericks leading the race for AI supremacy. Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question: How far will we let it go? As one of Paul's opening lines of the interview, "[Genius Makers] literally just changed my perspective on the significance of what's happening," this episode dives into greater detail into some important moments in the book.

In this week's episode, show host Paul Roetzer sits down with Karen Hao, senior AI editor, MIT Technology Review. This special episode took place during MAICON 2021 when Paul and Karen sat down for a fireside chat to discuss responsible AI. In this episode, Paul and Karen explore the ethical development and application of AI. Drawing on her expansive research and writing, Hao offers: An inside look at the policies and practices of major tech companies. Lessons learned that you can use to ensure your company’s AI initiatives put people over profits. A look into what's next and what's needed for responsible AI.

In this week's episode, show host Paul Roetzer, sits down with Britney Muller, Founder of Data Science 101 and former senior SEO scientist with Moz. Britney is a prototype of what we call a next-gen marketer—or someone who understands what is possible with smarter technologies. In the episode, Muller talks about machine learning from her perspective, and the different tools and resources available to help apply AI in your career. She also discusses: Specific AI use cases for SEO. The impact of AI on marketing and SEO professionals in the next 3 - 5 years. Advice for marketers who are just getting started with machine learning and AI.

In this episode, Kevin Walsh, Group Product Manager for AI at HubSpot, gives us an inside look at how HubSpot thinks about artificial intelligence, and what customers can be doing to take advantage of AI-powered features within the CRM platform. Show host Paul Roetzer also dives into HubSpot’s point of view on AI, AI applications in the platform that customers can use today to make their marketing smarter, and a little bit into the company’s product roadmap for AI solutions!

How can AI enable brands to deliver personalized customer experiences in real-time, so you can increase your revenue, shorten your sales cycle and strengthen your brand? Drift leaders, Maggie and Jordan, discuss how they use AI to achieve all of the above. They also share how Drift (the world's leading conversational marketing and sales platform) thinks about AI, plus how the company is integrating AI into its platform. Listen to the full episode for more on: Virtual Selling Assistants and how they differ from other chatbots. What an AI-powered industry means for marketers. Tips to get started with conversational marketing or advance the process you already have.

We are entering the age of intelligent automation. What does it mean for marketers? How will our jobs evolve? These are just a few of the questions we sought to answer in the 2021 State of Marketing AI Report. We teamed up with Drift in fall 2020 to gain unparalleled insights into the awareness, understanding and adoption of AI throughout the industry. What we learned is that the industry is on the cusp of transformation. In this episode Paul Roetzer, Founder and CEO, Marketing AI Institute, and Mike Kaput, Director, Marketing AI Institute, dive deep into 10 key findings from the newly released research. Listen to the whole interview to hear more about: Were there any surprises in the results? What does it all mean for the future of the industry? What does it mean for your career?

During his interview with show host Paul Roetzer, Harry discusses practical applications of AI that he has worked on and forecasts game-changing innovations coming in the next three to five years. Listen to the whole interview to hear more about: How AI will change our jobs as marketers. How machines can make us more human. Why McDonald’s is one of the most innovative brands he’s worked with. Tips for marketers looking to become innovators.

David Meerman Scott digs into the dark side of social media and considers the question: Is Facebook evil? He also shares his thoughts on how AI-powered algorithms are affecting the way we consume news, and what it all means to brands and marketers.

In this episode, we address the burning question that drove our show host, Paul Roetzer, to start exploring AI years ago: Can AI create content? Back in 2015, the answer was generally no. But, so much has changed that impacts journalists, marketers, and the future of business. In this interview with Jeff, we discuss: How AI can level up your content marketing. How major advancements in natural language generation (NLG) are transforming the field. Predictions for the future of content marketing as we know it. Plus, major MarketMuse announcements for 2021.

In this episode, our main topic is conversational AI. Paul and Christi discuss the prevalence of conversational AI in our everyday lives—from voice search to chatbots and how they affect consumer behavior. She also answers several questions she gets from her marketing peers: When it comes to voice search, where are the answers pulled from? And how does that affect my brand’s ability to show up? What is the difference between voice search and digital assistants? How can marketers get started with conversational AI? And what role will it play for the future of marketing?

Mathew is regarded as one of the leading minds on the future of marketing. During his interview, Mathew discusses the “Post AI Consumer,” and how AI has already changed the way consumers connect, find things, interface with technology, and make purchasing decisions. Listen to the show to hear more about: How deep fakes can actually be a positive thing. Shopping on the "edge," and why it’s the next major wave of commerce. How you can adapt to a world in which AI powers everything. Ways to understand and apply AI in your career now.

In The Marketing AI Show, you’ll hear from top authors, entrepreneurs, researchers and executives as they share case studies, strategies and technologies that have the power to transform your business, and your career. Listen to the trailer for more on what to expect.