#175: AI Answers - AI for 10X Innovation, Rethinking GTM, Dangers of Progress at All Costs, Autonomous Marketing, How to Keep Up with AI, and Future of Web Traffic

#175: AI Answers - AI for 10X Innovation, Rethinking GTM, Dangers of Progress at All Costs, Autonomous Marketing, How to Keep Up with AI, and Future of Web Traffic

Fresh from MAICON, where we spent time both teaching and learning, we also recorded a special edition of AI Answers just for you. In this episode, Mike Kaput joins Paul Roetzer live from the conference to tackle questions submitted by MAICON attendees. From hands-on use cases to the future of AI in marketing and business, our hosts dive into the biggest themes shaping AI adoption today. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:05:19 — Question #1: Is “AI-first” in marketing really just about efficiency and content or can it actually create new, unique customer experiences? 00:07:49 — Question #2: How should B2B companies rethink their GTM playbooks? 00:11:12 — Question #3: What are the consequences of the “progress at all costs” mindset the AI labs have? 00:16:42 — Question #4: How far away are we from “autonomous” marketing? 00:20:31 — Question #5: Which AI-powered marketing tactic has surprised you by under-delivering, and what lessons did you learn? 00:21:46 — Question #6: What’s the most compelling early AI use case you’ve seen that helped leadership finally “get it,” i.e. enough to greenlight investment? 00:23:37 — Question #7: What’s your best guess about the impact of the ability to purchase, checkout, and pay for goods right within ChatGPT on Direct-to-Consumer brands? 00:25:13 — Question #8: What's the one change that has shocked you the most about AI and what impact does it have for marketers today and tomorrow? 00:27:31 — Question #9: Are companies overinvesting in “secure” in-house AI builds when frontier models already have strong privacy and safety standards? 00:30:24 — Question #10: How do you see AI being used in the non-profit sector? 00:33:36 — Question #11:What is it going to take for education institutions to actually start integrating AI? 00:36:47 — Question #12: How does the average (or above average) marketer stay on top of everything happening in AI? 00:38:04 — Question #13: What signs tell you an organization is ready to move from isolated AI pilots to scaled adoption? This episode is brought to you by Google Cloud: Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/ Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy

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#10: Karen Hao, MIT Technology Review: Responsible AI

#10: Karen Hao, MIT Technology Review: Responsible AI

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.

8 Mars 202244min

#9: Britney Muller, Data Sci 101: SEO Expert Talks AI Use Cases

#9: Britney Muller, Data Sci 101: SEO Expert Talks AI Use Cases

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.

6 Apr 202151min

#8: Kevin Walsh, HubSpot: Using AI to Help Businesses Grow Better

#8: Kevin Walsh, HubSpot: Using AI to Help Businesses Grow Better

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!

30 Mars 202147min

#7: Maggie Crowley & Jordan Esten, Drift: Accelerate Revenue with AI

#7: Maggie Crowley & Jordan Esten, Drift: Accelerate Revenue with AI

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.

9 Mars 202137min

#6: Special Edition: The 2021 State of Marketing AI Report

#6: Special Edition: The 2021 State of Marketing AI Report

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?

9 Feb 20211h

#5. Harry Syed, Exec. Director of Innovation: AI That Could Change Everything

#5. Harry Syed, Exec. Director of Innovation: AI That Could Change Everything

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.

2 Feb 202150min

#4. David Meerman Scott, Marketing Strategist: Is Facebook Evil?

#4. David Meerman Scott, Marketing Strategist: Is Facebook Evil?

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.

19 Jan 202143min

#3. Jeff Coyle, MarketMuse: Can AI Create Content?

#3. Jeff Coyle, MarketMuse: Can AI Create Content?

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.

19 Jan 202150min

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