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TITLE: AI-First Marketing: Nick Brackney on Dell's Transformative Journey
Nov 10, 2025
39m 31s
Marketing and the CTO - Collaborating for AI Adoption
Sep 3, 2025
Unknown duration
AI in the Enterprise: Strategy and Tools - Mike Kaput, CCO, Marketing AI Institute
Jul 2, 2025
Unknown duration
Integrating AI at Scale: Stress-testing your organization - Hadley Ferguson, Uber
Jun 17, 2025
Unknown duration
Riding the AI Wave
Mar 25, 2025
Unknown duration
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 11/10/25 | ![]() TITLE: AI-First Marketing: Nick Brackney on Dell's Transformative Journey✨ | AI marketingdigital transformation+3 | Nick Brackney | Dell | — | AI toolsmarketing organization+3 | — | 39m 31s | |
| 9/3/25 | ![]() Marketing and the CTO - Collaborating for AI Adoption | This episode explores the critical intersection of marketing strategy and technological advancement, specifically focusing on AI adoption through robust collaboration with the office of the CTO.Join hosts Yadin Porter de Leon and Jessica Hreha as they welcome Kit Colbert, CTO of Invisible Technologies, a distinguished leader with over two decades of experience in technology innovation, including a significant tenure at VMware. Kit provides invaluable insights into fostering effective partnerships between CTOs and marketing teams for successful AI integration.Key discussion points include: | — | ||||||
| 7/2/25 | ![]() AI in the Enterprise: Strategy and Tools - Mike Kaput, CCO, Marketing AI Institute | In this illuminating episode of the AI Edge Podcast for Enterprise Marketers, hosts Yadin Porter de Leon, Jessica Hreha, and Michelle Moore sit down with Mike Kaput, Chief Content Officer at Marketing AI Institute and co-author of Marketing Artificial Intelligence: AI, Marketing and the Future of Business. | — | ||||||
| 6/17/25 | ![]() Integrating AI at Scale: Stress-testing your organization - Hadley Ferguson, Uber | In this episode, hosts Yadin Porter de Leon and Jessica Hreha welcome Hadley Ferguson, Director of Global Content, Community Operations at Uber. The discussion focuses on Uber's successful custom integration of AI tools at scale, highlighting how it serves as a "source of truth" for centralizing knowledge, ensuring compliance and brand consistency, automating content generation (over one million saved replies and 50,000 help center articles), and improving agent efficiency. Hadley also shares insights on integrating AI into existing workflows and proactively identifying support needs. The episode explores what it means for an organization to "Leverage AI," the necessary changes to make it happen, and the strategic intent behind such initiatives. Tune in for practical strategies, team and tool considerations, and the real business impact of AI implementation in a large enterprise. | — | ||||||
| 3/25/25 | ![]() Riding the AI Wave | Hosts Yadin Porter de León and Jessica Hreha dive deep into the transformative potential of AI with guests Catherine Richards and Bob Mitton from Expera Consulting. The conversation goes far beyond surface-level AI discussions, offering marketers a nuanced roadmap for strategic AI adoption. | — | ||||||
| 12/9/24 | ![]() The Quiet Shifts Caused by AI Adoption | In the latest episode of the AI Edge Podcast, hosts Jessica Hreha and Yadin Porter de León dive deep into the fascinating world of AI's "quiet adoption" – a transformative movement happening outside of the main stream media. This isn't your typical tech discussion about AI replacing jobs. Instead, Jessica and Yadin explore the nuanced, human side of technological integration. They uncover how individuals are quietly leveraging AI tools to become more efficient, juggle personal responsibilities, and reimagine their work processes – often without their organizations' full awareness or support. Key insights include: The challenges of individual AI learning versus strategic organizational adoption How AI is revealing existing workflow gaps and inefficiencies The cultural shift happening beneath the surface of workplace technology Why sharing AI learnings is crucial for collective progress The conversation is a compelling reminder that technological transformation is less about the tools themselves and more about how people adapt, learn, and collaborate. Jessica suggests that the "quiet" and "shadowy" approach to AI adoption can feel almost selfish – by not sharing insights, we're missing opportunities for collective growth. | — | ||||||
| 9/17/24 | ![]() Marketing is Now a Strategic Board-Level Conversation Because of AI | In this episode of the AI Edge Podcast, Yadin Porter de León is joined by Liza Adams, an AI advisor and fractional CMO, to discuss the strategic value of marketing in the age of AI. The conversation delves into how AI tools are transforming marketing strategies and enabling marketers to demonstrate their strategic value to organizations. Liza shares a compelling case study where she used AI to facilitate a data-driven market segmentation process, leading to clearer strategic direction and improved cross-functional collaboration. Key highlights include: 1. Using AI for strategic market segmentation: Liza describes how she leveraged ChatGPT and Claude to analyze multiple criteria and create a heat map for evaluating market segments, enabling real-time adjustments during executive discussions. 2. Democratizing strategic thinking: By creating a custom GPT for the segmentation process, Liza demonstrates how AI can make sophisticated strategic approaches accessible to broader teams. 3. Enhancing cross-functional collaboration: The AI-driven approach helped marketing align with other departments, including product development and sales, showcasing marketing's strategic value beyond tactics. 4. Overcoming data challenges: While AI tools offer powerful analysis capabilities, the podcast highlights the importance of clean, well-formatted data for optimal results. 5. Embracing AI literacy: Liza emphasizes the importance of marketers becoming AI-literate, encouraging experimentation and curiosity when working with AI tools. The discussion underscores how AI is enabling marketers to scale their strategic efforts, shift perceptions of marketing from tactical to strategic, and drive more impactful business decisions. Liza and Yadin stress that while AI is a powerful tool, human expertise remains crucial in guiding its use and interpreting results. | — | ||||||
| 8/30/24 | ![]() Staying Focused When Adopting AI | In this episode of The AI Edge podcast, host Yadin Porter de León and co-hosts Jessica Hreha and Michelle Moore welcome AI marketing innovator Natalie Lambert to discuss the strategic implementation of AI in enterprise marketing. Key Highlights: 1. Focused AI Adoption: Natalie emphasizes the importance of prioritizing specific use cases and providing targeted education when introducing AI tools to marketing teams. This approach helps overcome initial hesitation and demonstrates tangible benefits. 2. Hands-On Learning: The discussion highlights the effectiveness of interactive workshops where marketers, including C-level executives, can experience AI tools firsthand. These sessions often lead to "aha" moments that drive adoption. 3. Balancing AI and Human Input: The conversation stresses the continued importance of human oversight in AI-generated content, particularly for brand consistency and legal compliance. 4. Productivity and Job Satisfaction: Real-world examples illustrate how AI can enhance job satisfaction by automating tedious tasks and allowing marketers to focus on more strategic work. 5. Emerging AI Capabilities: The hosts and guest explore exciting developments in AI, such as the ability to create interactive content components like quizzes, potentially revolutionizing engagement strategies on marketing websites. 6. Change Management: The episode touches on the challenges of implementing AI in large organizations and the importance of leadership buy-in to drive adoption. | — | ||||||
| 8/9/24 | ![]() AI Is Not a Strategy | In the latest episode of the AI Edge Podcast, "AI Is Not a Strategy," hosts Yadin Porter de León, Jessica Hreha, and Michelle Moore are joined by guest Robert Rose, founder and chief strategy officer of the Content Advisory. The episode delves into the role of AI in enterprise marketing, emphasizing that AI should not be viewed as a standalone strategy but rather as a tool to enhance existing strategies. Robert Rose argues that AI is an innovation seeking a strategy rather than a strategy itself. He compares it to electricity or telephones, which require a strategy to be effectively utilized within a business context. The discussion highlights the importance of integrating AI into business strategies rather than using it as a replacement for human creativity. The episode addresses the current challenges enterprises face in adopting AI, particularly in content creation. Many marketing teams are experimenting with AI but struggle to integrate it fully into their processes. The conversation suggests that AI is often misunderstood as a tool for generating new ideas, whereas its strength lies in expressing and augmenting existing ideas. The hosts discuss the misconceptions surrounding AI, such as the belief that it can replace human creativity. They stress the need for businesses to set realistic expectations and focus on how AI can support creative processes rather than replace them. The podcast emphasizes the need for a structured approach to integrating AI into marketing strategies. Robert Rose suggests a "getting ready to get ready" strategy, which involves preparing marketing teams to leverage AI effectively in content creation and other marketing processes. This episode is particularly relevant for B2B enterprise marketers looking to understand how to incorporate AI into their marketing strategies effectively. The insights shared by the hosts and guest provide valuable guidance on navigating the complexities of AI adoption in large organizations. | — | ||||||
| 6/26/24 | ![]() The State of AI in Marketing | In this episode of the AI Edge podcast, host Yadin Porter de León, Michelle Moore, and Suzanne Ambiel welcome Paul Roetzer, founder and CEO of the Marketing AI Institute, to discuss the current state and future of AI in marketing. Key Takeaways: » AI Adoption in Marketing: Most organizations are still in the early stages of AI adoption, with a lack of literacy being the biggest barrier. Many companies are experimenting with AI tools, but few have reached the scaling phase. » Decentralized Innovation: Marketing teams often lead AI initiatives due to the abundance of use cases and available vendors in the marketing space. This can sometimes lead to a disconnect with IT and other departments. » Education and Implementation: Roetzer emphasizes the importance of education and hands-on experience with AI tools. He suggests starting with small, measurable projects to build confidence and demonstrate value. » Strategic AI Applications: The discussion covers the potential for AI to assist in data analysis, strategic planning, and decision-making. Roetzer shares his vision for a "marketing intelligence engine" that could revolutionize how marketers approach strategy. » Future Impact: While the long-term effects of AI on marketing roles and strategies remain uncertain, the technology is expected to significantly enhance efficiency and creativity. The podcast touches on the potential for AI to accelerate scientific discovery and innovation in fields like medicine and climate science. For B2B enterprise marketers, this episode provides valuable insights into the current AI landscape, offering practical advice on implementation and highlighting the potential transformative impact of AI on marketing strategies and operations. The discussion encourages marketers to start exploring AI applications now, while also considering the broader implications and ethical considerations of AI adoption. | — | ||||||
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| 6/4/24 | ![]() The Communicator's Guide to Ethical AI Integration: Guest Jennifer Clemente | In this episode of the podcast, Yadin Porter de León and Michelle Moore are joined by special guest Jennifer Clemente, a seasoned communications professional with a unique background in storytelling and content strategy. The discussion delves into Jennifer's journey from traditional media to embracing AI tools in corporate communications. She shares her experience in designing and teaching a three-week course on AI for communicators, shedding light on the key topics covered and the effective approach she employed. Jennifer emphasizes the importance of understanding the particularities and culture of communications teams, addressing their apprehensions, and overcoming obstacles to AI adoption. Through interactive sessions, case studies, and hands-on exercises, she guided participants in applying critical thinking, creative problem-solving, and ethical considerations when leveraging AI tools. The conversation also explores strategies for maintaining brand voice and tone when using generative AI, addressing legal issues surrounding IP protection, and measuring the impact of AI-generated content. Jennifer stresses the need for editorial oversight, continuous learning, and fostering a collaborative environment where teams can share experiences and best practices. Highlights include insights into building AI use cases tailored to communicators' needs, identifying potential biases, and ensuring ethical practices. Additionally, we discuss the value of personal AI experimentation, office hours, and peer-to-peer learning groups, encouraging listeners to embrace AI as a creative tool and prioritize employee satisfaction alongside productivity gains. | — | ||||||
| 5/15/24 | ![]() The CMO Perspective on Generative AI: With Laura Heisman, CMO of Dynatrace | In this insightful episode, Laura Heisman, CMO at Dynatrace (former CMO at VMware), provides a valuable perspective as one of the first chief marketing officers to champion the adoption of generative AI across an entire marketing organization. Heisman recounts the initial uncertainty surrounding generative AI tools in 2023, with many CMOs hesitant to embrace the new technology amid concerns around security, privacy, and determining effective use cases. However, Heisman's vision for keeping her organization at the vanguard of marketing innovation led her to empower passionate team members like hosts Jessica, Michelle and Yadin to launch the pioneering Marketing AI Council. She shares her approach to change leadership, emphasizing the importance of sustained internal communications to build excitement, well-defined governance for tool usage, and strategic upskilling to prepare marketers for new career opportunities. A key takeaway is Heisman's advice for marketers aspiring to drive generative AI initiatives within their organizations. She encourages them to raise their hands, take the lead, and proposes that in this "greenfield" environment, there is tremendous potential for go-getters to position themselves as subject matter experts. | — | ||||||
| 4/24/24 | ![]() Pretty Pictures: How AI transforms Creative Professionals | GenAI’s impact on visual and audio media - the pictures, videos, and sounds we use to illustrate our lives - has been nothing short of stunning. GenAI was at the heart of the recent Hollywood strike: actors, screenwriters and their kin all pointing to the negative and potentially ruinous impact of AI on their craft. Musicians and artists alike scramble to protect their original work before it’s snapped up and recreated by an engine somewhere. But it’s evident that their grip is tenuous - much like holding a fistful of water. It’s a paradigm shift - where does human creativity start and end? If the bots can produce it, is it really ours? And what’s the impact on truth - can we tell fact from fiction anymore? The age of digital disinformation has arrived. This episode focuses on the transformative impact generative AI has on the media arts. From music to video, design teams and agencies are leaning into GenAI and relying on it to shoulder more and more work. But where should it start and end? How much “human in the loop” is required? And when should you declare something is “AI generated” – or do you even need to? | — | ||||||
| 4/2/24 | ![]() Piloting AI - Making a creator out of every marketer | In this episode, we are joined by special guest and B2B tech storyteller Kitty McChesney. Show hosts Yadin, Maila and Jessica discuss strategies and tactics for piloting AI use cases within marketing teams. In this show we cover (among other topics) the following: The objective is to make every marketer a "creator" by piloting use cases that demonstrate how AI can augment and streamline marketing workflows like content creation, personalization, campaign optimization, etc. Successful piloting requires identifying AI champions within each team to drive adoption, getting leadership buy-in through activities like workshops, and creating a space for teams to experiment and share learnings. Special guest Kitty McChesney shares her experience piloting an AI writing assistant, treating it like a "student" to train it in the right tone, messaging, and process. Her pilot showed huge time savings in producing case studies, blogs, etc. compared to the typical agency timeline. Maila's demand gen team piloted using AI for personalized ad copy, seeing a 30% average lift in click-through rates when A/B testing against non-AI copy. Beyond time savings, AI can free up bandwidth to pursue higher-value creative campaigns and initiatives that were previously de-prioritized. The hosts emphasize the importance of proper governance, like fact-checking AI outputs, as the technology rapidly evolves. The episode provides pragmatic tips for piloting AI use cases in marketing to drive efficiency gains, creativity, and better performance. | — | ||||||
| 3/12/24 | ![]() First Things First: Creating AI Policies and Usage Guidelines | Has your organization created guidelines for using AI responsibly and ethically? This episode focuses on policies and guidelines for using generative AI responsibly within organizations. The hosts discuss why it's important for companies to establish AI principles and guardrails even if they don't have full policies in place yet. They provide advice on how to get started creating guidelines, emphasizing keeping them simple and accessible. The hosts recommend collaborating cross-functionally with legal, IT, marketing ops, and other teams when developing guidelines to ensure alignment. They also stress the need for continuous communication, education, and updates as AI policies evolve over time. Key takeaways include: start with high-level AI principles and values; balance guidelines between enabling and restricting use cases; leverage templates to create initial drafts; work across silos for broad input; keep guidelines concise and easy to find; and make AI governance an ongoing process. The hosts share real examples of AI guidelines and policies from companies like VMware and IBM to illustrate best practices. | — | ||||||
| 2/27/24 | ![]() The Marketing AI Council Origin Story | Join us on our inaugural episode, where we delve into the fascinating origin story of this groundbreaking initiative. In this episode, you'll discover the spark that ignited our own Marketing AI Council at a global marketing organization at a B2B software company. Hear firsthand from the pioneers who saw the potential of AI to revolutionize marketing and took action. From pilot project to industry force, witness the council's journey from a small experiment to a crucial resource for the global marketing organization. We'll also delve into the obstacles faced and the victories celebrated in building a community dedicated to responsible and impactful AI adoption. The whole team is here for episode one. You'll hear from Jessica Hreha, Maila Ruggiero, Yadin Porter de Leon, Suzanne Ambiel, and Michelle Moore and they take you through the details of how they got the Marketing AI Council Strated. | — | ||||||
| 2/13/24 | ![]() EP 0 - Introduction | Welcome to the introductory episode of the AI Edge podcast for Enterprise Marketing. This episode is for those keen to understand what the show is about and why we’re doing it. | — | ||||||
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