EPISODE 21
The Next AI Era: Agents & Adoption
In this episode, we welcome Mike Alvarez, Chief Technology Officer at NeuZeit, a consulting firm specializing in value acceleration, particularly for AI initiatives. Mike shares insights on agentic architectures, their role in automating complex workflows, the evolving landscape of AI governance, and how businesses can balance innovation with structured AI adoption.We explore the challenges and opportunities in AI value acceleration, discussing how enterprises can move beyond experimentation to real, operationalized impact. We also examine key trends shaping AI in 2025, from advancements in AI-driven automation to the growing need for human-centered governance frameworks.
Episodes
EPISODE 20
Enterprise AI is Evolving: Key Takeaways
This week, our hosts Nick Woo, Rehgan Bleile, and Brendan Kelly celebrate their 20th episode with a reflection on AI advancements in 2024 and predictions for 2025.
In this episode, the team dives into the diverse maturity levels of enterprise AI adoption, from early experimentation to large-scale deployment, the role of executive buy-in, and collaboration between business and technical teams. They highlight the rise of AI agents, growing reliance on data quality, and the shift toward optimization and governance as enterprises consolidate tools and processes. Looking ahead, they predict faster deployment cycles, deeper integration of AI into workflows, and a focus on user-centered design.
EPISODE 19
Governing AI: Ethics & Impact in Healthcare
On this episode, we welcome Bhavna Mehta, Assistant Vice President of Data and Analytics at Cincinnati Children’s Hospital Medical Center. Bhavna leads initiatives in data governance, AI governance, analytics, and business intelligence, leveraging her technical expertise and strategic insight to bridge the gap between innovation and practical implementation in healthcare.
We explore the critical role of AI ethics and governance in healthcare, focusing on explainability, trustworthiness, and alignment with organizational values. Additionally, we discuss how fostering a culture of data-driven innovation empowers organizations to adopt AI responsibly and effectively. Finally, we examine the transformative potential of AI when strategically aligned with priorities like improving patient care, reducing clinician burnout, and accelerating research impact.
EPISODE 18
Listener Q&A: AI Adoption and Governance
This week, our hosts Nick Woo, Rehgan Bleile, and Brendan Kelly return for a special Q&A episode, addressing listener questions about AI adoption and governance in large enterprises. They explore how organizations balance AI innovation with practical implementation, focusing on integrating AI into existing systems while managing data privacy and security.
The hosts dive into how enterprises can approach AI use case prioritization, weighing internal applications against more complex, customer-facing solutions. They also discuss the shift from building AI in-house to purchasing specialized solutions for greater efficiency. Additionally, they highlight the critical role of governance, including AI Centers of Excellence (COEs) and committees, in overseeing and guiding AI initiatives.
EPISODE 17
Finding Truth in AI Generated Content
This week, our hosts Rehgan Bleile (Avon), Nick Woo, and Brendan Kelly discuss the latest in AI, including AI regulation, synthetic data, and risk management. We discuss the push for watermarking AI-generated content to increase transparency and the challenges of enforcing these regulations. We then cover the risks of using synthetic data repeatedly for training, which can lead to a decline in AI model accuracy and reliability over time.
We also dive into how organizations are setting up AI Centers of Excellence (COEs) and councils to better manage AI initiatives and navigate the balance between innovation and risk. Additionally, we explore a shift from large, general-purpose models to smaller, specialized models that are better suited for specific tasks.
EPISODE 16
Managing an AI Workforce
On this episode, we welcome Kathy Koontz, who currently serves as the Global Head HCLS Data & AI at AWS. Her career includes significant roles at Nationwide, Teradata, and Wells Fargo, where she has focused on embedding core data practices into organizational frameworks.
During this episode, we dive into Kathy's expertise, gaining valuable insights for integrating core data fundamentals and practices. We explore how change management is essential for effectively deploying AI across organizations. Additionally, Kathy highlights the significance of understanding the content and quality of unstructured data, explaining that this knowledge is essential for accurately representing and achieving successful business outcomes.