The era of theoretical AI is over. We are moving from "cool demos" to production reality, but that transition requires a toolset that prioritizes trust, compliance, and scalability.

In this episode, we break down the most critical post-Dreamforce platform releases and what they mean specifically for Healthcare and Life Sciences organizations. We explore why the conversation is shifting from "what can we build?" to "how do we control it?"

In this episode, we cover:

• Agentforce Vibes: Why "vibe coding" isn't just a developer tool—it’s a way for Operations leaders to prototype ideas using actual Salesforce metadata, bridging the gap between concept and code.

• The Hybrid Builder (Agentforce Script): The feature Pharma has been waiting for. We discuss how to combine natural language reasoning with strict, deterministic "If-This-Then-That" logic to ensure agents follow legal and compliance guardrails every single time.

• Observability & Data 360: Moving beyond basic metrics to deep session tracing, allowing teams to debug specific conversation turns and measure real business value like deflection and resolution rates.

• Agentforce Grid: How to stress-test your prompts against hundreds of records simultaneously to catch hallucinations before they reach a patient.

• Intelligent Context: Solving the "unstructured data" problem by giving admins control over how agents chunk and retrieve data from complex documents like insurance cards.

Ellery Fisher, SVP and CIO at McKesson Medical-Surgical, discusses the modern trend of blending CIO, CTO, and CDO responsibilities. He explains how this unified approach—rooted in the goal of being a customer service company —is essential for modernizing the healthcare supply chain. Learn why organized data is the biggest prerequisite for AI success , how to use both deterministic and non-deterministic systems for complex problem-solving , and the crucial role of curious business partners in accelerating tech adoption.

In a world where people are turning to AI for therapy, what does it mean to build a safe, ethical AI for mental healthcare? This week on AI Explained, David Samwel and Appolonia Cornolius talk with Gijo Mathew, Chief Product Officer at Spring Health, to discuss his work at the forefront of this challenge.

Gijo shares how his personal experience as a father has shaped his professional mission to break down barriers to mental healthcare. He reveals how his past work creating security standards led to the development of a new ethics benchmark for AI, and why AI's ultimate purpose is to "superpower" clinicians and transform transactional care into a continuous, on-demand service.

This episode is a must-listen for anyone interested in the intersection of AI, strategy, and the future of healthcare.

Topics include:

• From SAML to Vera MH: The story behind creating a new ethical framework for AI in mental health.

• The "Human-in-the-Loop": Why human therapists are the "quarterback" of care and how AI empowers them to be more present.

• The 10x Bar: Setting a higher bar for AI to ensure patient safety and prevent over-reliance.

• Transforming Care: The vision for moving from transactional, 50-minute sessions to continuous, destigmatized, and always-on support.

Listen now and discover how ethical AI is poised to revolutionize the healthcare industry.

How does a technology leader transform IT from a cost center into a revenue-generating innovation engine?

In this episode, we sit down with

David Baker, Chief Information and Digital Officer at PDS Health, a trailblazing organization pioneering the "mouth-body connection" to deliver truly holistic patient care. David shares a masterclass on how to align technology with a long-term business plan, moving beyond theory to deploy AI, automation, and "hyper-personalization" at scale across more than a thousand healthcare practices. He unpacks the real-world challenges and successes of integrating best-of-breed systems like Epic and Salesforce to create a seamless and empathetic patient journey.

What’s really holding AI back in life sciences?

In this episode, we sit down with Dave Rosner, Partner – Global Life Sciences Customer Engagement Leader, to unpack the realities of AI in pharma beyond the buzzwords. Drawing from decades of experience driving customer engagement strategies, Dave shares what most organizations overlook when it comes to AI, data, and digital transformation.

We explore:

• 🚫 Why AI fails without solving a real business problem

• 🔄 How shifting from dashboards to decisions drives better outcomes

• 🧠 The cultural and operational blockers that stall innovation

• 📉 Why personalization efforts fall flat—and how to fix them

If you're working in pharma, biotech, or health tech, this conversation cuts through the noise with practical takeaways.

🎧 Listen now and get honest about what it takes to make AI stick.

Spotify

Apple Podcasts

Chapters

00:00 Navigating AI in Life Sciences

06:45 AI's Impact on Workforce Dynamics

11:48 Bridging the Data Readiness Gap

16:18 Evaluating ROI in AI Investments

19:38 Governance and Experimentation in AI

22:45 Innovative AI Use Cases in Pharma

27:37 Strategizing AI Implementation

What does the future of AI in life sciences really look like—beyond the hype?

In this episode of the AI Trailblazers Podcast, we sit down with Frank Defesche, SVP & GM of Health & Life Sciences at Salesforce, to unpack the seismic shifts happening at the intersection of AI, pharma, CRM, and compliance.

Frank shares insights from decades of leadership—from helping build Veeva, to leading Salesforce's Life Sciences strategy today. We explore how AI agents are transforming engagement models, what life sciences companies can learn from the Takeda partnership, and why now is the moment to rethink the entire CRM experience.

🔥 In this episode:

• Why the “tolerated” CRM is dead—and what’s replacing it

• The real use cases for AI agents in pharma and biotech

• What industry needs to unlearn before innovation can scale

• How Salesforce is pushing past forms and fields to build trusted, intelligent systems people actually want to use

Whether you’re in commercial operations, medical affairs, or data strategy—Frank offers a front-row seat to how AI is changing the game.

Chapters

00:00 Introduction to Life Sciences Cloud and AI Innovations

03:00 Ensuring Compliance in Life Sciences with AI

05:40 The Importance of Data Quality in AI Applications

08:19 Partnerships and Customer-Centric Innovations

10:37 The Role of the Partner Network in Life Sciences

15:27 Future Disruptions in Life Sciences through AI

19:10 Listening to Customer Needs in Life Sciences

21:28 Conclusion and Future Outlook

In this episode of the AI Trailblazers Podcast, we’re joined by Updesh Dosanjh, Global Lead for Pharmacovigilance Technology Solutions at IQVIA, to explore how artificial intelligence is transforming drug safety at a global scale.

Updesh shares why traditional pharmacovigilance (PV) methods simply can’t keep up with today’s data volume—and how generative AI, automation, and platform thinking are helping PV teams shift from reactive to proactive safety management.

🔍 What you’ll learn in this episode:
✅ Why AI is no longer optional in pharmacovigilance
✅ How GenAI is streamlining signal detection and case processing
✅ Why scaling PV isn’t about hiring more—it’s about thinking differently
✅ The biggest mistake teams make when starting their AI journey
✅ Why platforms (not point solutions) are the future of safety innovation

Whether you're in drug safety, regulatory affairs, or digital transformation, this conversation is packed with real-world insights and bold thinking from one of the industry's leaders.

In this episode, we sit down with Andy Chang, Chief Marketing Officer at UChicago Medicine, to explore how one of the nation’s leading academic health systems is preparing its teams for an AI-driven future.

Andy shares how UChicago Medicine is embracing AI and automation to modernize patient engagement, marketing, and growth strategies—while making sure its people stay at the center of the transformation.

In this episode, you’ll learn:

• Why reskilling in AI and data literacy is critical for healthcare teams
• How UChicago Medicine is moving beyond outdated tools like fax and CD-ROMs
• Why cultural change—not just technology—is key to AI success
• How AI is helping shift healthcare from a cost-driven to a growth-driven mindset

If you’re leading or navigating digital transformation in healthcare, this is a masterclass in what it really takes to future-proof your organization and your people.

Tune in now to hear how Andy and his team are shaping the future of healthcare, one skill at a time.

Links:

• Andy Chang on LinkedIn: https://www.linkedin.com/in/andrew-chang-055216/
• UChicago Medicine: https://www.uchicagomedicine.org/

Chapters

00:00 Introduction to AI in Healthcare

03:43 Andy Chang's Journey to UChicago Medicine

06:55 Elevate 2035: Strategic Vision for Growth

09:47 The Role of AI in Transforming Healthcare

12:54 Addressing Technical Debt in Healthcare

15:54 Cultural Change and Innovation in Healthcare

18:35 Empowering Teams for Future Growth

22:04 The Importance of Continuous Learning

24:50 AI as a Tool for Efficiency and Quality

27:44 Conclusion and Future Outlook