Data Science Leaders

What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years.

To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.  
Join us as we discuss:

• The pressure to shift from experimentation to production
• Breaking down the data, infrastructure and organizational silos
• Best practices for tackling governance, security and cost challenges
• Examples of AI efficiency gains in healthcare, pharma, and beyond

AI is transforming financial services and insurance, but rarely in the headline-grabbing ways you might expect. From intelligent process automation to fraud detection and risk management, AI is being embedded across operations, but as AI adoption grows, so do the challenges—cybercrime, rapid technological changes, and ever-evolving regulatory frameworks.

In this episode we sit down with Adam Gale, Field CTO for AI & Cyber Security at NetApp, and Mike Upchurch, VP of Strategy for Financial Services and Insurance at Domino, to explore:

• The "silent revolution" of AI in finance
• Unlocking the potential of unstructured data
• AI governance for innovation and regulatory compliance
• Strategies for driving AI adoption
• Top predictions for AI in 2025 in FSI

AI is transforming drug discovery and clinical trials, making what was once cutting-edge the new standard. Pharma companies are evolving into tech companies, leveraging AI to revolutionize every phase of drug development.

In this episode, Chris McSpiritt, VP of Life Sciences Strategy at Domino, discusses how AI is no longer a niche capability for select firms but an essential capability for all biopharma organizations. We explore AI-based digital organisms, the increasing reliance on AI in clinical trials, and the shift toward personalized medicine.

Join us as we dive into:

• How AI will drive the majority of new drug discoveries
• The role of AI in clinical trials
• The growing need for pharma companies to adopt a tech company mindset
• The impact of AI-driven automation on regulatory compliance and reporting

What’s next for artificial intelligence in 2025? In this episode, Dr. Kjell Carlsson delivers his annual predictions about the immediate future of AI. From AI becoming the universal corporate scapegoat to the rebranding of generative AI as "agentic AI.” Discover why commercial AI solutions remain scarce, the pivotal role of workforce upskilling in achieving transformative AI outcomes, and how governance is shifting from regulation-focused to impact-driven.

Want to see how Kjell fared in his 2024 predictions? Look no further than Data Science Leaders podcast Episode 62: AI in 2024: Predictions on the Future of the AI Revolution.

Innovation and AI governance aren’t at odds. Done properly, governance practices can be the key to accelerating implementation of even the latest GenAI use cases. In this interview from RevX London with Raj Mukherjee, Head of Data Science and AI at Direct Line Group, we find out how they embraced the principles of a lean startup, adopted a product mindset and became the first major insurance company to implement a GenAI solution to accelerate customer service. Come find out how they were able to overcome the challenges of legacy infrastructure, build trust and do the seemingly impossible — make compliance fun.

How can organizations drive transformative AI innovation while effectively managing its inherent risks? Is governance a bottleneck or can it become a catalyst for AI success?
In this webinar, we explore the critical role of AI governance with Brandon Purcell, VP Principal Analyst at Forrester Research, and Theo Linnemann, Data Scientist at the Federal Reserve Bank of New York. Together, they share actionable insights into the principles, practices, and policies necessary for ensuring the safe use of AI that drives real-world impact.

Join us as we discuss:

• The evolution of AI governance and why it has become a top priority for AI teams
• Frameworks and practices for identifying and managing AI risk 
• The growing importance of automation for effective governance
• Fairness, business, and other metrics for AI governance
• How to govern an Agentic AI future 

This episode is a collaboration with the Ethical Machines podcast featuring Reid Blackman — CEO of the AI ethical risk consultancy Virtue — and Nick Elprin, cofounder and CEO of Domino Data Lab.

Join us as they discuss:

• The differences between AI ethics and AI governance
• How the AI governance challenges have changed (and where they haven’t)
• The people, process and technology solutions for genAI governance (and how they are all intertwined)
• Predictions about AI maturity, slip ups and regulation

Think you have a hard time driving AI adoption in your organization? Try driving AI transformation in the largest, most regulated organization on the planet – the Pentagon. 

In this episode, we sit down with Dr. Chris Kirchhoff – co-author of Unit X: How the Pentagon and Silicon Valley are Transforming the Future of War and former Director of Strategic Planning for the National Security Council – to uncover how the Department of Defense is accelerating the adoption of AI. Dr. Kirchhoff shares invaluable lessons on managing disruption and fostering innovation at scale.
Join us as we discuss:

• How leadership and experimentation drove the success of the Defense Innovation Unit
• The importance of developing new frameworks for procurement for AI adoption
• Insights from modern warfare: drone technology and the shift to consumer-driven innovation
• Best practices for scaling technological transformation across any large organization

The EU AI Act, is it the first step towards comprehensive AI regulation that will make us all safer, or is it the scariest thing in AI today, or both?

In this episode we speak with Adam Gale, Field CTO for AI and Regulatory Compliance at NetApp, to demystify the EU AI act and discuss future-proof strategies to ensure compliance.Join us as we discuss:

• The core requirements of the act and how they impact your use cases
• Gray areas to look out for in the act
• Compliance with existing regulations such as DORA and GDPR
• Core governance capabilities that enable compliance for the EU AI act and future regulation

AI governance is no longer a hypothetical consideration—it's critical not only to meet regulatory requirements but also to build trust, drive adoption, and deliver tangible impact with AI. In this episode, we bring together experts Jared Vaudrey and Dr. Dylan Bobby Storey, who have spent years developing AI solutions in heavily regulated industries. They share their hard-won insights on the realities of implementing AI governance across a wide range of organizations and use cases.

Join us as we discuss:

• The value of AI governance for driving adoption and innovation
• How governance principles apply to traditional ML and genAI
• The common challenges of governance 
• Real-world examples and best practices from advanced teams integrating AI governance
• How automation helps scale governance and provide the flexibility to support future regulation