Efficient Data Pipelines for AI and a Healthier World

Data Science Leaders

#Science #MBA #Math #Business #Domino Data Lab

26:28

Squid Game is back—and this time, the knives are out. In the thrilling Season 3 premiere, Player 456 is spiraling and a brutal round of hide-and-seek forces players to kill or be killed. Hosts Phil Yu and Kiera Please break down Gi-hun’s descent into vengeance, Guard 011’s daring betrayal of the Game, and the shocking moment players are forced to choose between murdering their friends… or dying. Then, Carlos Juico and Gavin Ruta from the Jumpers Jump podcast join us to unpack their wild theories for the season. Plus, Phil and Kiera face off in a high-stakes round of “Hot Sweet Potato.” SPOILER ALERT! Make sure you watch Squid Game Season 3 Episode 1 before listening on. Play one last time. IG - @SquidGameNetflix X (f.k.a. Twitter) - @SquidGame Check out more from Phil Yu @angryasianman , Kiera Please @kieraplease and the Jumpers Jump podcast Listen to more from Netflix Podcasts . Squid Game: The Official Podcast is produced by Netflix and The Mash-Up Americans.…

about a year ago 32:58

MP3•Episode home

AI is not all about the data, however, your ability to develop and deploy efficient data pipelines is absolutely critical for unlocking the power of AI at scale. But how do you manage modern data pipelines for AI and how do you deal with fragmented ecosystems and spiraling costs?
In this episode, brought to you from the RevX Philadelphia conference, Richard Swakla, AI/ML Specialist at NetApp, joins us to discuss the current trends and best practices in the life sciences around data and AI.
Join us as we discuss:

The role of AI in enhancing productivity in healthcare and the life sciences, particularly in drug discovery, claims processing and fraud detection.
The growing importance of hybrid cloud solutions to balance cost, efficiency, and infrastructure access.
Challenges in transitioning AI projects from pilots to production due to high costs and rapidly evolving models.

To see all of the sessions at the RevX conferences go to domino.ai/revx.

97 episodes

Efficient Data Pipelines for AI and a Healthier World

Data Science Leaders

18 subscribers

published about a year ago

MP3•Episode home

The role of AI in enhancing productivity in healthcare and the life sciences, particularly in drug discovery, claims processing and fraud detection.
The growing importance of hybrid cloud solutions to balance cost, efficiency, and infrastructure access.
Challenges in transitioning AI projects from pilots to production due to high costs and rapidly evolving models.

To see all of the sessions at the RevX conferences go to domino.ai/revx.

97 episodes

#Science #MBA #Math #Business #Domino Data Lab

All episodes

1
Engineering the Future of Health with AI and Data 32:40

24 days ago32:40

32:40

Daniel Kraft , physician-scientist and founder of NextMed Health , joins Domino’s Chris McSpiritt to discuss how AI, data convergence, and systems thinking are accelerating healthcare’s shift from reactive treatment to proactive, personalized care. With a background spanning regenerative therapies, digital health, and aerospace medicine, Daniel offers a wide-lens view of the challenges and opportunities shaping the next era of clinical innovation. From the limitations of “sick care” to the promise of personalized poly-pills and AI-powered digital twins, this conversation explores how to unlock proactive, personalized, and accessible healthcare at scale. Join us as we discuss: How exponential tech is enabling predictive, preventative care and what’s slowing it down Why “data-to-action” is the next frontier for AI in life sciences What data scientists and tech teams can do now to drive clinical impact Get more of Daniel’s insights at DanielKraftMD.net .…

1
The Rise of the Self-Driving Organization 34:54

12 weeks ago34:54

34:54

As organizations race to become AI-driven, data has emerged not just as a resource, but as a strategic advantage. In this episode, Kjell Carlsson sits down with Doug Laney , author of Infonomics and Data Juice , to explore how generative AI is accelerating the journey toward data monetization and organizational autonomy. Doug shares why traditional approaches to data management no longer suffice, how digital twins and agentic AI are redefining business models, and why the future may belong to self-driving organizations. Tune in to hear: How AI is reshaping the economics of data and enabling new business models Why organizations should embrace agentic AI and digital twins to stay competitive What leaders must do today to build autonomous, AI-native enterprises…

1
The Cultural Shifts That Power AI Adoption 46:52

14 weeks ago46:52

46:52

AI strategy isn't just about technology. It's about transformation. In this episode, CDAO expert, Dr. Shahram Ebadollahi , joins to discuss what it takes to lead AI in an enterprise and why that leadership must go far beyond just selecting the right tools or models. Drawing on his experience building AI teams, Shahram explains why the Chief AI Officer role is one of the most complex, and most critical, positions in modern organizations. Here we talk about the cultural, organizational, and strategic shifts needed to embed AI deeply and responsibly, and how to move from experimentation to value delivery at scale. Whether you're leading AI or supporting it, this conversation offers a clear-eyed view of what success really requires. Tune in to hear: Why the Chief AI Officer must balance tech depth with business vision How to structure teams and incentives for lasting AI success How to move from AI experimentation to real business impact…

1
The AI Race: Predictions for AI in National Security & the Public Sector 45:30

16 weeks ago45:30

45:30

What does the global race for AI look like? How has the US Department of Defense been adopting AI by engaging the private sector? And how should we expect AI policy to shift under the new administration? In this episode – the last in our series on the future of AI – guest host Joel Meyer , President of Public Sector at Domino, sits down with General Jack Shanahan (Ret.) former Director of the Joint Artificial Intelligence Center at the U.S. Department of Defense, and Lauren Bedula , Managing Director at Beacon Global Strategies. Join us as we explore: How the U.S. Department of Defense is accelerating AI adoption The global AI race: U.S., China, and allies AI policy shifts under the new U.S. administration Predictions for AI in the Public Sector for 2025 and beyond Also, hear more of Lauren’s thoughts on national security and tech innovation on the Building the Base podcast.…

1
The Future of Enterprise AI? AI in Production! 41:29

18 weeks ago41:29

41:29

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…

1
The Silent Future of AI in Financial Services 29:47

20 weeks ago29:47

29:47

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…

1
Pharma Is the New Tech: The Future of AI in Life Sciences 31:42

22 weeks ago31:42

31:42

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…

1
AI Predictions for 2025: The Boogeyman, Agentic AI & Governance 11:43

24 weeks ago11:43

11:43

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 .…

1
Realizing AI Value Through Governance in Insurance 30:13

26 weeks ago30:13

30:13

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.…

1
Mastering AI Governance with Forrester & the Federal Reserve 49:17

28 weeks ago49:17

49:17

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…

1
Crossover: Ethical Machines and AI Governance 46:07

30 weeks ago46:07

46:07

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…

1
AI Transformation in Government: Lessons from Unit X 36:13

32 weeks ago36:13

36:13

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…

1
The EU AI Act: Key Strategies for Regulatory Compliance 46:00

34 weeks ago46:00

46:00

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…

1
AI Governance in Action: Lessons from the Trenches 38:46

37 weeks ago38:46

38:46

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…

1
Demystifying the Top 5 Questions of AI Governance 20:48

40 weeks ago20:48