Data Science Leaders – Détails, épisodes et analyse

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Data Science Leaders

Domino Data Lab

Business & Entrepreneuriat

Technologie

Sciences

Fréquence : 1 épisode/18j. Total Éps: 98

Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Thomas Been, as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights to help you build your own model for enterprise data science success.

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The Rise of the Self-Driving Organization

Épisode 95

mercredi 16 avril 2025 • Durée 35:26

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

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The Cultural Shifts That Power AI Adoption

Épisode 94

mercredi 2 avril 2025 • Durée 47:24

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

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AI Transformation in Government: Lessons from Unit X

Épisode 85

mercredi 27 novembre 2024 • Durée 36:45

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

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The EU AI Act: Key Strategies for Regulatory Compliance

Épisode 84

mercredi 13 novembre 2024 • Durée 46:32

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

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AI Governance in Action: Lessons from the Trenches

Épisode 83

vendredi 25 octobre 2024 • Durée 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

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Demystifying the Top 5 Questions of AI Governance

Épisode 82

jeudi 3 octobre 2024 • Durée 21:20

AI governance is more important than ever, but confusion reigns about basic questions such as: what it is, why it is important and what we should do about it. As an AI, data science, or business leader, you need to dispel these governance misconceptions in order to manage AI risk and ensure the safety and reliability necessary to drive adoption and impact. The ability of your organization to drive impact with AI, and potentially your career, depends on it.

Join us as host Kjell Carlsson, gives an opinionated take on the basic questions of AI governance:

Why you should care about AI governance (and why it goes beyond ethics and regulation)
What AI governance is (and how it differs from ethical AI, responsible AI, and trustworthy AI)
Why AI governance is difficult (and the gap between frameworks and practices)
What AI governance looks like in practice (across the AI/ML lifecycle)
What we need for AI governance (and the capabilities to do it at scale)

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Operationalizing privacy in the age of AI

Épisode 81

mercredi 18 septembre 2024 • Durée 42:49

Data privacy - why is it so important in the age of AI, why is it so difficult, and what should we be doing to improve it in our organizations?

In this episode we speak with Dr. Rebecca Balebako, privacy engineer and Chief Privacy Officer at Lotic.ai, about why AI makes privacy more important than ever, the common misconceptions around data protection, who should own privacy, and the benefits and limitations of privacy enhancing technologies (PETs).

Join us as we discuss:

The value of privacy (~5% of annual profit)
The many definitions of privacy.
The top 3 misconceptions: no one cares, it can be fixed with a privacy policy, and privacy is a blocker.
Who should own privacy in your organization.
PETs vs. data hygiene

For more on Rebecca’s consulting on privacy strategy, coaching and how to build a privacy advocate team see https://www.privacyengineer.ch/ and for more on privacy methods check out the book “Practical Data Privacy” by Katharine Jarmul.

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Optimizing Your Architecture for AI Innovation: BARC Survey Results

Épisode 80

mercredi 4 septembre 2024 • Durée 47:03

What capabilities do you need to take advantage of AI and what changes will you need to make to your IT architecture? Well, let’s look at the data.

In this episode, Shawn Rogers, CEO and Fellow at BARC US, shares the results of their survey on how enterprises are optimizing their architecture for AI innovation. Shawn unpacks data on everything from the biggest obstacles to delivering AI impact to how companies are sourcing their AI capabilities.

Join us as we discuss:

The AI talent gap and the strategies that firms are using to close it
The myriad AI capabilities that high-readiness firms are implementing
The need to manage AI costs upfront to ensure deployment
The perpetual question of build vs. buy (or both!)
The crucial need for AI governance to ensure approval and adoption

Download the full report here.

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Driving Digital Strategy with AI at OneAmerica

Épisode 79

mercredi 21 août 2024 • Durée 45:59

How do you drive digital strategy and transformation with AI? Do you need an AI strategy or a business strategy that intelligently leverages AI?

In this episode, we delve into the challenge of driving transformation with AI in insurance with Fu'ad Butt, VP Head of Digital Strategy and Automation at OneAmerica. Fu’ad shares his best practices for identifying and executing AI projects. These range from how to identify the most promising use cases (hint: focus on augmented intelligence, but tie it to business value) to executing them successfully (build a test and learn process, and use multifunctional pods).

Join us as we discuss:

The role of AI in digital strategy today.
Overcoming the challenge of aligning AI to business value.
Experimenting efficiently with digital twins and a contrarian in the loop.
Breaking hierarchies with multifunctional pods for faster impact.

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AI-driven Marketing, Optimization, Consciousness and CAIOs

Épisode 78

mercredi 7 août 2024 • Durée 47:43

AI is disrupting marketing, but the biggest threat isn’t AI systems misbehaving, it is the unintended consequences of AI systems performing exactly what they were intended to do.

In this interview with Dr. Daniel Hulme, Chief AI Officer at WPP and CEO of Satalia, we discuss the ways that AI is transforming marketing – from accelerating content creation and maximizing activation to exploring the creative landscape and creating “brains” that ensure it is responsible and legal. Also, tune in for fascinating discussions of AI consciousness and what it means to be a Chief AI Officer.

Join us as we discuss:

The greatest GenAI opportunities in marketing and beyond
How to maximize AI impact with decision optimization
Responsible AI and the challenges of AI systems going very right
The emerging field of AI consciousness
The Chief AI Officer: why you need one and the prerequisites for success

For more information about the new research organization focused on AI consciousness co-founded by Daniel Hulme see conscium.com and his interview on the London Futurists Podcast.

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Data Science Leaders – Détails, épisodes et analyse

Détails du podcast

Classements récents

Apple Podcasts

Spotify

Liens partagés entre épisodes et podcasts

LinkedIn49

Qualité et score du flux RSS

Historique des publications

Derniers épisodes publiés

Podcasts et contenus similaires

Podcasts Similaires Basées sur le Contenu

Apple Podcasts

Spotify

Podcasts Similaires Basées sur le Contenu

LinkedIn49

Other42

Amazon3