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Demystifying the Top 5 Questions of AI Governance
Manage episode 443326229 series 3279398
תוכן מסופק על ידי Domino Data Lab. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Domino Data Lab או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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:
…
continue reading
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)
96 פרקים
Manage episode 443326229 series 3279398
תוכן מסופק על ידי Domino Data Lab. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Domino Data Lab או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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:
…
continue reading
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)
96 פרקים
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1 The Rise of the Self-Driving Organization 34:54
34:54
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אהבתי34:54
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
46:52
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אהבתי46:52
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
45:30
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אהבתי45:30
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
41:29
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אהבתי41:29
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
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אהבתי29:47
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
31:42
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אהבתי31:42
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
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אהבתי11:43
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
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אהבתי30:13
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
49:17
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אהבתי49:17
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
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אהבתי46:07
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
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אהבתי36:13
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
46:00
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אהבתי46:00
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
38:46
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אהבתי38:46
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
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אהבתי20:48
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)…

1 Operationalizing privacy in the age of AI 42:17
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אהבתי42:17
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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