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Data Science Leaders

Domino Data Lab

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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, Dr. Kjell Carlsson, for Season 2 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 u ...
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Enter the realm where creativity and analytics converge, giving rise to a cutting-edge webcast, ’Marketing: Art and Science.’ This isn’t your typical business discourse; it’s an exploration of the fusion of artistry and science that defines modern marketing. Hosted by Lisa Martin, this captivating show features conversations with the industry’s top-tier CMOs and SVPs of B2B and B2C Marketing that explore customer conversion, revenue growth and innovative marketing strategies. Join Lisa as sh ...
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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 a…
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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 Offic…
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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…
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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 depl…
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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 frame…
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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 s…
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In this episode I sit down with the dynamic CMO of Snowflake, Denise Persson, to dissect how her nearly 30-year marketing expertise has led her to running marketing for one of the world's most valuable companies. Denise strongly advocates for an outside-looking-in perspective, ensuring that the voices of her company's customers are the top priority…
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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 …
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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 …
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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 Fede…
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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 peo…
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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 Strate…
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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 discus…
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Please welcome Pure Storage CMO Lynn Lucas to this week's episode of Marketing: Art & Science. Lynn talks with CMO Advisor Lisa Martin about navigating to the C-suite after studying electrical engineering and breaking into technical marketing. She shares how Pure Storage is leveraging data science and generative AI to achieve significant efficiency…
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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…
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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…
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Art & Science, CMO Advisor Lisa Martin talks with the EMEA CMO of UiPath, Evanna Kearins. Tune in to hear Evanna share how she leveraged her journalism background to excel in B2B marketing, what the blend of artistry and science in UiPath marketing looks like and delivers, and how the MarTech stack is influencing the UiPath brand.…
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OSI Digital VP of Marketing Karen Dosanjh joins CMO Advisor and host Lisa Martin on this episode of "Marketing: Art & Science." Karen, who was recently honored as one of BC Business magazine's "Women of the Year" in the entrepreneurial leader category, shares how MarTech, communications, and relationships helped her transform OSI Consulting into OS…
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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 protect…
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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…
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Lisa Martin shares her insights on modern MarTech with Thomas Been, CMO of Domino Data Lab. They unveil the essence of modern marketing, discuss understanding audience motivations (the art) and how to swiftly address customer needs (the science).By [email protected]
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Lisa Martin, CMO Advisor at The Futurum Group and Ash Parikh, CMO of Trellix, talk about the evolution of the B2B CMO’s role and the customer journey, as well as the influence that technology, art, and science have on marketing management styles.By [email protected]
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The latest episode of "Marketing: Art & Science" features the CMO of NetApp, Gabie Boko. In this great conversation, Gabie shares with us her background, double clicks on what stakeholders want from B2B marketing leaders, how she's using data to pull the levers of art and science in marketing, and how NetApp marketing is leaning into generative AI.…
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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 id…
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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 crea…
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CMO Jennifer Johnson (JJ) of Crowdstrike joins CMO Advisor and Host Lisa Martin on this episode of "Marketing: Art & Science" to discuss her ascent to the level of the CMO and the MarTech stack she and her team of 300 have implemented at Crowdstrike in the last 18 months. JJ talks about leaning into generative AI and shares some amazing metrics on …
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How do you deliver impact with AI and ML and cut development time by weeks and even months? By understanding your customer, building trust, and managing risk. Done well, effective and responsible AI practices can be the secret to faster implementation, adoption, and performance at lower cost and risk. In this episode with Dr. Alex Manasson, Data Sc…
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How do you deliver value with responsible AI, who is responsible for it, how do you put it into practice, and could we use AI to make our organizations more ethical? This episode comes to you from the RevX conference in London, where we asked these questions of Chris Wiggins, Chief Data Scientist at the New York Times. He is also Professor of Appli…
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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…
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How do you enable AI, data science and analytics on petabyte-scale data, with extremely stringent privacy and security requirements? This episode comes to you from the RevX-New York conference where we had a fireside chat with Ivan Black - Director in charge of ML, AI, and analytics platforms at the US financial services regulator FINRA. Join us as…
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How do you craft and implement a strategy to transform an organization with AI? Not just to build a growing portfolio of successful AI projects, but to fundamentally re-engineer the organization’s core processes, to radically increase productivity, to overhaul the company’s tech stack, and to prepare it for a future of AI-driven competition. In thi…
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AI leaders. Why do we need them? How do you become one? And above all, how do you keep your job as one? In this episode, we are joined by guest speaker Mike Gualtieri, VP and Principal Analyst at Forrester, and we unpack the opportunities, pitfalls, and best practices of the AI leader role. He shares the pivotal role of AI leaders in catalyzing org…
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GenAI is evolving at a breakneck pace, matched only by the startups that are looking to commercialize it. So what better way to understand the latest GenAI trends than to ask a venture capitalist specializing in AI? In this episode, we speak with James Cham, partner at Bloomberg Beta, about the state of GenAI – where it is delivering value today – …
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A human being consists of billions of cells, each with the same genetic code but interacting in a myriad ways that can eventually translate into disease. Understanding and treating that disease is, in essence, a data problem. But how do you unlock that data and how do you change an organization to systematically use that data to improve decision-ma…
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Trip planning may well be the perfect AI use case. Too much information, too many combinations, and too little time —for humans, but not for Tripadvisor’s AI Trips. In this episode Rahul Todkar, VP Head of Data and AI, shares the secrets to building a trusted GenAI solution at internet scale and discusses the similarities and differences between da…
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Wouldn’t it be great if there was a commonly agreed-upon framework for executing all AI projects successfully? Well, there isn’t one. However, there is CRISP-DM, the antediluvian “Cross-Industry Standard Process for Data Mining”, but you need to expand, modernize and adapt this framework for success at your organization. In this episode from the ar…
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What’s just as important as the government keeping us safe from AI? Government leveraging AI to keep us safe! In this episode, we interview Joel Meyer – former head of strategy at the Department of Homeland Security (DHS) and the person who drove the creation of the DHS AI Task Force. Joel shares how they identified key areas where they could apply…
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There is no such thing as an AI drug, but AI and ML-models are driving the next wave of new treatments. In this episode, Brandon Allgood, Chief Data Officer at FogPharma and serial entrepreneur at the intersection of ML and Biopharma, shares his insights on how AI is disrupting the traditional process of drug discovery and development. Join us as w…
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What’s the biggest problem in AI today? It’s that far too few projects make it to deployment. In this episode, Eric Siegel, founder of the long-running Machine Learning Week conference and creator of the first (and perhaps only) ML music video, tells us about his new book, The AI Playbook and the bizML framework for aligning stakeholders and maximi…
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The biggest challenges to driving impact with AI have little to do with AI and everything to do with humans. Nowhere is this greater than with GenAI where myths and misconceptions abound as to how organizations should be designing, developing and operationalizing GenAI-based applications. In this episode with Rowan Curran, industry analyst at Forre…
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Imagine Generative AI handling tens of thousands of conversations with your customers daily. Science fiction? Not at Bolt where this has been in production since the summer of 2023. In this episode, Mikhail Korolev – head of the data science team at Bolt’s food delivery service – shares the challenges and hard earned best practices for operationali…
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2023 has been an exciting year for AI, but it’s nothing in comparison to what we will see in 2024! Expect to see sensational successes amid the debris of projects that were set up for failure, a flowering of predictive AI, and the emergence of the scariest thing in AI to date (EU regulation). Tune in to this episode where Dr. Kjell Carlsson shares …
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ChatGPT wasn’t the beginning of generative AI, but it did spark the GenAI revolution. Now, one year since it was launched, how much progress have we made, what impact is GenAI delivering, what are the real risks, and what developments are just around the corner? Join this session with the titan of the data science community, Anaconda CEO Peter Wang…
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How do you achieve success as a Chief Data Officer? It is a role that is more important, yet more challenging, than it has ever been, with a rapidly expanding set of expectations from stakeholders in every part of the business. Here to help us understand the CDO role, its evolution, and the keys to success is Gary Barr, Global Chief Data Officer at…
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