10 APR 2024 · 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 https://www.linkedin.com/in/jcham/, partner at https://www.bloombergbeta.com/, about the state of GenAI – where it is delivering value today – and the challenges preventing firms from moving from incremental GenAI-driven productivity gains, to truly disruptive GenAI use cases. Along the way, we cover the problem of treating GenAI like software development, the rapidly changing economics of GenAI, and the key to success with all types of AI which is – as always – understanding people.  Join us as we discuss: - The cultural challenges preventing companies from unlocking the disruptive potential of GenAI - Why developers don’t get data-powered applications (and why data scientists need product thinking)  - How GenAI can change our engagement with technology (by killing the GUI)

27 MAR 2024 · 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-making and accelerate drug discovery?  In this episode, we speak with https://www.linkedin.com/in/volodimir-olexiouk/, Director of Scientific Engagement and Data Science Team Lead at https://lizard.bio/home, about best practices for overcoming the data challenges for AI-driven drug discovery and combining scientific expertise with data science for augmented intelligence in the life sciences.  Join us as we discuss: - The challenges in discerning correlation from causation and integrating domain expertise - How bridging expertise gaps and merging data silos in pharmaceutical companies radically improves drug-discovery processes  - The promise AI holds for swifter and more effective responses to future pandemics

13 MAR 2024 · 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 https://www.tripadvisor.com/ AI Trips. In this episode https://www.linkedin.com/in/rahultodkar/, 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 data leadership roles at digitally native companies and more traditional enterprises. Join us as we discuss: - How to use GenAI to unlock first party data - The ideal GenAI development team - The evolving role of data and AI leaders

28 FEB 2024 · 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 archive, Dave Cole interviews https://www.linkedin.com/in/david-von-dollen/, former Head of AI at Volkswagen of America, about how they integrated CRISP-DM into an Agile process to drive more rapid iteration and, ultimately, more successful AI projects.

19 FEB 2024 · 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 https://www.linkedin.com/in/joeltmeyer/ – 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 AI to improve national safety and security, such as combating fentanyl and child sexual exploitation and abuse, and the steps that the federal government is taking to build AI capabilities across the public sector. Join us as we discuss: - Key areas where US government agencies are looking to leverage AI to improve mission effectiveness - The people, process, and technology steps that government agencies are implementing to scale AI and how they apply to the private sector - The importance and value of Responsible AI in public sector use cases and beyond

14 FEB 2024 · 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, https://www.linkedin.com/in/brandonallgood/, Chief Data Officer at https://fogpharma.com/ 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 we discuss: - Why AI is so powerful for drug discovery - What data science needs to learn from engineering - How drug discovery processes need to be rebuilt with AI models at their core

31 JAN 2024 · What’s the biggest problem in AI today? It’s that far too few projects make it to deployment. In this episode, https://www.linkedin.com/in/predictiveanalytics/, founder of the long-running https://machinelearningweek.com/ conference and creator of the first (and perhaps only) https://youtu.be/bSP3z0LmWEg?feature=shared, tells us about his new book, https://www.machinelearningkeynote.com/the-ai-playbook and the bizML framework for aligning stakeholders and maximizing the chance for deployment and impact. Join us as we discuss: - Causes behind the high rates of AI project failure - Critical project steps for ensuring deployment - Humor as a means to bridge the gap in AI understanding And check out: - https://www.machinelearningkeynote.com/the-ai-playbook - The entire https://youtu.be/bSP3z0LmWEg?feature=shared music video. You won’t regret it. - https://machinelearningweek.com/ June 4-7, 2024

20 JAN 2024 · 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 https://www.linkedin.com/in/rowan-curran-33071618/, industry analyst at https://www.forrester.com/bold?utm_source=linkedin&utm_medium=social, we debunk the most harmful myths and discuss how AI teams are shattering these myths and delivering transformative outcomes. Join us as we discuss: - The role of data scientists and ML engineers in GenAI projects - Successful approaches to prompt engineering - The linkages between MLOps and LLMOps

3 JAN 2024 · Imagine Generative AI handling tens of thousands of conversations with your customers daily. Science fiction? Not at https://bolt.eu/en/careers/ where this has been in production since the summer of 2023. In this episode, https://www.linkedin.com/in/m-korolev/ – head of the data science team at Bolt’s food delivery service – shares the challenges and hard earned best practices for operationalizing a GenAI application that dramatically lowers cost while also increasing customer satisfaction. Join us as we discuss: - How to leverage GenAI to automate customer service conversations - How to manage inconsistency and mitigate risk in GenAI apps - How to protect sensitive data and comply with regulatory requirements with GenAI

20 DEC 2023 · 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 his top predictions for AI in 2024 and get ready for a year of scandal, fraud, plummeting processor prices, and ascendant AI leaders. Also, goodbye quantum computing! Happy holidays from all of us at Domino Data Lab and the Data Science Leaders podcast.