Data Science Leaders – Details, episodes & analysis

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Data Science Leaders

Data Science Leaders

Domino Data Lab

Business
Business
Science

Frequency: 1 episode/15d. Total Eps: 98

Spreaker
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 unique insights—to help you build your own model for enterprise data science success.
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Apple Podcasts

  • 🇫🇷 France - management

    30/03/2026
    #83
  • 🇫🇷 France - management

    29/03/2026
    #63
  • 🇫🇷 France - management

    28/03/2026
    #42
  • 🇨🇦 Canada - management

    30/12/2025
    #97
  • 🇨🇦 Canada - management

    29/12/2025
    #55
  • 🇬🇧 Great Britain - management

    20/09/2025
    #72
  • 🇬🇧 Great Britain - management

    19/09/2025
    #44
  • 🇬🇧 Great Britain - management

    18/09/2025
    #58
  • 🇫🇷 France - management

    27/05/2025
    #93
  • 🇫🇷 France - management

    26/05/2025
    #81

Spotify

    No recent rankings available



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RSS feed quality
Good

Score global : 79%


Publication history

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Optimizing Your Architecture for AI Innovation: BARC Survey Results

Episode 80

mercredi 4 septembre 2024Duration 46:32

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.

Driving Digital Strategy with AI at OneAmerica

Episode 79

mercredi 21 août 2024Duration 45:27

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.

Overcoming the Data Challenges of AI-driven Drug Discovery

Episode 70

mercredi 27 mars 2024Duration 36:50

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 Volodimir Olexiouk, Director of Scientific Engagement and Data Science Team Lead at BioLizard, 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

AI Will Plan Your Next Vacation: GenAI at Tripadvisor

Episode 69

mercredi 13 mars 2024Duration 30:12

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 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

From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle

Episode 68

mercredi 28 février 2024Duration 23:35

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 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.

Unlocking AI in the Public Sector

lundi 19 février 2024Duration 30:59

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 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

Disrupting Drug Discovery and Development With AI

Episode 66

mercredi 14 février 2024Duration 38:13

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 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

Mastering the Rare Art of ML Deployment

Episode 65

mercredi 31 janvier 2024Duration 35:36

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 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:

Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran

Episode 64

samedi 20 janvier 2024Duration 41:42

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 Forrester Research, 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

More Human Than Human? GenAI Customer Service at Bolt

Episode 63

mercredi 3 janvier 2024Duration 28:11

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 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

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