Data Science Leaders
Domino Data Lab
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.
Categorias: Tecnología
Escuchar el último episodio:
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 – 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)
Episodios anteriores
-
72 - Unlocking the Disruptive Potential of Generative AI: A VC Perspective Wed, 10 Apr 2024
-
71 - Overcoming the Data Challenges of AI-driven Drug Discovery Wed, 27 Mar 2024
-
70 - AI Will Plan Your Next Vacation: GenAI at Tripadvisor Wed, 13 Mar 2024
-
69 - From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle Wed, 28 Feb 2024
-
68 - Unlocking AI in the Public Sector Mon, 19 Feb 2024
-
67 - Disrupting Drug Discovery and Development With AI Wed, 14 Feb 2024
-
66 - Mastering the Rare Art of ML Deployment Wed, 31 Jan 2024
-
65 - Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran Sat, 20 Jan 2024
-
64 - More Human Than Human? GenAI Customer Service at Bolt Wed, 03 Jan 2024
-
63 - AI in 2024: Predictions on the Future of the AI Revolution Wed, 20 Dec 2023
-
62 - The State and Future of Generative AI: Reflections on the Anniversary of ChatGPT with Anaconda CEO Peter Wang Wed, 06 Dec 2023
-
61 - CDOs: Changing the Operating Model for Data & AI Transformation Wed, 22 Nov 2023
-
60 - Transforming Education with Generative AI and Active Learning Wed, 08 Nov 2023
-
59 - “Lessons from the First GenAI Killer App" Wed, 25 Oct 2023
-
58 - Honeywell: Delivering on the Power of Outlier Detection Wed, 11 Oct 2023
-
57 - Making Better Sustainability Decisions with AI Wed, 27 Sep 2023
-
56 - Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions Wed, 13 Sep 2023
-
55 - Solving the AI Talent Gap: Upskilling at Scale at Halliburton Wed, 30 Aug 2023
-
54 - The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute Wed, 16 Aug 2023
-
53 - Get the Most Out of Generative AI Wed, 02 Aug 2023
-
52 - Celebrity Guest Reid Blackman: Who’s Responsible for Responsible AI? Wed, 19 Jul 2023
-
51 - Output to Outcomes: AI Product Management at Verizon Wed, 05 Jul 2023
-
50 - Celebrity Guest Steven Levy: AI, a mirror to human intelligence Wed, 21 Jun 2023
-
49 - Season 2: Host to Host Wed, 07 Jun 2023
-
48 - What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmar Tue, 31 May 2022
-
47 - Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligenc Tue, 12 Apr 2022
-
46 - Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group) Tue, 05 Apr 2022
-
45 - A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America) Tue, 29 Mar 2022
-
44 - Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML, Tue, 22 Mar 2022
-
43 - Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual) Tue, 15 Mar 2022
-
42 - How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC) Tue, 08 Mar 2022
-
41 - Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI) Tue, 01 Mar 2022
-
40 - Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign) Tue, 22 Feb 2022
-
39 - A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia) Tue, 15 Feb 2022
-
38 - Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group Tue, 08 Feb 2022
-
37 - Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem) Tue, 01 Feb 2022
-
36 - Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author) Tue, 25 Jan 2022
-
35 - Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC) Tue, 18 Jan 2022
-
34 - Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs) Tue, 11 Jan 2022
-
33 - Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analyti Tue, 04 Jan 2022
-
32 - Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast) Tue, 14 Dec 2021
-
31 - Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank) Tue, 07 Dec 2021
-
30 - To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive) Tue, 30 Nov 2021
-
29 - How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro) Tue, 16 Nov 2021
-
28 - Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce) Tue, 09 Nov 2021
-
27 - Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier) Tue, 02 Nov 2021
-
26 - How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis) Tue, 26 Oct 2021
-
25 - Why It Pays to Stand Out From the Crowd in Data Science (Bob Bress, Head of Data Science, FreeWheel) Tue, 19 Oct 2021
-
24 - Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson) Tue, 12 Oct 2021
-
23 - How to Launch a Data Science Team Built for Scale (Mike Foley, Senior Director of Data Science, Hitachi Vantara) Tue, 05 Oct 2021