Data Science Conversations
Damien Deighan and Philipp Diesinger
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Recent Episodes
Understanding Cause and Effect: Is Causal Discovery The Missing Layer in Artificial Intelligence?
Michael Haft, founder of xplain Data, discusses causal discovery and causal AI, explaining how understanding cause-and-effect relationships goes beyond predictive modeling to enable truly intelligent…
Predicting the Next Financial Crisis: The 18-Year Cycle Peak and the Bursting of the AI Investment Bubble
In this episode, we had the privilege of speaking with Akhil Patel, a globally recognized expert in economic cycles, discusses the 18-year boom-bust pattern and warns that we're approaching the peak…
"Insuring Non-Determinism”: How Munich RE is Managing AI's Probabilistic Risks
Peter Bärnreuther from Munich RE discusses the emerging field of AI insurance, explaining how companies can manage the inherent risks of probabilistic AI systems through specialized insurance…
How AI is Transforming Data Analytics and Visualisation in the Enterprise
Chris Parmer (Chief Product Officer & Co-Founder, Plotly) and Domenic Ravita (VP of Marketing, Plotly) discuss the evolution of AI-powered data analytics and how natural language interfaces are…
Enterprise Data Architecture in The Age of AI - How To Balance Flexibility, Control and Business Value
In this episode, we had the privilege of speaking with Nikhil Srinidhi from Rewire.Nikhil helps large organizations tackle complex business challenges by building high-performing teams focused on…
Key Principles For Scaling AI In Enterprise: Leadership Lessons With Walid Mehanna
In this episode, we had the privilege of speaking with Walid Mehanna, Chief Data and AI Officer at Merck Group. Walid shares deep insights into how large, complex organizations can scale data and AI…
Maximising the Impact of Your Data & AI Consulting Projects
In our latest episode of the Data Science Conversations Podcast, we spoke with Christoph Sporleder, Managing Partner at Rewire, about the evolving role of consulting in the data and AI space.This…
KP Reddy: How AI is Reshaping Startup Dynamics and VC Strategies
KP Reddy, founder and managing partner of Shadow Ventures, explains how AI is set to redefine the startup landscape and the venture capital model. KP shares his unique perspective on the rapidly…
The Evolution of GenAI: From GANs to Multi-Agent Systems
Early Interest in Generative AIMartin's initial exposure to Generative AI in 2016 through a conference talk in Milano, Italy, and his early work with Generative Adversarial Networks…
Future AI Trends: Strategy, Hardware and AI Security at Intel
In this episode, we sit down with Steve Orrin, Federal Chief Technology Officer at Intel Corporation. Steve shares his extensive experience and insights on the transformative power of AI and its…
Enhancing GenAI with Knowledge Graphs: A Deep Dive with Kirk Marple
In this episode we talk to Kirk Marple about the power of Knowledge Graphs when combined with GenAI models. Kirk explained the growing relevance of knowledge graphs in the AI era, the practical…
Using Open Source LLMs in Language for Grammatical Error Correction (GEC)
At LanguageTool, Bartmoss St Clair (Head of AI) is pioneering the use of Large Language Models (LLMs) for grammatical error correction (GEC), moving away from the tool's initial non-AI approach to…
The Path to Responsible AI with Julia Stoyanovich of NYU
In this enlightening episode, Dr. Julia Stoyanovich delves into the world of responsible AI, exploring the ethical, societal, and technological implications of AI systems. She underscores the…
Transforming Freight Logistics with AI and Machine Learning
Luis Moreira-Matias is Senior Director of Artificial Intelligence at sennder, Europe’s leading digital freight forwarder. At sennder, Luis founded sennAI: sennder’s organization that oversees the…
The future of LLMs, ELMs and the semantic layer
In this episode Tarush Aggarwal, formerly of Salesforce and WeWork is back on the podcast to discuss the evolution of the Semantic layer and how that can help practitioners get results from LLMs. We…
Data Strategy Evolved: How the Biological Model fuels enterprise data performance
In this episode Patrick McQuillan shares his innovative Biological Model - a concept you can use to enhance data outcome in large enterprises. The concept takes the idea that the best way to design…
Mapping forests: Verifying carbon offsetting with machine learning
In this episode Heidi Hurst returns to talk to us about how in her current role at Pachama she is using the power of machine learning to fight climate change. She discusses her work in measuring the…
How Science is (mis)communicated in Online Media
Ágnes Horvát is an Assistant Professor in Communication and Computer Science at Northwestern University. Her work focuses on understanding how online networks induce biased information production,…
How Observability is Advancing Data Reliability and Data Quality
Modern Data Infrastructures and platforms store huge amounts of multidimensional data. But - data pipelines frequently break and a machine learning algorithm's performance is only as good as the…
The Pitfalls of Using AI Systems for Hiring
In this episode we are joined by Julia Stoyanovich from NYU, to talk about her work into how AI is being used in the hiring process.Whether you are responsible for hiring on behalf of a business or…
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Data Science Conversations has published 33 episodes since September 2020, covering topics in Business, Science.
Data Science Conversations is currently active with new episodes every 2 months. Average episode length is 44m.
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