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Data Science Conversations

Damien Deighan and Philipp Diesinger

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Welcome to the Data Science Conversations Podcast hosted by Damien Deighan and Dr Philipp Diesinger. We bring you interesting conversations with the world’s leading Academics working on cutting edge topics with potential for real world impact. We explore how their latest research in Data Science and AI could scale into broader industry applications, so you can expand your knowledge and grow your career. Every 4 or 5 episodes we will feature an industry trailblazer from a strong academic back ...
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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 applications, their integration with LLMs, and the future potential of Graph RAG. Kirk Marple a veteran of Microsoft and General Motors, Kirk has spent the …
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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 create a system capable of catching and correcting errors across multiple languages. LanguageTool supports over 30 languages, has several million users, …
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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 importance of global regulations, human-centric decision-making, and the proactive management of biases and risks associated with AI deployment. Through her e…
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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 creation (from R&D to real-world productization) of proprietary AI technology for the road logistics industry. During his 15 years of career, Luis led 50+…
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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 also discuss how smaller ELMs (expert language models) might be the future when it comes to consistent reliable outputs from Generative AI and also the…
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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 a data strategy is to align it closely with a biological system. He discusses the power of centralized information, importance of data governance, and t…
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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 capacity of existing forests and reforestation projects using satellite imagery. Episode Summary 1. The importance of carbon credits verification in mi…
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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, sharing and processing across digital platforms. - The new Post-normal era for science - Having an awareness of the context and values that impact scient…
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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 quality and reliability of the data itself. In this episode we are joined by Lior Gavish and Ryan Kearns of Monte Carlo, to talk about how the new concept …
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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 are a job seeker, you will find this podcast very interesting, but for very different reasons. Episode Summary Algorithmic decision making in the hirin…
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In this episode we are joined by Professor Maurizio Porfiri from NYU, to talk about his latest academic research which is using data science to uncover why sales of guns in the USA increase after a mass shooting event. His interest and research was borne from a very personal experience 14 years ago when he experienced a mass shooting event at Virgi…
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In this episode we are joined by Perry Marshall to talk about his latest scientific paper entitled “Biology Transcends the Limits of Computation”. We also discuss his $10 million Evolution 2.0 Science Prize, which is the largest prize in the world in science currently. His paper pushes the boundaries in the field of evolutionary biology and his sci…
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In this episode we are joined by Arnon Houri Yafin, an Israeli entrepreneur who is the founder of a company called Zzapp Malaria, which recently won the AI XPRIZE sponsored by IBM Watson. Their work in using AI to eliminate malaria in Africa is both interesting and inspirational. Episode Summary Moving from malaria control to malaria elimination Ho…
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In this episode we are joined by the Director of AI and Data Operations at XPRIZE whose career path into the world of AI is fascinating. Neama Dadkhahnikoo shares his journey from his early days at Boeing back in 2005, through start up ventures, Techspert and Caregivers Direct, and re-training right through to the present day at XPRIZE. He reveals …
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In this episode we are joined by an industry veteran who has worked for some of the biggest names in the enterprise Data world. Tarush Aggarwal shares his journey from his early days at Salesforce and then WeWork, right through to the present day. He reveals how to set Data Science & Engineering up for success in both small and large organisations.…
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In this episode we discuss the rapidly developing field of Satellite Imaging. Our guests on this show are Heidi Hurst & Jerry He. They are two remarkable industry Data Scientists with a strong academic pedigree and experience in the field of Satellite Image Processing. Heidi is based in Washington DC and Jerry is based in New York. Join us as they …
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Every so often on the podcast we will bring you something a little bit different. This episode is part two of our conversation with Esports Legends TLO & MaNa. They are professional Starcraft II players and they tell us the story of what it was like to compete against Google DeepMinds AlphaStar AI agent. This is a fascinating discussion about the t…
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Every so often on the podcast we will bring you something that is a little bit different. This episode is part one of a conversation with Esports Legends TLO & MaNa. They are professional Starcraft II players and they tell us the story of what it was like to compete against Google DeepMinds AlphaStar AI agent. This is a fascinating discussion about…
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This is Part Two of our conversation about Deep Fakes with two experts in their respective fields. We talk to Dr Eileen Culloty of the Institute for Future Media and Journalism at Dublin City University and Dr Stephane Lathuiliere of Telecom Paris. EPISODE SUMMARY: The implications of disinformation on the media The role of fact checking How to dea…
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This is Part one of our conversation about Deep Fakes with two experts in their respective fields. We talk to Dr Eileen Culloty of the Institute for Future Media and Journalism at Dublin City University and Dr Stephane Lathuiliere of Telecom Paris. Stephane reveals what is possible and what is not possible technically with current Deep Fakes Techno…
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This is Part 2 of our conversation with Professor Philipp Koehn of Johns Hopkins University. Professor Koehn is one of the world’s leading experts in the field of Machine Translation & NLP. In this episode we delve into commercial applications of machine translation, open source tools available and also take a look into what to expect in the field …
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Professor Philipp Koehn of Johns Hopkins University discusses the evolution of machine translation and the fundamentals for using Neural Networks to deliver Machine translation. Episode Summary: Philipp Koehn Bio What is Machine Translation? Adequacy & Fluency How to Quantify the performance of Machine Translation models The Transition from Statist…
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