Damien Deighan And Philipp Diesinger

Shows

Data Science ConversationsEnterprise Data Architecture in The Age of AI - How To Balance Flexibility, Control and Business ValueIn 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 data, AI, and technology. With practical experience in data and software engineering, he drives impactful and lasting change. Before joining Rewire in 2024, Nikhil spent over six years at McKinsey and QuantumBlack, where he led holistic data and AI initiatives, particularly for clients in life sciences and healthcare. Earlier in his career, he worked as a data engineer in Canada, specializing in financial services. Nikhil holds a degree in Electrical...2025-05-261h 06

Data Science ConversationsKey Principles For Scaling AI In Enterprise: Leadership Lessons With Walid MehannaIn 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 and create lasting impact through thoughtful leadership.As Chief Data & AI Officer of Merck Group, Walid led the Merck Data & AI Organization, delivering strategy, value, architecture, governance, engineering, and operations across the whole company globally. Hand in hand with Merck’s business sectors and their data offices, we harnessed the power of Data & AI. Walid is glad to be part of Merck as an...2024-12-101h 03

Data Science ConversationsMaximising the Impact of Your Data & AI Consulting ProjectsIn 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 conversation is a must listen for anyone dealing with the challenges of integrating AI into business processes or considering an AI project with an external consulting firm. Christoph draws from decades of experience, offering practical advice and actionable insights for organizations and practitioners alike.Key Topics Discussed1. Evolution of Data and Cloud ComputingThe shift from local computing to...2024-11-2546 min

Data Science ConversationsKP Reddy: How AI is Reshaping Startup Dynamics and VC StrategiesKP 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 evolving role of AI in entrepreneurship, offering insights into:GENAI adoption in large companies is still limited How AI is empowering leaner, more efficient startupsThe potential for AI to disrupt traditional venture capital strategiesThe emergence of new business models driven by AI capabilitiesReal-world applications of AI in industries like construction, life sciences, and professional services 2024-09-241h 01

Data Science ConversationsThe Evolution of GenAI: From GANs to Multi-Agent SystemsEarly 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 (GANs).Development of GANs and Early Language Models since 2016The evolution of Generative AI from visual content generation to text generation with models like Google's Bard and the increasing popularity of GANs in 2018.Launch of GenerativeAI.net and Online CourseMartin's creation of GenerativeAI.net and an online course, which gained traction after being promoted on platforms like Reddit and Hacker News.2024-08-2943 min

Data Science ConversationsFuture AI Trends: Strategy, Hardware and AI Security at IntelIn 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 parallels with past technological revolutions. He discusses Intel’s pioneering role in enabling these shifts through innovations in microprocessors, wireless connectivity, and more.Steve highlights the pervasive role of AI in various industries and everyday technology, emphasizing the importance of a heterogeneous computing architecture to support diverse AI environments. He talks about the challenges of operationalizing AI, ensuring real-world reliability, and the critical need for robust AI...2024-07-241h 02

Data Science ConversationsEnhancing GenAI with Knowledge Graphs: A Deep Dive with Kirk MarpleIn 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 last 30 years in software development and data leadership roles. He also successfully exited the first startup he founded, RadiantGrid, acquired by Wohler Technologies.Now, as the technical founder and CEO of Graphlit, Kirk and his team are s...2024-06-0644 min

Data Science ConversationsUsing 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 create a system capable of catching and correcting errors across multiple languages.LanguageTool supports over 30 languages, has several million users, and over 4 million installations of its browser add-on, benefiting from a diverse team of employees from around the world.Episode Summary -LanguageTool decided against using existing LLMs like GPT-3 or GPT-4 due to cost, speed, and accuracy benefits of developing their own...2024-03-0450 min

Data Science ConversationsThe Path to Responsible AI with Julia Stoyanovich of NYUIn 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 expert lens, Dr. Stoyanovich advocates for a future where AI is not only innovative but also equitable, transparent, and aligned with human values.Julia is an Institute Associate Professor at NYU in both the Tandon School of Engineering, and the Center for Data Science. In addition she is Director of t...2024-01-2948 min

Data Science ConversationsTransforming Freight Logistics with AI and Machine LearningLuis 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+ FTEs across 4+ organisations to develop award-winning ML solutions to address real-world problems in various fields such as e-commerce, travel, logistics, and finance. Luis holds a Ph.D. in Machine Learning from the U. Porto, Portugal. He possesses a world-class acade...2023-12-081h 01

Data Science ConversationsThe future of LLMs, ELMs and the semantic layerIn 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 impact of all of this on traditional BI tools.2023-11-0134 min

Data Science ConversationsData Strategy Evolved: How the Biological Model fuels enterprise data performanceIn 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 the necessity for a common performance narrative across an organization. Episode Summary -- Biological Model Concept- Centralized vs. Decentralized Data- Data Collection and Maturity- Horizontal t...2023-05-0956 min

Data Science ConversationsMapping forests: Verifying carbon offsetting with machine learningIn 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 Summary1. The importance of carbon credits verification in mitigating climate change2. How Pachama is using machine learning and satellite imagery to verify carbon projects3. Three types of carbon projects: avoided deforestation, reforestation, and improved forest management4. Challenges in using satellite imagery t...2023-03-1425 min

Data Science ConversationsHow Science is (mis)communicated in Online MediaÁgnes 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 scientific researchWhere is science communication in relation to digital platforms? - Scholars work hard on discovering scientific findings, but information doesn’t always reach the public appropriately. How to communicate scientific research - it’s not just about com...2023-02-1533 min

Data Science ConversationsHow Observability is Advancing Data Reliability and Data QualityModern 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 of Data Observability is advancing Data Reliability and Data Quality at Scale.Episode SummaryA overview of Data Reliability/Quality and why it is so critical for organisationsThe limitations of t...2022-05-1843 min

Data Science ConversationsThe Pitfalls of Using AI Systems for HiringIn 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 SummaryAlgorithmic decision making in the hiring process - what does that mean for businesses and job seekers?The hiring process - the funnel effect.Lack of public disclosure about the use of algorithmic tools as part of the...2022-02-0144 min

Data Science ConversationsUsing Time Series Analysis to Uncover Why Gun Sales Increase After Mass Shootings - Maurizio PorfiriIn 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 Virginia Tech where he was studying.Researching Complex SystemsVirginia Tech Mass Shooting event and its impact on MaurizioWhat is the relationship between mass shooting events and the purchase of guns?Analysis of time series data - 70 ma...2021-11-1640 min

Data Science ConversationsPerry Marshall - Why Evolutionary Biology Has Big Implications For Future AI DevelopmentIn 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 science prize is driving some truly fascinating and thought provoking implications for the development of strong AI.2021-09-2959 min

Data Science ConversationsHow AI Is Driving The Eradication Of MalariaIn 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 SummaryMoving from malaria control to malaria eliminationHow Zzapp Malaria started and how investors were attractedThe use of drones, satellite imagery, topography, rain/humidity data and a new mobile appThe development of small neural networks to identify the potential for small water bodiesHow IBM Watson...2021-08-1736 min

Data Science ConversationsHow XPRIZE is enabling AI for social goodIn 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 how anyone has the potential to make a real difference in using AI to help solve real world problems.The history of challenge prize competitions and how the British Monarchy were involvedChallenge prize is philanthropy with capitalism t...2021-07-2040 min

Data Science ConversationsHow to Leverage Data For Exponential Growth - Tarush AggarwalIn 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.Episode SummaryHow Salesforce leveraged data to grow their company fastHow Mark Benioff ensured his vision was executed effectively at Salesaforce.comWhat it was like to join WeWork at the start of their d...2021-05-071h 07

Data Science ConversationsHow AI Imaging Is Transforming Satellite ImageryIn 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 discuss their journey into Satellite Imaging and share with us the latest developments in this fascinating and evolving area of Data Science.Episode SummaryWhy is satellite image processing such an...2021-01-2652 min

Data Science ConversationsAI V Humans (Part 2) - Esports Legends Battle With AlphaStar (Google DeepMind)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 technical capability of AI agents and about the psychology involved when Humans take on the machines.Episode SummaryThe live event Rematch against A...2020-11-2632 min

Data Science ConversationsAI V Humans (Part 1) - Esports Legends Battle With AlphaStar (Google DeepMind)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 the technical capability of AI agents and about the psychology involved when Humans take on the machines.Episode SummaryA typical day for an esports athleteThe similarities and differences between Esports a...2020-11-1027 min

Data Science ConversationsDeep Fakes (Part 2) - Technological Advancements & Impact on SocietyThis 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 mediaThe role of fact checkingHow to deal with Deep fakesWhat Adobe and Microsoft are doing about Deep FakesThe future role of GAN’s in detecting Deep FakesResources:Video of First Order Motion Model For Video Animation: https://www...2020-10-2820 min

Data Science ConversationsDeep Fakes (Part 1) - Technological Advancements & Impact on SocietyThis 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 Technology.Eileen helps us cut through the hype about Deep Fakes and tells us about their real world social and political impact.EPISODE SUMMARY:Short History of Media ManipulationThe breakthroughs in Deep Learning e...2020-10-2221 min

Data Science ConversationsPhilipp Koehn (Part 2) - How Neural Networks have Transformed Machine TranslationThis 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 in the future.Episode Summary: Typical datasets used for training modelsThe role of infrastructure and technology in Machine TranslationHow the academic research in Machine Translation has manifested into industry applications 2020-10-1429 min

Data Science ConversationsPhilipp Koehn (Part 1) - How Neural Networks Have Transformed Machine TranslationProfessor 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 BioWhat is Machine Translation?Adequacy & FluencyHow to Quantify the performance of Machine Translation modelsThe Transition from Statistical approaches to using Neural Networks for translationValidating Outputs of modelsWhat can go wrong with Machine Translation?Resources: Philipp Koehn latest book - Neural Machine Translation - Amazon link: https://www.amazon.com/Neural-Machine-Translation-Philipp-Koehn/dp/1108497322 2020-10-0730 min

Data Science ConversationsTrailer EpisodeYour co-Hosts Damien Deighan and Philipp Diesinger discuss the Data Science conversations Podcast concept. You will find out what to expect from the show in the coming weeks.2020-09-2103 min