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 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 Cent ..read more

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 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 Cent ..read more

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 impact of all of this on traditional BI tools ..read more

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 the necessity for a common performance narrative across an organization. Episode Summary - - Biological Model Concept - Centralized vs. Decentralized Data - Data Collection and Maturity - Horizontal translation layer  - Partnership with ver ..read more

In this episode Patrick McQuillan talks to us about: Episode Summary - - Biological Model Concept - Centralized vs. Decentralized Data - Data Collection and Maturity - Horizontal translation layer  - Partnership with vertical leaders  - Curated data layers  - Data dictionary for consistency - Focusing on vital metrics - Data Flow in Organizations - Biological Model Governance - Overcoming Inconsistency and Inaccuracy ..read more

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 mitigating climate change 2. How Pachama is using machine learning and satellite imagery to verify carbon projects 3. Three types of carbon projects: avoided deforestation, reforestation, and improved forest management 4. Challenges in using sate ..read more

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 mitigating climate change 2. How Pachama is using machine learning and satellite imagery to verify carbon projects 3. Three types of carbon projects: avoided deforestation, reforestation, and improved forest management 4. Challenges in using sate ..read more

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.  Where 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 communicating with scientists and general audiences. News needs to reach policymakers and go ..read more

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 Virginia Tech where he was studying. Researching Complex Systems Virginia Tech Mass Shooting event and its impact on Maurizio What is the relationship between mass shooting events and the purchase of guns? Analysis of time series data - 70 ma ..read more

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 science prize is driving some truly fascinating and thought provoking implications for the development of strong AI ..read more