By Feebris
The podcast currently has 9 episodes available.
On this week’s episode of Ethical Data, we’re joined by Jason Pontin. London born, California raised and educated in the United Kingdom, at Harrow School and Keble College, Oxford, Jason was the editor of Red Herring, the bible of the dot.com boom. From there he moved to MIT Technology Review, wrote a column for The New York Times and founded Solve, MIT’s open innovation platform.
In 2018 he left MIT to work directly with scientist entrepreneurs, first as a senior partner at Flagship Pioneering, a life sciences innovation firm that invents the technology of its portfolio companies. In 2021, he joined DCVC, which backs companies using deep tech to build a more abundant, resilient, and equitable future.
On this month's episode of Ethical Data, we’re joined by Leslie Kanthan, PhD, CEO at Turin Tech. TurinTech empowers businesses to build efficient and scalable AI by automating the whole data science lifecycle with multi-objective optimisation.
Leslie and Elina talk all about sentience in AI, the next generation of data standards, the commercialisation of data in sensitive spaces like healthcare.
Our guest, Prashant Natarajan, focuses on the intersection of business outcomes, technology strategy, and digital transformation programs. He is currently the Vice President of Strategy and Products at H2O.ai. He is passionate about customer happiness, digital transformation successes and innovation at scale – with AI, advanced analytics, cloud, and data - for global clients in insurance, health sciences, banking, and manufacturing.
Previously, Prashant was a Principal at Deloitte Consulting, global leader for data science and analytics at Unum Group, and portfolio director of cloud data platforms and analytics products at Oracle’s Health Sciences GBU.
Prashant is an author/co-author of five books, all of which are practical, industry-focused titles that demystify digital transformation, data, machine learning/AI, and healthcare informatics. He is an invited Co-faculty Instructor at Stanford University, a Distinguished Fellow at the Health Innovation Alliance, and Member of the Advisory Board at Pistoia Alliance AI Center of Excellence.
Prashant has also been invited to contribute as an industry thought leader and expert advisor by members of the US Congress, the White House, and leading private sector organizations & governments in the Americas, Asia, Australia, and Europe. He has an undergraduate degree in chemical engineering and a graduate degree in technical communication and linguistics.
This week, Elina is joined by James Kugler, Chief Digital Officer of Merck. James received his Bachelor of Science in Biomedical Engineering from Washington University in St. Louis, USA. A passionate bioinformaticist / computer scientist, he has pursued several research activities at the MIT and Harvard Medical School to gain greater understanding of health sciences and technologies.
While completing a Ph.D. program, James received an attractive job offer as a corporate strategist and planner with Sigma Aldrich (part of the Merck Group since 2015) where he led the development of a scientific collaboration platform. In 2012, he became Head of Global New Product Development & Introduction and was responsible for the harmonization and streamlining of the product development process. In 2014, he became Director Global Digital Marketing and was responsible for the largest eCommerce platform in the life science industry. At the age of 28, he was appointed Chief Digital Officer of Merck. With his "disruptive" way of thinking, he leads a global unit in the digital age and is responsible for Merck's digital transformation worldwide.
James and Elina discuss:
To learn more about Elina's work, visit www.feebris.com
This week, Elina Naydenova is joined by Dr Shane Gordon, Director of Strategy, Research and Innovation at East Suffolk and North Essex NHS Foundation Trust and Dr Ashish Singh, an AI developer and Junior Doctor at East Sussex and North Essex NHS Foundation Trust, who's keen on developing digital aspects of healthcare delivery.
Elina, Shane and Ashish discuss the future of AI and technology in the NHS, and how regulation and practical needs and pressures impact innovation. Ashish suggests that maybe it's time we stopped calling it AI and Shane talks about why we must starting before we're ready, rather than waiting for perfect plans, to make real impact.
To learn more about Elina's work, visit www.feebris.com
This week, Elina Naydenova is joined by Brhmie Balaram, Head of AI Research & Ethics for NHSX. She leads the Lab’s AI Ethics Initiative, which supports research and practical interventions that complement and strengthen existing efforts to validate, evaluate and regulate AI-driven technologies in health and care. Her focus is on addressing the inequalities that can emerge from the ways that AI-driven technologies are developed and deployed.
Elina and Indra discuss the AI trust problem, ethics and regulation, and creating a model for impact assessment with the Ada Lovelace Institute.
To learn more about Elina's work, visit www.feebris.com
This week, Elina Naydenova is joined by Dr Indra Joshi, Director of AI for NHSX and the lead on the creation of the NHS AI Lab. Indra oversees digital health initiatives within the NHS with a focus on data, standards, evidence and AI Policy and she has a unique portfolio with experience stretching across policy, digital health, national project strategy and implementation; whilst remaining true to her professional training as an emergency medic.
Elina and Indra discuss the origins of the AI lab, where AI can help clinicians, shifting the narrative on what to celebrate when it comes to AI, the fundamentals of data, policymaking in AI and much more.
To learn more about Elina's work, visit www.feebris.com
This week, Elina is joined by Dominique Airey, Partnerships Director at Feebris, to discuss a recent paper published by The Lancet, titled 'Health data poverty: an assailable barrier to equitable digital healthcare.'
Can digital health technologies transform healthcare and provide everyone, everywhere with equitable access to expert-level care? Can they narrow the global health and wellbeing gap? Or is it highly possible that these transformative technologies could exacerbate existing healthcare inequalities instead?
Health data poverty is the inability for individuals, groups or populations to benefit from a discovery or innovation due to a scarcity of data that are adequately representative. Is this lack of representation a threat to global health? How do we ensure that nobody gets left behind in the digital era?
To find out more about Elina's work, visit www.feebris.com
Welcome to episode one of our brand new podcast, Ethical AI. This week, Elina Naydenova is joined by two members of the machine learning team at Feebris.
Rafah El-Khatib is the ML Research Lead and a machine learning engineer by background, passionate about AI for Good. She has academic and industry experience in the fields of Information and Coding Theory (PhD), Finance, and Healthcare and is skilled in predictive modelling, Bayesian networks, deep learning, model interpretability, and unsupervised learning. Gareth Jones is the ML Team Lead focused on productising and maturing AI models to extract disease biomarkers from physiological signals.
To learn more about Elina's work, visit feebris.com
The podcast currently has 9 episodes available.