Redefining AI: The Award Winning Tech Podcast

Spotlight Four is a snippet from our upcoming episode: Krish Ramineni - Generative AI and The Knowledge Worker. Listen to the full episode as soon as it comes out, by subscribing to Redefining AI. Who is Krish Ramineni? Krish is the Co-Founder and CEO of Fireflies.ai, an AI voice assistant that helps transcribe, take notes, and complete actions during meetings. He graduated from Upenn and was one of the youngest Product Managers at Microsoft where he led projects around customer voice & growth engineering.  Krish guest lectures at Stanford on Deep Learning and Machine Learning and is an early-stage startup advisor. This episode is a topical listen that invites us to think about what the introduction of mass scale use of generative AI means for the software industry and the knowledge worker. Will knowledge workers have to make trade offs and if so, what kind? 

In this episode: Lauren Hawker Zafer is joined by Kay Giesecke and Squirro's CTO Saurabh Jain. Who Can Benefit From This Conversation? This episode is a unique educational listen that invites us to think about how machine learning is enabling industry innovation and powerful tools that can solve important problems arising in fixed-income and credit markets. It is a conversation for all of us who are interested in the use of AI in the financial industry.  As a financial technologist, Kay provides invaluable insight into how he and his team are solving the challenging modeling, statistical, and computational problems arising in fixed-income and credit market. This conversation also addresses a more technical audience, given the additional technical angles of exploration that are provided by the Squirro CTO Saurabh Jain.  Who is Kay Giesecke? Kay is the Founder, Chairman and Chief Scientist at Infima. He is also Professor of Management Science & Engineering at Stanford University, the director of the Advanced Financial Technologies Laboratory, and the director of the Mathematical and Computational Finance Program. Kay serves on the Governing Board and Scientific Advisory Board of the Consortium for Data Analytics in Risk. He is a member of the Council of the Bachelier Finance Society.  As a financial technologist, Kay is interested in solving the challenging modeling, statistical, and computational problems arising in fixed-income and credit markets. Together with his students at Stanford, Kay has pioneered the core elements of the deep learning and computational technologies underpinning Infima’s solutions. Kay’s research has won several awards, including the JP Morgan AI Faculty Research Award (2019) and the Fama/DFA Prize (2011), and has been funded by the National Science Foundation, JP Morgan, State Street, Morgan Stanley, Swiss Re, American Express, Moody's, and several other organizations.  REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Spotlight Three is a snippet from our upcoming episode: Kay Giesecke - Deep Learning in Fixed Income Markets. Listen to the full episode as soon as it comes out, by subscribing to Redefining AI. Who is Kay Giesecke? Kay is the Founder, Chairman and Chief Scientist at Infima. He is also Professor of Management Science & Engineering at Stanford University, the director of the Advanced Financial Technologies Laboratory, and the director of the Mathematical and Computational Finance Program.  Kay serves on the Governing Board and Scientific Advisory Board of the Consortium for Data Analytics in Risk. He is a member of the Council of the Bachelier Finance Society. He is a financial technologist interested in solving the challenging modeling, statistical, and computational problems arising in fixed-income and credit markets. Together with his students at Stanford, Kay has pioneered the core elements of the deep learning and computational technologies underpinning Infima’s solutions. Kay’s research has won several awards, including the JP Morgan AI Faculty Research Award (2019) and the Fama/DFA Prize (2011), and has been funded by the National Science Foundation, JP Morgan, State Street, Morgan Stanley, Swiss Re, American Express, Moody's, and several other organizations. This episode is a unique educational listen that invites us to think about how machine learning is enabling industry innovation and powerful tools that can solve important problems arising in fixed-income and credit markets.

In this episode: Lauren Hawker Zafer is joined by Iain S.Thomas Who Can Benefit From This Conversation? This conversation is for all of us who are interested in Generative AI - the AI technologies that are generating content - and the fusion that is happening between them, and creative content producers. How is generative AI being used in the creative industry, and what can its uses, tell us about ourselves? To explore this, the conversation takes us into the fascinating depths of Iain's creative project with GPT3 and the surprising outcomes.  What Makes Us Human? GPT3 Answers Life's Biggest Questions is a wonderful listen that highlights the synergies that are possible between technology and literature. Who is Iain S. Thomas? Iain is one of the world’s most popular poets and is the bestselling creator and author of numerous books, including I Wrote This for You, an experimental and pioneering prose and photography project. He has spoken, toured, and read his work all over the world and appeared on panels at numerous conferences, including BookCon in New York and the Sharjah International Book Fair in the UAE. In November 2022, Iain released a book entitled: What Makes Us Human?: An Artificial Intelligence Answers Life’s Biggest Questions To make "What Makes Us Human", Iain and the innovative researcher Jasmine Wang collaborated with OpenAI’s GPT-3, an advanced artificial intelligence. GPT-3 (Generative Pretrained Transformer 3) is a state-of-the-art language processing AI model developed by OpenAI. It is capable of generating human-like text and has a wide range of applications, including language translation, language modeling, and generating text for applications such as chatbots. It is one of the largest and most powerful language processing AI models to date, with 175 billion parameters. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Spotlight Two is a snippet from our upcoming episode: What Makes Us Human? GPT3 Answers Life's Biggest Questions with Iain S.Thomas. Listen to the full episode as soon as it comes out, by subscribing to Redefining AI. Who is Iain S. Thomas? Iain is one of the world’s most popular poets and is the bestselling creator and author of numerous books, including I Wrote This for You, an experimental and pioneering prose and photography project. He has spoken, toured, and read his work all over the world and appeared on panels at numerous conferences, including BookCon in New York and the Sharjah International Book Fair in the UAE. In November 2022, Iain released a book entitled: What Makes Us Human?: An Artificial Intelligence Answers Life’s Biggest Questions To make "What Makes Us Human", Iain and the innovative researcher Jasmine Wang collaborated with OpenAI’s GPT-3, an advanced artificial intelligence. GPT-3 (Generative Pretrained Transformer 3) is a state-of-the-art language processing AI model developed by OpenAI. It is capable of generating human-like text and has a wide range of applications, including language translation, language modeling, and generating text for applications such as chatbots. It is one of the largest and most powerful language processing AI models to date, with 175 billion parameters. This episode is a wonderful listen and highlight the possible synergy between technology and literature!

In this episode: Lauren Hawker Zafer is joined by Avi Goldfarb Who Can Benefit From This Conversation? This conversation is for all of us who are interested in taking an economist lens of thinking about technology and the statistical nature of prediction. As prediction becomes cheaper, what are the cream and sugar to prediction in this space? Join this informative conversation with Avi and Lauren to learn more about power and prediction.  Who is Avi Goldfarb?   Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab and a Research Associate at the National Bureau of Economic Research. A former Senior Editor at Marketing Science, his research focuses on the opportunities and challenges of the digital economy. He has published academic articles in marketing, computing, law, management, medicine, physics, political science, public health, statistics, and economics. He co-authored the bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. His work on online advertising won the INFORMS Society of Marketing Science Long Term Impact Award, and he testified before the U.S. Senate Judiciary Committee on competition and privacy in digital advertising. Avi received his Ph.D. in economics from Northwestern University. His new book, also a bestseller, Power and Prediction, was published in November by Harvard Business Review Press. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Spotlight One is a snippet from our upcoming episode: Power and Prediction with Avi Goldberg! Listen to the full episode as soon as it comes out, by following and subscribing to Redefining AI. Who is Avi Goldfarb? Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab and a Research Associate at the National Bureau of Economic Research. A former Senior Editor at Marketing Science, his research focuses on the opportunities and challenges of the digital economy. He has published academic articles in marketing, computing, law, management, medicine, physics, political science, public health, statistics, and economics. He co-authored the bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. His work on online advertising won the INFORMS Society of Marketing Science Long Term Impact Award, and he testified before the U.S. Senate Judiciary Committee on competition and privacy in digital advertising. Avi received his Ph.D. in economics from Northwestern University. His new book, also a bestseller, Power and Prediction, was published in November 2022 by Harvard Business Review Press.

In this episode: Lauren Hawker Zafer is joined by Zee Kin Yeong Who Can Benefit From This Conversation? This conversation is for all of us who are interested in the role that forward-thinking governance on AI and data plays in the area of technology. It is for those who want to understand Singapore's approach to the development of technology and consumers' rights. Enjoy this episode and find out what Singapore is paying attention to when companies are using AI and "data". Who is Zee Kin Yeong?   Zee Kin is the Assistant Chief Executive (Data Innovation and Protection Group) of the Infocomm Media Development Authority of Singapore (IMDA) and Deputy Commissioner, Personal Data Protection Commission (PDPC) As Assistant Chief Executive (Data Innovation and Protection Group), Zee Kin oversees IMDA’s AI and Data Industry development strategy with the key responsibility in developing forward-thinking governance on AI and data in Singapore. He also spearheaded the development of Singapore’s Model AI Governance Framework, which won the UNITU WSIS Prize in 2019. He is currently a member of the OECD Network of Experts on AI (ONE AI), and was a member of the AI Group of Experts at the OECD (AIGO) which developed the OECD Principles on AI. In his capacity as Deputy Commissioner of PDPC, Zee Kin oversees the development, administration and enforcement of the Personal Data Protection Act (2012). His key responsibilities include managing the formulation and implementation of policies relating to the protection of personal data, as well as the issuing of enforcement directions for organisational actions. As a well-regarded expert on data privacy issues, he has spearheaded various public and sector-specific activities to raise awareness and compliance in data protection, and is currently participating as an expert in the Global Partnership on AI (GPAI)’s Data Governance Working Group, which addresses data protection issues at the intersection of AI development and deployment. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

In this episode: Lauren Hawker Zafer is joined by Peter Scott Who Can Benefit From This Conversation? This conversation is for anyone who wants to explore the relationship that we have with Artificial Intelligence. Peter outlines what Artificial Intelligence is, why it will affect you, and how you and your business can survive and thrive through the coming AI revolution.  Who is Peter? Peter Scott is a futurist, coach, and technology expert helping people master technological disruption. After receiving a Master’s degree in Computer Science from Cambridge University, he moved to California to work for NASA’s Jet Propulsion Laboratory and has continued to do that ever since. Peter raises awareness about artificial intelligence. He has appeared on radio and television, given university courses and numerous appearances to highly diverse audiences in several countries. In February 2020 he spoke before an all-party parliamentary group on the future of AI in Britain’s House of Lords, and delivered a TEDx talk to a thousand people in British Columbia, Canada.  His podcast, “Artificial Intelligence and You” has over 100 episodes, and tackles three questions: What is AI? Why will it affect you? How do you and your business survive and thrive through the AI Revolution? In July 2022, his new book, also called “Artificial Intelligence and You,” covering the same questions, was released. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

In this episode: Lauren Hawker Zafer is joined by Andreas Blumauer  Who Can Benefit From This Conversation? This conversation is for anyone who wants to understand what knowledge graphs are and how graph technologies are used. The conversation will help you learn more about building recommender systems with unstructured data and knowledge graph use cases. Andreas also goes in to depth about the role of a taxonomy and an ontology in knowledge graph use cases. Who is Andreas? Andreas Blumauer is CEO and co-founder of Semantic Web Company (SWC), the provider and developer of the PoolParty Semantic Platform. With headquarters in Vienna, Austria, but operating globally, SWC has worked with over 200 commercial, government, and non-profit organizations to deliver AI and semantic search solutions, knowledge platforms, content hubs, and related data modeling and integration services. SWC was named to KMWorld’s prestigious list of “100 Companies that Matter in Knowledge Management” from 2016 to 2021 and has been named multiple times in Gartner’s Magic Quadrant for Metadata Management Solutions and as a Sample Vendor in their Hype Cycle for Natural Language Technologies. In his role as CEO, Andreas is responsible for both the strategic growth of the company and its organizational evolution toward a highly focused customer orientation. SWC has grown every year since its inception under his leadership, and has been able to develop a cutting-edge and unique software platform that is ISO 27001 certified, and deployed globally across a number of key industries. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.