Dr. John Kane, Head of Signal Processing & Machine Learning at Cogito, explains the challenges brought on by the oft-repeated truism "speech is more than text", and how Cogito addresses these challenges to deliver real-time conversational insight to their users. Later, John explains the holistic approach to ensuring machine learning technology is created in a bias-free environment.

Data & AI Solution Specialist for Microsoft, Priyanka Roy, explains how Design Thinking is a crucial approach in the development of any AI technology, and how it's proper utilization results in better products and more effective teams. Priyanka also outlines the key pillars of a successful data governance approach, and the utility of "thick" data.

Walmart's SVP of Global Technology Anshu Bhardwaj and VP of Emerging Technology Desirée Gosby join Sama CEO Wendy Gonzalez for a roundtable discussion about representation in AI, explainable & ethical AI, and how representative teams are a key way to reduce biases in AI technology.

Theresa Benson, Product Storyteller for InRule Technology, explains the opportunity of combining declarative AI with predictive AI, and how InRule Technology is using predictive AI to empower non AI experts to develop algorithms from their existing domain knowledge.

LeanTaas CEO Mohan Giridharadas explains how his team is solving the Supply & Demand challenge within healthcare, how the algorithms are stress tested in order to handle extreme edge cases, as well as how drift is defined, detected, and resolved in a customer-centric fashion.

Anna Susmelj explains her research at Facebook AI developing optimal drug combinations for the treatment of complex diseases, as well as her background in causality research.Anna's Facebook Research: AI predicts effective drug combinations to fight complex diseases faster

Laurence Moroney is an industry veteran who has authored several books on AI development, taught a series of AI/ML MooCs, and even advises British Parliament on their AI approach. His mission at google is to evangelize the opportunity of AI and work towards democratizing access to the development of this technology.Laurence joined the podcast to discuss the nature of AI hype cycles, how AI practitioners can navigate them within their own organizations, and some of the amazing opportunities coming in to play when access to AI & ML is made global.Pre-Order Laurence's new book, AI and Machine Learning for On-Device Development: A Programmer's GuideStudy with Laurence on CourseraSubscribe to the Tensor Flow YouTube Channel

Kelvin Wursten, leader of PointClickCare's Data Science team, explains how they are utilizing AI to help solve complicated supply vs. demand calculations in hospital emergency departments, as well as the challenge of balancing building awesome technology while still prioritizing the user's needs.

Igor Susmelj, Co-Founder of Lightly.ai, explains how most companies don't have a problem of too little data, but rather of far too much irrelevant data. He details Lightly's approach of utilizing self-supervised learning to pare down massive data sets into something that can be useful to a supervised learning approach.

Hyperscience co-founder and CEO Peter Brodsky explains why standards are fundamentally at odds with innovation, and how making technology that is backwards compatible with reality is Hyperscience's approach.Key topics:The future of Human-in-the-loop processesUsing synthetic data to train deep learning algorithmsWhy the solution to data entry automation will  prove to be the solution to automation as a whole