How AI Happens

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

Director of AI Research Ram explains how ManageEngine's tools predict anomalies, the long term utility of Human-in-the-Loop AI, and how they've used sentiment analysis & transfer learning to overcome a lack of data.

Gyant CEO & Co-Founder Stefan Behrens explains the challenges inherent in creating datasets for healthcare purposes, as well as the importance of building interpretability into their AI tools.

Sama CEO Wendy Gonzalez explains how the Sama Digital Basics program teaches AI skills to individuals in Africa's largest slum, and reflects on the findings of MIT's 6 year study measuring the program's effect.RCT Results from MIT: Evaluating the Impact of Sama’s Training and Job Programs

CTO George Corugedo explains how the  relationship between physics and math is a model for the relationship between business questions and artificial intelligence, as well as Redpoint Global's ensemble approach to optimization.

Adnan Khaleel, Sr. Director of Global Sales Strategy for HPC & AI at Dell, explains how companies are using HPC and containerization to scale their AI implementations, as well as how Dell parallelized a radiology algorithm, drastically improving both speed and accuracy.ChexNet Parallelization Study