Pattern ML Neil Batlivala and Avesh Singh

In this episode, we dive into the challenges and solutions in applying AI
to a field as meaningful and subtle as your own career. Stellares is an AI
Talent Agency that uses machine learning to help top tech talent navigate
their careers.

UnifyID authenticates users using implicit signals like typing speed and gait. In this episode, we learn more about this innovative use of machine learning, and explore UnifyID’s unique recruiting strategy.

Pedro compares the state of ML now to the beginning of the aviation industry; early pilots needed to know everything from the physics of flight to the engineering behind the plan and nowadays, a pilot interfaces with the entire plane through a cockpit dashboard. Ople AI is trying to be that dashboard, hiding implementation details of training to allow ML engineers to focus on higher level questions like how can the data available be used as features to solve business problems.

NanoNets isa Machine Learning as a Service platform for developers to rapidly create/deploy models. Learn about how they do it with transfer learning, a technique that uses learnings from coarse models to bolster others. They have a product aimed at developers and give insights into where ML tech is going!

Sales is a game of managing customer leads, pipelines, and followups. People.AI is automating the sales manager to help you close more deals backed by some unexpected yet highly reliable data sources. In this interview with founder Oleg Rogynskyy, we focus on the advantages of using high quality data sets and starting off as a consulting shop, to help build out new models that you work alongside your customers to develop!

Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine learning for ad targeting. Lift Igniter is taking similar concepts and creating a bleeding edge personalization engine that ups user engagement across the board.