The Real Danger of Feature Fatigue — Why learning to play a song is more than the first four bars or mastering the…

Uber tipping and the dangers of competing against creepy

Frictionless surfaces don’t actually exists

S01E13Ai — Conversation w/ Matt Scott, CTO & Co-Founder @ Malong Technologies

In this episode David speaks with Matt Scott, CTO & Co-Founder of Malong Technologies where they specialize on product recognition solutions for retail. We discuss what it takes to build out…

Product Fears — What keeps you up at night when it comes to building your product?

Episode 19 — Ai Ethics with Gisele Waters, Ph.D.

In this episode, David talks to Gisele Waters, Ph.D. about ethics, IEEE P7000, and the “DiNozzo” factor.

“The P7000 is what the IEEE organization wants to develop as the model process for addressing ethical concerns…

S01E11 AI — Paying for your sins and creating a productive data-driven culture

“How much effort are you willing to put in to correcting your past sins and atoning for those before you move up the sophistication ladder. I would argue it would be a good practice to do…

Episode 18 — The Ai Unclean

In this episode Ben & David talk about the ethical ramifications of Ai in a variety of contexts, what organizations should be considering, and best practices learned from previous efforts in regulated industries.

S01 E03 AI — Why Most AI Projects Fail

In this AI Edition of The Point of Struggle podcast Ben & David discuss the most common reasons that organizations fail to implement or get an ROI on their AI/Machine Learning projects.

Hiring Type 1 or Type 2 Data Scientists — AI Edition

In this first episode of The Point of Struggle: AI Edition Ben Taylor and Gonzo discuss what your 2018 AI roadmap should consider when it comes to solving your AI and Data Science goals with a hire or outside solution.