Bayesian predictive inference machines using Probabilistic programming

What we'll do

Barrel AI Monkeys are honoured to have one of the "Great ML Apes" as speaker and member of our network; Dr Michael Green. After his PhD studies in Theoretical Physics he dedicated his professional and spare time to AI currently as Senior Vice President and Chief AI Officer at Blackwood Seven A/S and CEO for Green Analysts.

Dr. Green´s talk will be an inspirational combination of algorithms, math, statistics, coding, business use cases and AI evangelism. After the talk, there will be a discuss & engage session with some lead questions and opinions around the topic.

Talk description:

Improving Business Decision Making with Bayesian Artificial Intelligence in a world where deep learning and other massively scalable perception machines are at our disposal, allowing us to build amazing applications, the time is now ripe to move beyond the concept of pure perception and into broader Artificial Intelligence.

The path towards AI goes through what's missing in many applications today; inference. Only when we combine Inference machines and Perception machines can we truly talk about AI. The benefit will be a machine that knows what to expect before observing its environment and that can take prior information into account. With ever more mature Probabilistic programming languages available, we can express this marriage of perception and inference. In this talk we will scrape the surface of how to build Bayesian predictive inference machines using Probabilistic programming.

Bring your computer in case it is needed and check for any additional instructions or changes day before the event.

Agenda

17.45-18.00 – Meet & Greet

18.00-18.45 – Presentation part 1

18.45-19.15 – Break with something to eat

19.15-20.30 – Presentation part 2 + Q&A

Looking forward to seeing you!

J, M & M AI Monkeys