It's life Jim, but not as we know it


Recommended Google I/O 2017 viewing

Google I/O 2017 is over. Like previous years, all the sessions have been published on Youtube.
I'd recommend watching all the sessions if you can, located at this link:

Not sure where to start? Here are some of sessions I attended and found worth recommending..

Android Meets TensorFlow: How to Accelerate Your App with AI
Why:  Good intro to ML, operationalizing for small devices (sorting cucumbers, pruning trees) and just entertaining ! Don't miss the cultural ed at the end.

From Research to Production with TensorFlow Serving
Why: Operationalising Machine learning. 

Past, Present and Future of AI / Machine Learning
Why: insightful and latest thinking from thought leaders in AI.

Effective TensorFlow for Non-Experts
Why: Good intro to ML and TensorFlow

Single Codebase, Two Apps with Flutter and Firebase
Why: How to give a tech presentation and demo. Creative storytelling. Entertaining. Anything with is worth watching anyway - but I'm biased.... 

Applying Built-in Hacks of Conversation to Your Voice UI
Why: Thought provoking - a must for anyone with an interest in UX or building any application or service. If you watch you will realise that a lot of systems you interact with have been designed by people who want to punish you.

Bringing the Google Assistant to Any Device
Why: IoT use case

Supercharging Firebase Apps with Machine Learning and Cloud Functions
Why: What modern application development looks like

Introduction to Kotlin
Why: If you write Java, you should look at Kotlin. 

Open Source TensorFlow Models .
Why: It's Entertaining - using AI in arts, image and audio. Well .. it can't all be about work right?