Now this is extremely interesting > Tier IV raises $100 million to develop open source software for driverless cars https://t.co/v0bIjXEpC4

Post-real, too. > Udacity’s AI generates lecture videos from audio narration https://t.co/V1sS3F9Q0Q

American and European airlines have turned flying into a miserable experience. I flew for only 20y in a row, every month of the year, and yet it was enough to believe this article> People hate flying, and it could lead to the demise of the airline industry https://t.co/gnkLJtljH7

Interesting concept @artmoney_global. I hope you’ll partner with UK and African galleries too > This App Makes It a Lot Easier to Be an Art Collector https://t.co/XUeYJ38pnu

None of the applications we have seen so far (including the benevolent and good intentioned ones with poorly maintained models) seems in defence of democracy. Quite the opposite… > How #AI can strengthen and defend democracy https://t.co/WPzR2zP5p0

@vivaldibrowser After a couple of days of use, on a macOS 10.15 beta, I can say that @vivaldibrowser is impressively fast, compatible with all Chrome extensions I need, and so much more useful with side tabs and bookmarks (at least on a 15” screen).

We got to a point where even the mildest technology *evolution* in a product category gets a completely new product category name. All to keep high the dopamine rush.
No surprise there’s a massive confusion among customers.

I disagree with this, too. The research cites as “AIOps Platforms” vendors that have been in the monitoring/log aggregation space since 2010. It’s safe to say that, for marketing reasons or out of natural evolution, all monitoring tools will eventually claim to be AIOps Platforms https://t.co/w0I1QkAIxE

“AIOps will not replace monitoring tools, rather it will provide enhanced analytics and more actionable data. Domain-centric monitoring tools will continue to exist providing data capture, analysis and visualization of their domains for the specialist. ” https://t.co/8qYjm0yoLC

What “XOps” definition really means is that regardless of your role (dev/sec/net) you have a certain amount of IT operations to autonomously perform without waiting for a central IT. “AIOps” should follow same logic and apply to data scientists, but no. Completely different thing