ArchiTECHt Daily: The long weekend edition

To my readers in the United States, welcome back after a long President's Day weekend. Like many of y
ARCHITECHT
ArchiTECHt Daily: The long weekend edition
By ARCHITECHT • Issue #21
To my readers in the United States, welcome back after a long President’s Day weekend. Like many of you, I spent it trying not to work, which in this case means I did not write my usual essay to kick off the newsletter. So straight to the links it is!
And remember: If you like the newsletter, please spread the word.

A picture from my weekend travels around Nevada.
Around the web: Artificial intelligence
This seems more like an issue of financial mismanagement by the MD Anderson Cancer Center in Houston than an issue with Watson. However, I do wonder if they suffered, capability-wise, by starting down this path in 2013.
The imagery in this story is really stunning; even better if it’s real. We’re making good progress on chips optimized for machine learning, and one that can help make some sense of what’s happening under the covers could be really useful.
To be honest, I haven’t listened to this podcast yet, but I’ll assume it’s worthwhile if you’re thinking about using any of the AWS AI tools. And Matt Wood is always a good interview, in my experience.
One of those "AI brain scans." Source: Graphcore
Around the web: Cloud and infrastructure
This post zeroes in on, for me, the most interesting part of Y Combinator boss Sam Altman’s annual letter: He essentially claims that the big web companies have such advantages in terms of tech, hiring, money and M&A that it might take an antitrust cast to reopen the door for a lot of startups to actually thrive in their collective shadow.
God help anybody who can bring some order to the health care system. Although the doctor-customer relationship doesn’t have such a nice ring to it.
It’s riding that API wave after Google and Oracle acquired Apigee and Apiary.
I often write about how hard it is to write good laws covering technology, and this is a prime example. Today, the fight is as much about cloud privacy as it is about email privacy, specifically.
There’s a little bit of vendor bias in pushing Kubernetes as the default platform here, but the graphic in this post gives you something to think about. How does it compare with any apps’ needs, though?
A forthcoming featuring for the Azure SQL Database will try to identify suspicious behaviors and attacks automatically.
Speaking of Microsoft and database security. You always know this type of thing is going to happen (companies courting users of some recently tarnished competitor), but it feels somehow more seedy from the new OSS-friendly Microsoft.
Keep reading for performance-spec porn. Supposedly in the name of speeding up HPC simulations by running parts of them through AI models.
ChartAccent in action
Around the web: All things data
Big data, AI, cybersecurity and every other data-centric IT movement can’t work without lots of good, clean, labeled data. It’s that simple.
hbr.org  •  Share
This is actually a good corollary to the link above. Users also have to be able to know what data is available, where it is, what it’s used for and more. 
ChartAccent lets users make charts with a web tool, and easily add annotations where necessary. Data literacy is still not great, so explanation still matters a lot.
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The most interesting news, analysis, blog posts and research in cloud computing, artificial intelligence and software engineering. Delivered daily to your inbox. Curated by Derrick Harris. Check out the Architecht site at https://architecht.io
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