ArchiTECHt Daily: Fog, layoffs and, of course, deep learning

No news or analysis up here today, but there was a lot of good stuff published yesterday. Here are my
ArchiTECHt Daily: Fog, layoffs and, of course, deep learning
By ARCHITECHT • Issue #14
No news or analysis up here today, but there was a lot of good stuff published yesterday. Here are my top 5 links:
Making Baidu’s PaddlePaddle platform run on Kubernetes: Baidu wants to see an environment where deep learning can run alongside the web server, data pipeline, etc., on the same cluster.
Deloittle predicts machine intelligence is a $31B market by 2019: I’ll buy it, especially when robots and analytics come into play.
OpenFog Consortium releases a reference architecture: This group has a lot of the right players on board, but it’s hard to see standards shaping up today without Amazon and Google involved.
Here’s how Evernote moved 3 petabytes of data to Google’s cloud: The headline kind of speaks for itself. That’s a lot of data—some 12 billion files—and no downtime.
Rackspace lays off 6 percent of U.S. workforce: Save for not calling out the divisions that aren’t performing up to expectations, this blog post from CEO Taylor Rhodes pretty much lays it all out there. 

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Around the web: Artificial intelligence
Some day, AI will come for us all. Today, it’s helping us pin. Seriously, though, Pinterest is a great example of everyday applied AI.
The context here is planning algorithms, but encoding human intuition seems necessary for anything resembling a cognitive system. FWIW, planning is often cited as an ideal use case for quantum computers.
This is based on Power, from what I can tell. When will IBM productize its neuromorphic processor, which received some rave reviews last year?
Around the web: Cloud and infrastructure
The OpenFog architecture mentioned above.
The OpenFog architecture mentioned above.
Lightbend flies under the radar a bit, but it’s building a nice company with a growing stable of big users.
Apparently, Orangeburg, N.Y., is a data center hub. Bloomberg has a big facility there, too. These companies will never go whole hog into the cloud.
There’s lot of competition in this market, both big and small. But there’s also a ton of upside if you can outshine the rest.
For Facebook, these apparently are the wages of releasing hardware designs. The patents were acquired from HPE in September.
And over in Redmond, Microsoft is hoping its newfound openness will help woo customers, including by letting them use its patents to defend against actions like the one above.  •  Share
Around the web: All things data
A direct headline from Computerworld here, so I kept it. Note: this is about all bias, not just the kind that warrants FTC fines or consumer boycotts.
Splice Machine does a SQL database powered by Hadoop and Spark, now offered as a cloud service. The company also open sourced its software last year. That’s probably telling.  •  Share
Marketing content, but this offers some decent analysis of the state of cybersecurity and how Apache Spot comes into play.
From Wes McKinney, a hedge fund data scientist who created the Pandas project, founded DataPad, and was most recently at Cloudera before getting back into finance.
Around the web: Software, generally
And there are some interesting enterprise IT companies in here, including a database monitoring start (Nazar) and lots of AI.
That’s a lot of dough for the company headed by former MySQL and Eucalyptus CEO Marten Mickos. But identifying security holes before the bad guys do is hugely important.  •  Share
Application development gets the lion’s share of investment, until 2020 when IDC predicts software will be the biggest line item. Startups: figure out your revenue model now!
While D-Wave is doing its thing, researchers are plugging away toward other avenues for quantum computing. Who knows when it will be commercially viable, and how revolutionary they it will actually be at that point.
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