ARCHITECHT Daily: IBM says it proved a quantum advantage, and Slack says it can help us ask better questions

I'm worn out after yesterday's treatise (by my current standards, at least) on why Docker hired a new
ARCHITECHT Daily: IBM says it proved a quantum advantage, and Slack says it can help us ask better questions
By ARCHITECHT • Issue #69
I’m worn out after yesterday’s treatise (by my current standards, at least) on why Docker hired a new CEO, so I’m keeping it brief up top today. Here are three news items from yesterday that could turn out to have lasting impacts:
  • Slack wants to help users ask questions to the right people (TechCrunch): This new Slack feature—where it responds to search queries with a list of other people who also talk about that topic—might not seem like too big a deal, but I think it could be. There have been numerous attempts to connect people and bridge information silos within companies, but the amount of time many users spend on Slack gives it a somewhat unique advantage in terms of training data. Also, anything to give users insight into the 9,000 Slack channels some organizations maintain would probably be useful.
  • IBM says it has proved a quantum computing advantage (IBM): IBM and Google are both promising we’ll have commercial quantum computers in several years, so any evidence that we’re moving toward that end is meaningful. Even quantum computers focused on a specific type of problem could have a big impact in the machine learning world (or, more specifically, on machine learning applications) and potentially on IBM’s bottom line, as well.
  • Intel’s data center boss is departing (Fortune): Diane Bryant is stepping down as president of Intel’s Data Center Group, reportedly to deal with an undisclosed personal matter. The leadership change in that unit, which is a major revenue source, comes at a time when Intel is trying to ride the waves, and thread the needles, of cloud computing and artificial intelligence. Both will continue to have significant impacts on what Intel builds for its data center customers, and to whom it’s selling that gear.
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Artificial intelligence
This guy says he ranked every machine learning course online, based on user reviews. Andrew Ng’s Coursera class wins.
Gotta go where the money is. Using AI to identify disease causes and then target drug development could save lots of lives and money.
Our long national nightmare is over!
This is another AI investment by Microsoft Ventures, which has been pretty busy lately. Also, actually accurate text summarization would be HUGE, but I’m not holding my breath.
This is pretty clever and potentially quite useful. Google’s systems are reading street signs and business signs in order to provide more accurate information about what’s where. 
These examples are still a way out, but they’re not outside the realm of possibility, and they’re kinda eerie. Voice forgery might be particularly troubling.
Everyone else is doing it. Why not Singapore, too? If you read Arxiv, you see that AI research is coming from all corners of the globe right now.
I’m not certain the “prosumer” data scientist market is huge, but there’s a certain logic to targeting it with relatively low-priced cloud services. Google might prove hard to beat with this demographic, though.
According to CB Insights, Legal; Education & research; Physical security; Travel; News, Media, and Entertainment; HR; and Real estate are becoming hotbeds for AI investment.
This sounds like promising research: Learning how humans tend to behave in certain situations by watching and modeling how they behave.
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Listen the the ARCHITECHT Show podcast. New episodes every Thursday!
Cloud and infrastructure
So we can finally put to bed the old “Telcos make the best cloud providers” argument? I wonder how much revenue this business is bringing in.
If your heart is in disruption and flying by the seat of your pants, Rackspace probably isn’t the place to do that anymore.
This is largely a result of the smartphone market, but if we buy into a future of IoT and edge computing, Samsung could become a bigger player in enterprise workloads, as well.
The New Stack provides some good info on Red Hat’s new free platform for developers, as well as its new AWS integration. The Hacker News discussion on provides some good info, and criticism, as well.
I’ll be honest: The most surprising thing in here is the complexity of the Oracle sales team and process. Streamlining around cloud makes sense.
From the University of Tennessee. The complaint doesn’t state damages, but both companies do a lot of revenue in databases, so the payout could be large.
It’s a pretty smart approach, touching everything from the hardware up to the cloud. Could be a good avenue for driving Azure usage, too.
Mostly on reserved instances, but also on all its M4 instances.
For Cassandra, Elasticsearch, Jenkins, MongoDB and more. This is a good way to get more of the container workflow onto its platform.
Media partner: GeekWire
Media partner: GeekWire
All things data
It’s crazy how fast Tableau’s trajectory slowed down over the past couple years. It’s trading at less than half its peak from July 2015, despite closing in on a billion-dollar run rate.
I’m not certain this data has value beyond Instacart, but I do love when companies release their data. I’m sure there’s something in here for food companies, at least.
This has been the argument for years, made here by the CEO of a startup called Tempus. Google might have found the key to getting this data with its Verily project: Simply asking people for everything they’ve got.  •  Share
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