Target is the latest retailer to move off AWS:Retail defection/prohibition alone won’t make or break AWS, but it’s a trend worth keeping an eye on as the Amazon platform expands. We’ve already seen Google and Walmart partner on the smart-home front, and you could envision competitors across Amazon’s other businesses looking for other partners, too. If it happens enough, AWS might really have a situation on its hands.
Backblaze releases its latest hard drive analysis: This quarterly report is always a good at what hard drives are working best for storing lots of backup data. If I’m reading this correctly, HGST drives are very reliable over long periods. The bigger picture here, though, is that Backblaze made a name for itself with open-source storage hardware, and its focus on price-performance has made the company profitable even at very low prices. It’s now probably the best/safest bet in town for consumer backup, and has a growing S3-type cloud storage service, as well.
Salesforce built a natural-language query system using deep reinforcement learning:Salesforce has a built an impressive research team, and its willingness to let them publish and open source their work should help it continue to grow. This new system, called Seq2SQL, uses reinforcement learning and SQL under the covers, but presents users with a standard search bar. There are a lot of companies working on natural language queries and raising gobs of money for it, but Salesforce could make a big dent in that market if can do a good job productizing this work.
Gigster raises $20 million to help enterprises build AI apps: Well, not just AI apps, but that’s obviously going to get a lot of attention in the years to come. More importantly, though, is how the company is trying automate the process of defining a job and securing a team of freelancers to build it. If you buy into the argument that most successful AI systems and applications will be custom-built, then you have to like a company focusing on improving that part of the process.
People seem impressed with the natural translations that DeepL is able to produce. I’m not certain about the market for translation services, but there are several reasons why competing against Google et al seems difficult, even if your models are better. Maybe there’s an acquisition in the works.
This seems like a fair assessment of the benefits of classic machine learning versus AI for market prediction, as well as the importance of human oversight and the effects of regulation on adopting AI.
This is a huge opportunity for cloud providers like IBM, as the researchers note. They need models that models that can more easily address the varying workloads of varying customers, without doing a custom project every time.
This is a nice analysis of everything VMware announced this week (and previously) and how the company is thinking about hybrid clouds. Somebody suggested to me on Twitter that AWS might stand to make more revenue from its VMware partnership than I suggested yesterday (because TCO of VMware is more than just licenses). It makes some sense, but I still contend that the long-term move will be away from VMs and toward containers, microservices, etc.
This is a short take by a Gartner analyst that makes an important point: technologies don’t need to reach mass adoption to force a change in the way people think about architectures and build products.
Researchers have created a new method for producing qubits that are less error-prone. With all the advances coming out of labs, though, you have to wonder what’s actually being implemented at Google, IBM, Rigetti and other commercial quantum computing companies.
This is interesting work, which aims to make Docker more available in cloud environments and less reliant on its daemon. Mesos provides availability improvements, too, although it wasn’t designed with Docker in mind. Docker Swarm might, too.
I’m not certain this is indicative of anything, but it appears that people still search a lot more for “data warehouse” than for anything having to do with cloud-based options. It’s hard to believe anybody is really looking to buy Netezza over Redshift.
This could be a very big deal if it’s widely accepted. Privacy concerns result in lots of valuable data not being shared, but this approach promises to give researchers data on diseases they’re studying, but nothing else.
ARCHITECHT delivers the most interesting news and information about the business impacts of cloud computing, artificial intelligence, and other trends reshaping enterprise IT. Curated by Derrick Harris.
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