Machine Learning: The cloud is the new battlefield
There's a reason why every major cloud provider is backing its own machine learning framework. What's that and how do you get to choose?
Read More →A better blockchain: Bitcoin for nothing and transactions for free?
Imagine a blockchain-like protocol that promises to remove what is seen as the two biggest deficiencies in blockchain: inefficient mining and soaring transaction fees. IOTA is working on a fix.
Read More →Who’s automating the enterprise? Meet Amelia and the future of work
Imagine all enterprise functions automated by software and performed through a single point of access, which happens to be a virtual agent with cognitive capabilities. You can stop imagining and start thinking about the repercussions, because this is much closer than you may think.
Read More →Alice, the making of: Behind the scenes with the new AI assistant from Yandex
Did you ever wonder what it's like to build an AI personal assistant, or to bridge the language gap? Hint: There's big data and machine learning involved.
Read More →Keep on Uberin the free world
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Uber is still operating in London, in you case you did not notice. Uber will continue to do so while a legal appeal process that could take a year lasts. What’s more, the fire-fighting statements and apologetic tone adopted by newly appointed Uber top management seem to appease some, including London’s mayor. But to focus […]
Read More →Towards a unifying data theory and practice: Combining operations, analytics, and streaming
We've heard the one data platform to rule them all story before. Could it be this time it's actually true? New Pivotal-backed and Spark-compatible open source solution SnappyData promises so, and we take the opportunity to look inside and around for whys, hows, and options.
Read More →Data lakes going the way of the visual spreadsheet?
If you're a spreadsheet kind of person with a ton of data sitting in a data lake, Datameer's new visual exploration feature may be your thing.
Read More →Insight platforms as a service: What they are and why they matter
The convergence of cloud, automation and collaboration has created a new class of offerings for data driven insights. We take a look at their defining characteristics, featuring analysis from Forrester and commentary from Qubole.
Read More →Raiders of the storm: The data science behind weather prediction
What kind of data and techniques are used to model and predict weather and climate? How do you reduce uncertainty and communicate complexity? Are Harvey and Irma signs of climate change, and is it going to get worse?
Read More →In-memory architecture + streaming data = Digital Twins?
The Digital Twin is a buzzword in its prime time infancy. We take a look at what it is and how it relates to modern data architectures, examining ScaleOut's adoption and implementation and comparing with other alternatives.
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