Yesterday at the Bio-IT World Conference in Boston, Israel-based SQream announced the launch of its GenomeStack which the company says "enables the first-ever querying of a large number of samples simultaneously."
CenturyLink recently announced its acquisition of Orchestrate which adds new Database-as-a-Service (DBaaS) capabilities to CenturyLink Cloud and an experienced data services team to CenturyLink's Product Development and Technology arm.
Today Teradata announced a significant expansion to QueryGrid with the addition of six new integration features to "orchestrate the processing of data across an analytical ecosystem."
Big data's use in the 2016 election will be "a bit scary and more than a little creepy," says David Gewirtz in his post in ZDNet.
The report estimates that the number of devices connected to the Internet will be up from 15 billion today to 50 billion by 2020 and that the new connections will generate around $8 trillion. What we're facing now is extreme data with little useful filtering. Harnessing the IoT will require much more than just connecting everything and bracing for the deluge.
This move underscores two prevailing trends: the increasing importance of omni-channel and the speed of which big data analytics are becoming the backbone of almost all software.
What makes this contest in particular interesting is that the organizers are stretching beyond the expected applications in agriculture, construction and renewable energy by also deliberately inviting new services and products in "forward-thinking segments such as big data, cloud computing, crowdsourcing, data visualization, mobile applications, and more."
Successful efforts abound showing us new ways to leverage large data sets to answer complex problems.
It's tax day! Yeah, I know, I don't like paying taxes either but here we are and those returns have to be filed. But once you've done that, you can look at the following data on the relationships between accountants, taxpayers, legislators, and lobbyists surrounding tax day. More data is always better right? We may not like what we find but at least we will know where we stand.
As expected, machine learning is making its way to the masses. But first it's coming to developers free of any need to master statistics first. And, boy, is the field getting crowded with giants.