Today the Illinois Technology Association (ITA) launched the ITA Internet of Things Council, a cross-disciplinary effort to drive the growth and use of Internet of things technologies in Chicago and the Midwest.
As we've discussed here before, if the data is wrong, so is the analysis. Here lies a cautionary tale everyone should take note of.
MemSQL unveiled its new geospatial capabilities at Spark Summit East this week. It uses geospatial data as a primary data type, treating it the same as any other class of data and thereby increasing analysis speed and its scalability.
Google Research teamed with Stanford's Pande Lab and produced a paper on using large-scale machine learning for drug discovery. The results they found in testing the use of data from multiple diseases on multitask neural networks to find new cures and treatments is very encouraging.
A new big data alliance has formed around developing products based on a common core of key components in Hadoop that members are calling the Open Data Platform Initiative.
Lots of attention is paid to the promise of data from the Internet of Things, but we can only get that data if broadband can deliver it all and if Things have access to the Internet no matter where they are placed.
This morning StackIQ announced the immediate availability of StackIQ Boss 5, a server automation platform "built specifically for big data and private cloud infrastructures."
The Data Transparency Coalition, an industry organization pushing the federal government towards a complete transformation to open data, has unveiled a new website showcasing issues critical to the industry and Coalition leaders. Its 2015 agenda is aggressive but shows meanigful clarity in securing transparency in government data.
Hortonworks, Aetna, Merck, Target and SAS announced last week the creation of the Data Governance Initiative (DGI) designed to "ensure a common approach to data governance across all systems and data."
While naysayers and worrywarts continue to wring their hands over "too few big data implementations," visionaries are already moving beyond big data projects and into reshaping their entire companies around it. The latest to do so is Ford, who is now "retooling the company around big data."