Make no mistake, Twitter is a big data company and it's looking to get even bigger. Hence yesterday's acquisition of Gnip, added to about four or so other similar acquisitions earlier. The end goal: Make Twitter a $100 million big data business.
To the uninitiated, CPOE sounds like a disease and to hospital administrators it probably feels like one too. Depending on who you are talking to, CPOE means computerized provider order entry or computerized physician order entry. In essence, it's that data doctors are required to enter in a patient's electronic health record, or EHR, about the care they delivered.
As further testament that big data is going mainstream, news stories are popping up everywhere on how different industries are using big data. A few examples are stories this past week alone about big data use in health care, agriculture and the public sector. For better or worse, big data is here to stay and it's either here or coming to an industry near you…
Even the most accomplished experts in the big data field have been taken aback and completely overwhelmed by how fast and drastically big data is changing our lives. While change has always been the only constant, change this constant and on this scale is a completely new experience.
Once a quiet and often misunderstood esoteric node in the IT realm, big data has now thundered past its keepers and it's running for the mainstream. But it is not escaping only with the aid of startups and disruptors; data is moving ahead under its own steam.
For a while now, big data has steadily become the root of decision-making in every aspect of business. It should come as no surprise then that its emerging ubiquity would move it to feature rather than standalone status--that it would become part of all software. Movement on that front is already in evidence.
There is a newly forming parallel universe in which analytic teams have their own data warehouses, separate but parallel to IT's. Should IT step up its game to provide better tools for business analysts, democratize data for all, and protect their own turf in the process? Or, should IT welcome the opportunity to offload the expense from their budgets and reduce the headaches to their already overworked staff?
Big data tools give us the ability to collect and analyze large amounts of data. However, that data is often incomplete despite its size. The result is that we're trying to put together the big picture with more than a few puzzle pieces missing.
Efforts in artificial intelligence are ongoing and making unprecedented headway. Several breakthroughs were demonstrated at CeBIT and most were breath-taking, made more so by the knowledge that these are not far-future fantasies but near-future possibilities. Take a look at some of the things presented at CeBIT and coming down the pipeline now…
Meanwhile, if you're still holding on to the notion that big data is a trend, this is your cue to rethink the situation.