Despite the Big Data fever sweeping the IT world, applying and operationalizing Big Data actually a bit of work required to pull off.
A quick look around at tech news and trends reveals a mixed bag when it comes to SOA—often thought of as too complex, too demanding. As enterprises and government search for a pathway from legacy to cloud, however, the building block nature of service oriented architecture is making a comeback – even in the military.
Between the buzz around the “Google Glass” project and the overnight success of the Bluetooth-powered watch, “Pebble,” the world is alight with the idea of wearable technology. Why would one want to wear technology when we have smartphones? Because the way we interact with the world changes based on where the technology lives.
A small Iowa city of about 58,000 is using cloud computing and business analytics software to more accurately identify water usage patterns to conserve water. It’s just one example of how advanced analytics technology is now better, faster and more accessible, particularly to the midmarket.
Looking to add a little oomph to your enterprise? You might have to spend a little. The trick is spending wisely. A recent global IDC survey has shown that nearly 20 percent of companies have uncertain spending plans, and those who have cash to spend are wary of spending it. However, the very same group of companies which are willing to spend on services are looking to spend on tech that can make an impactful difference on company business.
The Obama administration has unveiled a new plan to spend $200 million “in new R&D investments” though federal programs, each of which carries their own agenda on how to integrate and leverage their big data investments.
You’re wondering — how does this play into the enterprise? The Obama administration actually has an answer for you.
If big data analytics can unravel the mysteries of the universe, what mysteries can it solve in the enterprise?
IBM’s work with a multinational consortium to develop software and technologies needed to operate the world’s largest and most sensitive radio telescope sets out to answer these heady questions. The results, say researchers, aim to not only make sense of the universe’s history, but also help solve organizational challenges of data proliferation.