The organization that can quickly extract insight from their data AND leverage the data achieves an advantage. Rick Clements, IBM's director of marketing for Big Data says, "we are moving from the notion of big data to fast data, where what really matters is speed...and real-time actionable insight
Ernst & Young (EY) uses IBM BigInsights platform to leverage big data and analytics to combat fraud. By running test queries across multiple transactions they can identify fraudulent transactions and mitigate risk for its customers.
There is a human tendency to unthinkingly and uncritically accept the spurious correlations that big data reveals. Detangling the truth from the spurious demands critical thinking and relentless skepticism.
Open sourcing of all climate data would give humanity a continuously updated baseline environmental intelligence metric that could be used to track deterioration or improvements in key areas (air, water, pollution, soil) over time.
The need for a data scientist is all the rage right now. At every marketing conference I go to, companies are clamoring for their skills, but the supply and demand is not coming to the needed equilibrium. We are faced with the choice of continuing to wait, or to employ a solution that is already at
The gap between the demand for analytics talent globally and the supply of talent is one of the key obstacles to big data implementations across all organizations. In a global study of business and IT leaders conducted by IBM Institute for Business Value, 1/3 of respondents cited the lack of
Even the experts can have a tough time spotting the early stages of many cancers and other illnesses. That difficulty can cost lives, because the earlier symptoms are detected, the sooner these conditions can be eradicated through drugs, surgery and other treatments.
The advanced medical imaging
Sri Viswanath is a master inventor in IBM Big Data & Analytics Open Technologies. He is deeply interested in the renaissance taking place in analytics, building on top of emergence of big data and the development of technology to make it applicable in a wide variety of spaces. Sri joined us
IBM’s recent addition of big data and analytic services into Bluemix will empower today’s application developer with an unmatched pool of resources. It will drastically reduce the time and cost for developers to get an analytical application off the ground and open new doors for immediate trial.
Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
Today, the Wall Street Journal reports that more than 30 billion devices will be wirelessly connected to the Internet of Things by 2020. Machine data generated in the IoT comes from thousands of sources with applicability much broader than retail. Some narrowly define machine data as logs or sensor
Anybody can be Nostradamus, and I don't mean that in a good way. Just like that medieval French mystic, you or I could easily spend our lives spinning grandiose, alluring and unverifiable visions of the future. If you swirl in just the right amount of symbolic apocalyptic hokum, you can never be
Having been around the big data space for a number of years, you hear a lot of questions that revolve around “What do I do with this data that I’ve stored in Hadoop?’ or, more importantly, “How do I use this data that is now sitting here?” The fact is, there's a lot of hype surrounding big data,
Let me begin with a story from my childhood. I grew up in India and, back in the early 80s, when Indian telecoms did not have a direct dial for international calls. My family used to call my uncle who was studying at M. I. T. and the call process was fairly complicated: we would call an
Innovation and growth. Those are the first two responses given when IBM speaks to executives about their priorities in dealing with data. Organizations are facing challenges in managing the scope and large-scale transformations that they need to deal with rapid data expansion. This new reality