Artificial intelligence and machine learning (ML) have become very popular recently due to their ability to both optimize processes and provide the deep insights that push enterprises and industries forward. In fact, 68 percent of respondents in a recent 451 Research Report, Accelerating AI with
Data is flowing from mobile devices, social networks, and every digitized and connected product, machine and infrastructure. And all this data has potential for insight. Companies who are becoming data-driven are propelling themselves into the cognitive era. As Cognitive Businesses they will
Researchers at the University of Montana were interested in preventing epilepsy in patients suffering from traumatic brain injuries. As they began to gather data, they realized how crucial it was to be able to analyze this massive amount of data in a short period of time.
The Internet and our social feeds are full of blogs, news and articles on the strides that the public sector is making with big data and analytics. This Public Sector News series skims the wires and pulls out highly interesting articles that provide the fodder for thought and debate.
Chief data officers are leading the charge to transform their organizations to be data-driven and capitalize on the tremendous opportunities data and analytics are creating for data leaders. Hailing from a variety of technical and analytical backgrounds, CDOs have the unique opportunity to shape
This datagram quickly explains the nine levers that enable organizations to create value from an ever-growing volume of data from a variety of sources -- value that results from insights derived and actions taken at every level of the organization.
I will be attending InterConnect 2013 in Singapore from 9 to 11 October where big data analytics will be central to discussions. Earlier this year when Tata Consultancy Services released The Emerging Returns on Big Data – A TCS 2013 Global Trend Study (available with registration), they identified
Life is stubbornly qualitative on every level. But we wouldn’t be modern and scientific if we didn’t try to constantly reduce it to numbers that we can calculate, manipulate and extrapolate.
Even when we’re trying to parse the mess into particular entities and interactions that we can analyze
Organizations in the petroleum industry are no strangers to large volumes of data. With the right technology solutions, these companies can move beyond traditional real-time monitoring to more agile real-time prediction. By rapidly analyzing incoming technical and business data—and applying that