Contending with unstructured data is no longer a priority reserved for the most well-financed, IT-savvy organizations, like Google and Facebook. As the world’s data continues to increase at nearly ...

Here’s my summary of predictions for big data analytics and cognitive computing from the International Institute for Analytics (IIA), Forrester, IDC, and Gartner. Big data analytics will be ...

More importantly, it provides those benefits for the most repetitious, vital analytics and application prerequisites, at scale, in time to take advantage of the rapidity with which big data is ...

One perspective all the players can agree on, however, is that cognitive computing is a transformative technology. “There will be a lot of walking dead in the big data space in the next 18 ...

Cognitive computing is AI that feeds on big data. In this new AI era, automated systems derive intelligence by feeding big data into machine learning and other statistical algorithms ...

An HPC + Al + Big Data architecture is the foundation of the fusion computing services framework. This framework represents a convergence of the HPC and the data-driven Al communities, as they run ...

Cognitive computing pillars that are shared with AI include the ability to learn and be adaptive, being probabilistic, and using big data from diverse sources. Characteristics that are specific to ...

They have backgrounds in enterprise search, text analytics, CRM, big data, machine learning, statistics and Web search. Together, we have begun the process of articulating the core characteristics of ...

Now, it is necessary to begin integrating emerging technologies like big data, blockchain and cognitive computing into our daily tasks. Why? Because new methods of doing familiar things can bring ...

IBM sees cognitive computing as the new frontier ... computers to recognize patterns and reason about the data on hand. Today’s computer architecture isn’t well-suited to recognizing sometimes ...