Data science has made rapid advances in automated understanding of spoken or written text. It’s now possible to take mountains of data from customer feedback, for example, and gain high-level insight into whether a business might soon experience a retention problem. But a new challenge will involve training computers to achieve the same level of ...

In the technology world these days, when someone says that it’s time to shift left, they usually aren’t talking about lining up their friends for a selfie shot. Instead, shift left is an approach that places development tasks, such as monitoring, testing and automation, earlier in the digital workload lifecycle. With the recent introduction of ...

It’s like celebrating a birthday with a huge, nicely decorated cake, but the only view of it is one lonely slice. That’s the feeling that many companies have when trying to visualize and use large data sets in the enterprise. But one four-year-old startup is attracting customers by enabling big-picture views of big data without ...

PowerAI, announced last year by IBM Corp., is geared for companies who might appreciate all that Watson (IBM’s cognitive computing and artificial intelligence supercomputer) has to offer. But they still desire a software toolkit that allows them to build an impressive deep learning framework. They don’t want to do all the work involved in assembling ...

When executives from the data management and storage company NetApp Inc. meet with customers, some common themes usually emerge. Companies are trying to modernize existing infrastructure, looking to build the next-generation data center, or they want to harness the power of the cloud. But behind these goals lies an undercurrent of unease, fueled by uncertainties ...

It seems as though the technology industry has been trying to bury Big Iron (a.k.a. the mainframe computer) for the past 30 years. The demise of Big Iron was the premise behind Sun Microsystems Inc. in the 1980s, but Sun is basically gone now (absorbed by Oracle) and the mainframe keeps rolling along. In fact, ...

When it comes to managing data in the enterprise, words like “cleansing,” “wrangling” or “preparation” are frequently used to describe the work necessary to place information in the right shape and form so it can be effectively used. If this sounds like a lot of work, it is. So IBM has introduced its Integrated Analytics ...

One of the key principles in today’s enterprise data “lake” repository is that real-time data integration streaming is needed from multiple sources. It takes specialized tools to capture data in this environment, and Attunity Inc. has built its reputation as one of the vendors that operates in that space. The challenge in data integration has ...

If the definition of a swamp is low, uncultivated ground saturated with water, then a data swamp is found in enterprise architectures that are inundated with too much information to handle. The push is on not just to manage the data-saturated enterprise, but to get information flowing in ways that will add business value across ...

There’s hybrid cloud, hybrid clusters, hybrid cars, and even hybrid theory (crossing varieties of fruit). But the mention of hybrid data will draw quizzical looks and prompt some head scratching. Actian Corp., a Silicon Valley data integration and management company, has big plans to change that. “It’s a shift that people aren’t talking about. We’re ...