Posts Tagged ‘Recommind’

A Look At The State of Information Governance

igiThis month saw the release of the Information Governance Initiative’s Annual Report for 2014, a study aiming to report the perceptions of information governance practitioners, providers and analysts as well as advance information governance as a concept, market and operational model.

The IGI consortium and think tank was founded by leaders in the information governance field and supported by vendors with semantic tech and text analytics backgrounds, including EquivioHP/Autonomy, OpenText, Recommind  and Zylab. About 500 respondents provided input to the survey.

About 80 percent of these respondents agreed that IG included risk- and value-focused activities, with the focus, however, on risk prevention, with efforts such as records information and management, information security and compliance as the top-marked concepts. That said, more than 50 percent of respondents in each case include among IG’s facets big data, business intelligence, and data science – and IGI believes that the value side will continue to grow, given the significant recent advancements in data analytics and their continuing spread through the enterprise. Given how far IG’s facets extend, “IG should serve as the coordinating function for all of these activities, tying them together into one humming, efficiently functioning operation.”

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What’s The Word On Enterprise Search?

Photo Credit: Sean MacEntee/ Flickr

Photo Credit: Sean MacEntee/ Flickr

Context is king – at least when it comes to enterprise search. “Organizations are no longer satisfied with a list of search results — they want the single best result,” wrote Gartner in its latest Magic Quadrant for Enterprise Search report, released in mid-July. The report also says that the research firm estimates the enterprise search market to reach $2.6 billion in 2017.

The leaders list this time around includes Google with its Search Appliance, which Google touts as benefitting from Google.com’s continually evolving technology, thanks to machine learning from billions of search queries. Also on that part of the quadrant is HP Autonomy, which Gartner says is “exceptionally good at handling searches driven by queries that include surmised or contextual information;”  and Coveo and Perceptive Software, both of which are quoted as offering “considerable flexibility for the design of conversational search capabilities, to reduce the ambiguity of results.”

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Semantic Tech’s Growing Influence In The E-Discovery Market

Photo Courtesy: Flickr/srqpix

The e-discovery market is a growing one, with Gartner this year estimating electronic data discovery software sales will reach $2.9 billion by 2017. The same research firm just recently positioned where vendors fall in that space, with the release of its Magic Quadrant for E-Discovery software.

As recounted here, semantic technology is becoming an increasingly important part of the package; semantic inventory tools, for example, allow for better understanding the vocabulary of litigation and involve repetition in the process of looking for the relevant evidence.

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How to Make Machine Learning Work for Your Business

Dan Woods of Forbes reports, “It’s easy to get caught up in the mystique of machine learning. After all, what’s not to like about the idea of algorithms sucking up and sorting through the data detritus of our companies’ back alleys like a Roomba Sweeper Vac? The reality is a bit more complex. Like any ‘breakthrough’ technology, machine learning involves some forethought and discipline before being let loose in the enterprise. I recently spoke with Bob Tennant, CEO of Recommind, a San Francisco-based unstructured information management and analysis company, seeking a few points of advice about where to use machine learning most effectively.” Read more