What Are *Cognitive* Recommendations in Search?

When you think search, you usually think of asking a question and getting an answer. This is usually correct, but sometimes you need more than that.

Consider search in a more specific context:

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Two Benefits of Machine Learning in the Attivio Platform

Some days, it seems that new machine learning applications are popping up everywhere you look in the news. In this author’s opinion, the search market seems to have anointed machine learning as the new hotness. This is a fascinating realization, because anyone who has spent more than a couple years deploying search in the enterprise knows that machine learning has been used and applied in exciting and unique ways for years and years.

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A Case for Sherlock | Getting to Artificial Intelligence

Sir Arthur Conan Doyle’s 1886 fictional “consulting detective,” Sherlock Holmes, was a great mind renowned for his highly advanced powers of observation and reasoning. He was often assisted by Dr Watson, who was unfailingly loyal, if noticeably less bright. At the end of each thrilling tale starring the duo, the anxious reader would always be delighted to hear Sherlock announce that he had solved the latest mind-bending riddle, inevitably characterizing the solution to his trusty helper as, “Elementary, my dear Watson!”

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Cognitive Search Platform vs. Point Solutions: The Gartner MQ

Attivio, the leader in cognitive search, is pleased to have been recognized recently by Gartner as a “Visionary” in their inaugural report on “Insight Engines.” The report offers this definition for what an Insight Engine actually does:

"Insight engines apply relevancy methods to describe, discover, organize and analyze data. This
allows existing or synthesized information to be delivered proactively or interactively, and in the
context of digital workers, customers or constituents at timely business moments."

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The Patented Composite Join in the Attivio Platform

One of the foundational technology differentiators of the Attivio Platform is the ability to perform Query Time Joins of data across both structured and unstructured data. Last year we received our latest patent on an extension of that technology called a “Composite Join” and it has enabled us to deliver some awesome solutions for our customers. 

Attivio Patents

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Policy Management for Regulatory Compliance: How Effective Is Yours?

Policies are rarely something that get people excited, but when it comes to the enterprise, they are the foundation for every risk and compliance solution. More importantly, regulators around the world and in every industry, rely on, and in many cases, require corporations to maintain and enforce policies. Policies are what keep your data private, ensure a fair playing field, and generally keep the world a safe place.

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Security: Crucial Component of Cognitive Search

Attivio has been at the forefront of secure search-based applications for the last 8 years. Using our patented query-time join capabilities we are able to store security information in the index separate from the content and use it to apply security filters automatically to ensure that end users only see the most relevant content they are allowed to see. This allows us to automatically preserve security permissions from sources such as SharePoint, Jive, Confluence and other content repositories. 

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IBM, Salesforce, AI. Wait, what?

USA Today’s Marco della Cava ran an article earlier this week, “IBM, Salesforce join AI forces with Watson, Einstein.”  The artificial intelligence-based partnership aims to, “boost the range of predictive analytics it can provide clients.”  Salesforce’s AI Platform, Salesforce Einstein, which mines data to help salespeople close leads, is being combined with IBM Watson to provide data-based insights for businesses.  The integrated solution is reported to be operational in the second half of the yea

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Machine Learning-based Relevancy

Search engines index millions of pieces of information, structured and unstructured. But simply indexing information isn’t enough to give a user the results they need when they perform a search.

The Need for Relevancy

The goal of relevancy tuning is to help a user get the best results for a given query they are trying to run. Relevance is telling the search engine how to best sort the information in its index to ensure search results match search queries as closely as possible. It’s the process of bringing the most relevant information to the top of the result list.

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All About Machine Learning in Cognitive Search

Recent research shows that over 66% of employees are dependent on search in their daily work. But there’s a problem. Forty-one percent are frustrated with their existing search application.

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