Some days, it seems that new machine learningapplications 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.
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."
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.
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.
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.
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
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.
If you’ve been following the Attivio blog, you’ll know that we have not been shy about sharing our ideas on what we see in the Big Data market right now. But in this post, our CEO, Stephen Baker, shares our predictions for the industry in 2017.
Time will tell how accurate these predictions are, but these are the trends we see bubbling up as we talk to customers, analysts, and others in the ecosystem.