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.

Read more

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.

Read more

3 Questions for Matt Maccaux of Dell EMC

Matt Maccaux leads Dell EMC’s global Big Data Practice and he’s one of the featured speakers in our upcoming 2/22 webinar, Building a Modern Data Architecture.

We recently caught up with Matt and asked him 3 questions about his work in Big Data Services.

Read more

What’s Next After Self-Service Analytics?

Accelerate Data Preparation for Agile AnalyticsOver at least the last decade, we’ve seen a steady rise in the demand for self-service BI and analytical tools.

Read more

3 Questions for Mike Moreno of Cloudera

Mike Moreno is the Sr. Partner Marketing Manager at Cloudera, and he’s one of the featured speakers in our upcoming 1/31 webinar with Forrester Vice President and Principal Analyst, Brian Hopkins.

We recently had a chance to catch up with him and get his take on the latest trends & happenings in Big Data & Hadoop.

Attivio: What challenges are you seeing among Cloudera clients?

Read more

From Storage to Insights: Mining Business Value from Information Archives

In the mid twentieth century, author (and librarian) Jorge Luis Borge published a short story called The Library of Babel. The story describes a huge library of many hexagonal rooms, each of which is filled with books. The problem was the books seemed to be nothing but pages of random characters. Readers could make no sense of it.

Many large organizations find themselves in a similar predicament with their digital archives. They have plenty of valuable information. But how to unlock its meaning, relevance, and insight?

Read more

What is the Point of a Modern Data Architecture?

Good question. What is the point? The point is to create measurable business value from enterprise data. Of course, before measurable business value comes insight. The Modern Data Architecture (MDA) recognizes that insight can lie hidden in data of all types—structured or unstructured, messy or modeled, historical or realtime.

 

Read more

Have You Thanked Your Data Steward Today?

The other day I Googled, “the problem with a modern data architecture.” Of course, at Attivio we’re big evangelists for an MDA, but it’s always interesting to see what the contrarians have to say. There were over three million returns, but none on the first two pages said a word about problems. Lots of articles about how to develop an MDA or how to optimize an MDA or why you had to have an MDA. You get the picture.

Read more

Attivio Adds Financial Services Certification from Hortonworks

As I’ve mentioned in prior blogs, the biggest use cases we see in Hadoop these days come from the risk and compliance functions of large banks. Initially, many banks and other financial services institutions (FSIs) adopted Hadoop out of sheer necessity despite its early immaturity on the governance front.

Read more

Chief Data Officers and the Challenges of Big Data

Once Chief Data Officers have identified, confronted, and hopefully overcome the challenges at the bottom and in the middle of the Big Data stack, what’s next?

Read more

Pages

Connect

Tweet This

Cognitive Search & Insight Blog