Posts from Joe Lichtman

Transform Enterprise Search with a Knowledge Graph

The ability to search for information and find what you need is a critical knowledge management capability for any enterprise search platform. But too often, search is limited to a quick keyword search and a set of links that leave you trying to figure out what you need. 

What if you could take search to the next level? What if you could get search results that show you how things are connected (or aren’t), enabling you to get the insights you need to make good decisions quickly? 

A Knowledge Graph transforms basic search into a set of relationships, connecting what may at first glance seem completely unrelated, or what would take you days or weeks to connect manually.  

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Cognitive Search: Raise Your Marketing IQ with Customer 360

In earlier blogs about the value of cognitive search for life sciences companies, we’ve focused on the role it can play in accelerating drug discovery and finding new therapeutic uses for drugs that have received FDA approval. The search technologies that help achieve those goals can also make life sciences sales and marketing smarter and more effective.

Cognitive Search for Life Sciences

Cognitive Search Powers Customer 360

A 360-degree view of the customer is something every company — life science or otherwise — aspires to yet few can achieve. The challenges to Customer 360 that life sciences companies face are similar in nature and scope to those of any large enterprise. 

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Harness the Potential of AI for Therapeutic Innovation in Life Sciences

As we’ve explained in many blogs and 5-minute guides, a cognitive search platform should combine AI technologies such as natural language processing, machine learning, and knowledge graphing to deliver a contextualized search and discovery experience without compromising security. Those technologies can turn ordinary search into something much more powerful and transformative for any organization. But in the hands of life sciences companies, it can help deliver drugs and other therapies that lessen suffering and save lives.

AI-powered search for drug innovation

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Cognitive Search Supports Life Sciences Innovation

When life sciences companies develop new drug therapies or biomedical interventions, what typically attracts the most attention is news about the success or failure of clinical trials. But a lot of work goes on behind the scenes before these efforts ever reach the clinical trial stage. In fact, as life sciences companies decide what promising therapies should receive development resources, it’s often rigorous fact finding and research that determines a go or no-go decision.

Cognitive Search for Life Sciences 

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Replacing Your Legacy Enterprise Search? Read This First.

Google has announced that it’s sunsetting the Google Search Appliance. Are you using it? Microsoft is sunsetting FAST. Are you using it?

Here’s the thing. The search market is changing, and the vendors know it. That’s why you are seeing major changes in the traditional search market. More importantly, though, you are noticing that traditional search simply isn’t giving you the information you need.

Traditional search was good, it indexed content and allowed you to perform quick searches. But it’s not that straightforward today. The amount of information you collect and create in your company is growing. It’s stored in multiple repositories and business systems. Some of it is secure and can only be seen by certain people.

Legacy enterprise search

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Managed Services: Making Cognitive Search Easier

Attivio is pleased to announce its Managed Services offering for Cognitive Search and Insight in the cloud. Now you can have the full power of Attivio without having to buy hardware or manage software. Attivio will handle everything for you. With the Attivio Managed Services for Cognitive Search, you get the complete platform hosted on AWS and managed by Attivio.

Attivio Managed Services for Cognitive Search

This new service includes:

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Attivio Completes Certification On Cloudera Enterprise

Hadoop is fast becoming the center piece of a modern data architecture. And Cloudera Enterprise provides the centralized management and robust support that you need to effectively operate Hadoop.

The modern data architecture stores data as is; it doesn't require pre-modeling. It needs to accommodate volume, velocity, and variety including structured and unstructured information. Hadoop does this very well.

Many of our customers use Hadoop. And Attivio's full-platform certification on Cloudera Enterprise will help them streamline their modern data architecture by offering agile data access wherever data resides.

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Ecosystem Partners in the Spotlight at Hadoop Summit 2016

I recently attended Hadoop Summit 2016 where not surprisingly there was a lot of conversation about topics other than Hadoop. For example, the importance of ecosystem partners to any Big Data solution.

It was certainly on my mind as we had just published a post about Attivio’s role in the EMC Big Data solution. At the Summit, I sat down with Carey James from EMC and Tony Fisher from Zaloni—another partner in the EMC solution—for an interview with John Furrier of The Cube.

It was a great conversation. Carey pointed out that although data scientists do spend a lot of time on analytics, they also spend just as much or more time "wrangling" their data environments and trying to find data and move it where they need it. And that's why EMC turned to Attivio and Zaloni. Check out the rest of the discussion.

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Hadoop Earns Its Enterprise Stripes

Atlas Data Governance Delivers "Last Mile"

At Attivio, we work with some of the world's largest banks and manufacturing companies. As they invest more in Hadoop, they also require more from it. They recognize its value in dealing with extremely large and diverse data sets. But they're also looking for enterprise features, and data governance is often at the top of the list.

When we and a number of our customers joined Atlas—the Hortonworks data governance initiative—we brought our unique capabilities around data discovery and dealing with unstructured data. Many companies have chosen Hadoop as their new data platform and need a way to integrate their legacy data sources. We can connect the Hadoop ecosystem with external legacy systems.

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