Integrating an organization’s internal data is challenging. It requires strategic vision by the organization’s leadership and an open mindset on different levels. In our experience, establishing such a solution has a greater chance of success if stakeholders quickly and easily notice the benefits. Small pragmatic initiatives with few data sources that solve a limited number of use-cases, can demonstrate how things can improve for the whole organization.Read more
Displaying articles related to "Use cases"
One and a half years ago we started to work with Amgen to help them improve the way they search and retrieve research data. They were looking for a solution that could aggregate and interlink their internal research data, enrich it with public data and provide an appealing, user-friendly interface for end-users.Read more
Anyone who’s ever been involved in data integration will confirm: integration projects are usually cumbersome and very time- and resource-intensive. Those facts alone take the wind out of the sails of many a company. Most, in fact, don’t even begin data integration projects.
But it doesn’t have to be like that. Integrating your first datasets into our semantic platform DISQOVER, happens in just 3 days. There’s no need for long trajectories! Within 3 days, your first internal datasets are searchable and you’re even trained to add additional datasets yourself.
Here’s how it works.
Semantic search has been on the radar for quite some time now. And truth be told, many have talked the talk but few have been seen to walk to walk. The challenge? Semantic search has been used mainly by academics and experts, but there simply weren’t enough workable solutions accessible to common users. But that’s all changing now with our semantic search platform DISQOVER.
How we do this, can be discovered in our latest white paper, co-authored with Dr. Bhanu Bahl (Director at Harvard Catalyst | The Harvard Clinical and Translational Science Center), Dr. Filip Pattyn (Scientific Lead at ONTOFORCE) and myself.Read more