National Institutes of Health Case Study

In 2009, ChalkLabs was hired to help the National Institutes of Health (NIH) analyze their $26 BN portfolio of grants. The NIH wanted to learn more about which institutes were performing what types of research and if there were gaps or overlaps in funding, research, and personnel. They wanted to do this in a way that captured the semantics across subject areas regardless of the title of a given grant.

In order to accomplish these goals, ChalkLabs created a novel portfolio analysis tool whereby administrators, analysts, or researchers can quickly search, navigate, cross-reference, visualize, and export their large-scale data analyses in a web-based, real-time, easy-to-use, intuitive fashion. Rather than simply searching for keyword matches, our portfolio analysis finds thematic and semantic similarities, allowing users to access a broader and more thorough view of their data.

The Beginner's Guide to Predictive AI

A Beginner’s Guide to Predictive Artificial Intelligence

As you may know by now, many businesses have developed uses for AI (artificial intelligence). Therefore, the implications of AI for the future of healthcare, education, and learning, and robotics (not to mention space travel) are far-reaching and exciting, but it can still be a difficult topic to understand. That’s why we’ve put together a quick guide to Predictive Artificial Intelligence or, AI that can analyze large chunks of data and predict trends and events.  Because we’re big fans of data, analytics, artificial intelligence, and predictive analysis.

What is Predictive Artificial Intelligence?

Basically, Predictive AI is simply artificial intelligence algorithms including pattern recognition, predictive modeling, and advanced data analytics.

How can we use Predictive Artificial Intelligence?

Because there’s no limitation to the uses for predictive AI, we’re only going to list the big ones:

  1. Storm or Weather Predictors
  2. Behavior Recognition
  3. Healthcare, including mental health assessments
  4. Disease outbreaks
  5. Predicting life-span and likelihood of disease/illness

You can read more about these and others by viewing this infographic from Futurism.

AI and predictive analytics can be used to improve the quality of life for everyone in the future, but it’s being used right now in big data and business analytics. Give us a call (812-250-8649) and we can show you how we’re using predictive analytics in our Pushgraph® platform.