Entries by Gavin

Increasing Processing Speeds with new Memory Storage

One of the biggest pitfalls of our data collection and analysis is our storage capabilities and processing time. We’re limited by what our machines can handle. And though we’re working with more powerful machines than ever before, we still need to break barriers to access even faster processing and larger storage capacities. Fortunately for us, […]

Is Artificial Intelligence Dangerous? Our Thoughts on the Matter.

If you’ve followed us for some time, you’re well aware that we like to discuss the future of technology, Artificial Intelligence, data, and analytics. And what is at the forefront of thought concerning AI more often than this one question: is artificial intelligence dangerous? Many thought-leaders, like Stephen Hawking, think AI will be the death […]

EPA Case Study

Working with various research scientists, ChalkLabs developed a novel solution to help EPA facilitate coordination among its various intramural and extramural research activities. For the first time, the scientists were able to visualize their programming laid out in an orthogonal map allowing them to compare and contrast projects from disparate programs and identify overlaps and […]

Greater Spokane Incorporated Case Study

ChalkLabs has worked with regional chambers and municipal institutions to apply advanced analytics enabling Economic Development.  By integrating PushGraph® into individual regional selection criteria, ChalkLabs is able to design targeted recruitment strategies that support an organization’s efforts to identify key drivers for relocation or growth within a community or region.  The ChalkLabs Economic Development Solution […]

How Does Big Data Improve Utilities?

The utilities industry deals with a lot of data. From infrastructure to customer usage, and fgrids to weather monitoring systems. But how can the industry use that data to improve products and services? What started as manually reading meters has changed as technology has evolved. Fortunately, the collection of data has become much more sophisticated. But […]

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 […]

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 […]

Pushgraph® Overview and Features

At ChalkLabs we’re all about powering Knowledge Discovery. We know that data collection doesn’t matter unless businesses, educational institutions, disease research foundations, and government organizations can organize, visualize, and analyze that data. That’s why we focus on more than platforms; we focus on solutions to real-world problems. Here’s a quick Pushgraph® overview.  At its core, […]

USDA Case Study

In 2013, ChalkLabs developed a novel research portfolio management solution for the National Institute of Food and Agriculture, a research arm of the US Department of Agriculture. This solution allows directors, national program leaders, national program staff, and communications specialists the ability to visually identify latent relationships, identify overlaps, and identify gaps within the grants […]

WSU Case Study

In 2016, Washington State University (WSU) contracted with ChalkLabs to build a solution for higher-ed. This new solution will provide WSU with a competitive advantage in amongst their peers in many different areas including human resources, research programming, and competitive intelligence. Feedback from users has been excellent so far in regard to the research outputs […]