Learn what to look for in a data integration platform that will meet your company's unique needs.
- By Troy Hiltbrand
- May 28, 2021
Each data and analytics organization needs to first determine what their core purpose is and then use that North Star to drive their projects, plans, and resourcing.
- By Troy Hiltbrand
- February 8, 2021
As we move into 2021, we will see increased integration of neural networks into software that runs our lives, enabling greater capabilities in spatial and sequential learning and making it tougher to differentiate between what is real and what is fake.
- By Troy Hiltbrand
- December 14, 2020
As information becomes the primary power source for the digital economy, analytics teams need to evolve to leverage data stories.
- By Troy Hiltbrand
- October 23, 2020
Our brains have the natural ability to see clusters of like objects and identify outliers. With unsupervised learning algorithms, computers can start doing the same.
- By Troy Hiltbrand
- September 8, 2020
The current environment is changing rapidly, causing artificial intelligence algorithms to stumble. Identifying new sources of data using text analytics might provide a more forward-looking strategy.
- By Troy Hiltbrand
- June 15, 2020
When building your data and analytics program, you must decide whether you need a data warehouse, a data lake, or both. Understanding the difference is the first step.
- By Troy Hiltbrand
- May 1, 2020
Artificial intelligence is on the horizon and is set to change the way we work. Who will be affected and what skills can you develop to insulate yourself?
- By Troy Hiltbrand
- March 23, 2020