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
As you build your data science program, don't ignore that there are people working to disrupt your plans. Here are three attack vectors they can use and how to protect your data.
- By Troy Hiltbrand
- February 7, 2020
The upcoming decade will see revolutionary changes to business across industries. Much of that change will be driven through analytics; 2020 will be a launching point and will have a heavy focus on augmented analytics.
- By Troy Hiltbrand
- December 11, 2019
Refined and labeled data is imperative for advances in AI. When your supply of good data does not match your demand, look to synthetic data to fill the gap.
- By Troy Hiltbrand
- November 22, 2019
With the advent of algorithmic business, data scientists are a critical resource for the organization of the future. Increased demand creates a tight labor market, forcing companies to look inward to develop their own data scientists.
- By Troy Hiltbrand
- October 11, 2019
Advances in technology make it possible to deliver your analytics in a new way using natural language generation.
- By Troy Hiltbrand
- September 17, 2019