In recent years, we have seen great advances in machine learning and artificial intelligence that could usher in a new era of progress. In the area of natural language processing, three algorithms have been the cornerstone of this innovation: GPT, BERT, and T5.
- By Troy Hiltbrand
- February 13, 2023
For analytics teams to be successful, they need to learn how to scale their human resources using citizen data scientists. This will require new thinking and new practices.
- By Troy Hiltbrand
- November 28, 2022
As information becomes pervasive throughout our lives and societies, so does the threat of cybercrime. To combat this, the EU has proposed a law to increase cyber resiliency that, if adopted, will be felt worldwide.
- By Troy Hiltbrand
- October 26, 2022
Data governance doesn’t have to be the enemy of innovation. The two concepts can exist in harmony but require some important features to be in place to succeed.
- By Troy Hiltbrand
- October 17, 2022
As big data becomes more commonplace, it is important for data management teams to be able to understand where NoSQL fits into their architectures.
- By Troy Hiltbrand
- August 5, 2022
Analytics organizations that make the effort to support their sales teams can elevate their status within an organization.
- By Troy Hiltbrand
- May 31, 2022
Operationalizing machine learning models requires a different process than creating those models. To be successful at this transition, you need to consider five critical areas.
- By Troy Hiltbrand
- February 14, 2022
If you want to monetize your data, you need to start thinking like a product manager.
- By Troy Hiltbrand
- November 15, 2021