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
Now is a great time to find data science talent by expanding your search from the mainstream to the periphery.
- By Troy Hiltbrand
- October 14, 2021
Finding the right data science tools is paramount if your team is to discover business insight. Here are five things to look for when you search for your next data science platform.
- By Troy Hiltbrand
- August 9, 2021
Business intelligence engineers are responsible for building out the architecture and infrastructure that meets the organization's needs. Here are five key areas to evaluate when trying to determine which business intelligence platform is right for you.
- By Troy Hiltbrand
- July 9, 2021
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