#127 How Data Scientists Can Thrive in Consul...

Almost every AI agent demo lands in roughly the same place: it works most of the time, looks remarkable, and then fails in a way no one anticipated. Self-driving cars hit this wall a decade ago, and agents are running into it now. For data and AI teams, the question is no longer ...  Show more

The data field has changed shape faster than almost any other. The role that used to be a statistician became a data scientist, became an ML engineer, and is now morphing into AI engineer. Consulting firms are hiring fewer entry-level analysts and more vibe-coders who can ship AI ...  Show more

Data scientists and engineers don’t always play well together. Data scientists will plan out a solution, carefully build models, test them in notebooks, then throw that solution over the wall to engineering. Implementing that solution can take months.

Historically, the d ...

Much like a roller coaster, 2020 was full of many loops, twists, and turns. From accelerated digital transformations to expedited migrations to the cloud, you were asked to do it all— often with far less time and resources. Through it all, The Data Chief was right there ...

For years, businesses have prioritized academic background and domain expertise when searching for top talent, matching current skills to job reqs with little regard for candidate aptitude. But according to Iwao Fusillo, Chief Data and Analytics Officer at General Motors, this ...

The Smart Cube is a global provider of research and analytics solutions focused on CPG, retail, and life sciences. Nitin Aggarwal, Vice President of Data Analytics, discusses how to use data analytics to drive growth, including featured case studies/examples in retail and CPG. ...