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

The role of the machine learning engineer is being rewritten in real time. AI coding assistants are absorbing parts of the day-to-day, planning and evaluation are eating up more of the week, and the lines between machine learning engineer, AI engineer, and data scientist are blur ...  Show more

Every conversation about AI in data eventually arrives at the same question: which roles survive, and which ones get automated away? Generative AI can already draft SQL, build dashboards, and run exploratory analysis — but it still can't sit with a business stakeholder and untang ...  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. ...