Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

Since November 2022, it has become obvious that generative AI is going to impact most knowledge worker roles. An unexpected outcome was the disruption that GenAI has brought to the role of data ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare. Until recently, data scientists ...

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What’s the difference between a data scientist and a data engineer? Quick access to the data-driven insights keeps the world’s best companies at the top of their game. But that data doesn’t just ...

Meet the people who can coax treasure out of messy, unstructured data. by Thomas H. Davenport and DJ Patil When Jonathan Goldman arrived for work in June 2006 at LinkedIn, the business networking site ...