A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

"Joining Ateko and the Bell family marks an exciting milestone for SDK. Our shared commitment to technical excellence and solving complex data challenges is now part of a larger mission. Together, we ...

In the fast evolving world of data engineering, only a few professionals manage to stand out for both technical depth and the ...

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...

What if you could create content that’s not only timely and engaging but also practically builds itself? In an era where attention spans are fleeting and trends shift in the blink of an eye, the ...

Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.