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 ...

Making sense of the data. It’s increasingly true across sectors that structured, actionable insights from real-world results power decision making. Small startups, big corporations and even social ...

The data team must be ready to respond quickly to urgent events and have rapid response protocols in preparation for any expected or imminent news, in order to create as much impact as possible. In ...

Forbes contributors publish independent expert analyses and insights. I help leaders bridge the gap between data and business impact. When I taught my first class in the MS in Analytics Program at ...

In today’s AI gold rush, the startups that win aren’t just the ones with the best models—they’re the ones with the strongest data foundations. As AI-native companies race to productize intelligence, ...

Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles is an ongoing challenge, as ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

MIAMI VALLEY — There are hundreds of data centers operating across Ohio. The facilities power the internet and Artificial Intelligence (AI). There are at least two more of them on the way to the ...

HSBC is one of the world's largest financial institutions, serving more than 40 million customers globally. One of its largest divisions, Wealth and Personal Banking, supports individuals, families, ...

Data is critically important to almost any business – it’s the lifeblood that makes an organisation function. But managing, leveraging and realising the commercial advantage of data is also hard. If ...

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.