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 ...
Shivanku Misra is an AI expert, currently serving as Vice President overseeing enterprise advanced analytics and AI initiatives at McKesson. In the rapidly evolving field of data science, the success ...
Data is becoming an increasingly mission-critical asset for organizations. How you collect it, move it, clean it, and analyze it can have a real and lasting impact on the bottom line. Organizations ...
After years of making sense of complex information, data scientists looking to move into leadership quickly find that their career of parsing information into digestible insights isn’t over — but it ...
Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...
A guide to the roles and responsibilities of the data migration team Your email has been sent Companies of all sizes and industries can benefit from having an internal data migration team with the ...
The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weeklyu Developer Network written by Jesse Anderson in his role ...
Data science increasingly shapes our world, from the news we read to who is selected for a job interview to how long someone is sentenced to prison. As the amount of data we collect and analyze grows ...
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.
Nearly 800 sensors feed data back to an operations center that helps the Oracle Red Bull crew make split-second decisions. By Kristin Shaw Published Nov 21, 2025 2:00 PM EST Image: Red Bull Get the ...
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