In today's competitive business landscape, data has surpassed the meaning of just a word. Data is now the center of growth and innovation for an organization. However, simply possessing data will not ...

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.

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both. Machine learning (ML) workloads ...

Defines, executes, and assures subsea pipeline integrity during offshore inspection campaigns, converting survey data into engineering assessments, risk updates, and repair/mitigation workpacks.

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

It’s always tempting to say that things were simple in the old days. But speak with any surviving COBOL or Fortran programmer, especially those who had to deal with punch cards or rotating drums, and ...

Everywhere you look, business leaders are trying to stay ahead of the AI curve and find ways to use these new technologies to drive real impact for their business. But they’re finding that it’s ...

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...