Many data teams struggle to prove the business impact of their work. Traditional metrics such as uptime or throughput don't resonate with executives, making it hard to justify investments in ...

Enterprises are adopting agile, responsive data processes to support trusted, reliable implementations of AI and automation, according to new research from global AI-centered technology research and ...

Companies embrace DataOps software for flexible, reliable data operations to support automation, observability, business goals, new research says Enterprises are adopting agile, responsive data ...

Data is both the fuel and the friction. In today’s digital enterprise, data is both the fuel and the friction. Every business relies on data to make informed decisions, personalise experiences and ...

As enterprises keep leveraging artificial intelligence across business operations, it’s important to remember that AI efficiency is dependent on the framework it’s placed in. AI doesn’t work alone — ...

Stonebranch Universal Automation Center™ empowers DataOps teams with enterprise-wide control, orchestration, and observability across data pipelines in hybrid IT environments. Stonebranch, a leading ...

As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...

Nagesh Nama, CEO, xLM. Nagesh Nama is a seasoned technology executive with over 30 years of experience in life sciences. My journey into industrial data operations (DataOps) began over two decades ago ...