To build apps serving the masses, companies must develop resilient systems that handle all the data efficiently and use it to ...

Data warehousing is a complex and multidisciplinary ... Team has to be guided by Information Architecture team for modelling the data . Develop and enforce common standards and best practices ...

At the Qlik Connect 2025 conference in Orlando, Florida, this week, data analytics leader Qlik threw down a gauntlet to ...

In an era when data fuels innovation and AI defines competitive advantage, large-scale cloud data platform modernization is at the forefront of enterprise strategy. He is a Senior Engineering Manager ...

American political instability leading to monthly "will they, won't they" back and forth about tariffs, is looking to begin to affect the overall tech sector, potentially impacting the progress of AI ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value. In “Data trust and the evolution of ...

See how Snowflake’s blueprint for a collaborative data-sharing resource could change the UK’s research and public services ...

Praneeth Reddy Sudalagunta, PhD, discusses a novel generative artificial intelligence pipeline developed to help with the understanding and treatment of multiple myeloma.

If you’re founding or scaling an AI startup, don’t relegate data engineering to the background. Done right, it’s your unfair ...

Architecture Functional Data Paths - There are three primary functional data paths from the substation to the utility enterprise: operational data to SCADA systems, non- operational data to data ...

Good data products must not only encode facts but also support narratives and explainable stories that reveal why decisions ...