Technology is not what powers a data-first culture, but people, operating models, and disciplined delivery. Most organizations already possess more tools and data than they can effectively utilize.

Discover how to automatically detect secrets in GitLab CI logs using ggshield and GitGuardian's Bring Your Own Source ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate ...

The ASUS commitment to sovereign AI highlights the vital role of innovation in securing data sovereignty and security.

Global AI investments are surging, with India aiming to build a competitive AI infrastructure through talent, innovation, and ...

Explore how Neo4j’s Infinigraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

Generative Artificial Intelligence is rapidly transforming the world of data science. It is changing the way data is collected, cleaned, analyzed, and used in i ...

With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and ...

Your AI roadmap isn’t stuck because of bad ideas.It’s stuck because you’re building it with the wrong engine. Most enterprise agile IT teams were built...Read More The post Innovation at Velocity: How ...

Universities need to rethink their role in this world where knowledge is abundant but employable skills are scarce.

The initial tranche of major projects the federal government will help get off the ground quickly include expanding liquefied ...

Building sovereign AI and cloud infrastructure was among the Council of Canadian Innovators’ (CCI) 2025 federal pre-budget ...