The role of the modern data executive has never been more complex. Across EMEA, executives are facing a myriad of challenges from rising interest rates and fragile supply chains to tightening ...

1. AI Dataset Approval Workflows: In many enterprises, dataset approvals used to take three weeks as teams manually reviewed ...

I had an epiphany while on the ice with my team. Our team has been together since 2018 — we’ve competed in several leagues, ...

In the age of algorithmic intelligence, data is no longer just an asset — it is a self-regulating system whose health determines the stability and success of modern enterprises. To manage data ...

With AI now embedded across business functions, boardrooms are under pressure to treat AI as a core business risk. Leaders ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

Abstract: As a new type of production factor, data is a crucial foundation for the digital transformation of the civil aviation industry. In the past two years, the Civil Aviation Administration of ...

For data-driven companies, their biggest challenges live in those outer rings. Their data flows in from CRM platforms, IoT devices, support logs, and SaaS tools. Some of it is neatly structured; most ...

AI is reshaping government and public services. We should harness it to make government more efficient, fairer and more ...

A data lake is a central location in which businesses can store their data in a variety of structures and at different scales ...

A team of researchers from UC San Diego and the University of Maryland have published a study [PDF warning] detailing their attempts to pick up unsecured information from the airwaves using a basic ...

Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of ...