Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

Patients with chronic diseases may have files that include dozens of clinical records that providers may not have time to ...

Deepak Dastrala, Intellect AI on leveraging MongoDB for AI-first products, modernising BFSI data, and building a trusted, ...

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial ...

How to move from experimental AI to enterprise AITo mitigate risks, ensure governance and save costs, enterprises should have a centralised artificial data intelligence platform driven by a key leader ...

One of BigQuery's biggest differentiators is its native integration with Vertex AI, Google's AI development platform. This eliminates the need to move data between different environments, a process ...

This precision medicine approach, driven by granular, real-world evidence, is critical for reshaping clinical guidelines and ...

Slack launches comprehensive AI features including enterprise search and writing assistance as Salesforce challenges ...

Here are Salesforce's three best practice recommendations for every organization integrating AI into their service approach.

A powerful, cloud-native data platform that is transforming how the company operates, measures, and innovates across all ...