In this environment, companies that sit at the intersection of AI and data infrastructure are becoming critical enablers of the broader AI transformation. Innodata INOD and Palantir Technologies PLTR ...

As organizations accelerate AI adoption and expand analytics capabilities, many still struggle to execute their data strategies due to unclear operating models, siloed decision-making, and ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself.

Amazon Nova Forge lets enterprises train frontier models, blending proprietary data and easing open-versus-closed tensions.

Obsessing over model version matters less than workflow.

Understand the critical differences between edge gateways and historians to make informed decisions about collecting, ...

LG Electronics reported diversified growth across appliances, B2B, and its direct-to-consumer channel. As a result, the ...

Launching an AI initiative without a robust data strategy and governance framework is a risk many organizations underestimate. Most AI projects often stall, deliver poor...Read More The post Can Your ...

An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...