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 ...

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

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 ...

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

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Clients are facing ‘PoC fatigue’, as success rates of PoC to AI still remains 17-20 per cent, Avinash Joshi, MD, India, NTT DATA tells Moneycontrol ...

The model has been released publicly on Hugging Face, allowing startups and enterprises to build applications without ...

Nvidia’s Nemotron 3 open models focus on agentic AI, token efficiency, and enterprise-ready systems built for multi-model reasoning and real-world use at scale.

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ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

ChatGPT 5.2 Pro uses a juice level of 768 for deep reasoning and better business outputs, saving time on research, slides, ...