How ‘unfeasible’ GPU costs are limiting Claro’s AI business

Claro Brasil said that the AI capacity and processing offering for companies – GPU-as-a-service –, previously announced in a partnership with Nvidia, is currently based in data centers operated by Oracle outside the country.  According to CEO Rodrigo Marques, this arrangement is due to economic and tax hurdles that still make importing GPUs to Brazil unfeasible, despite…

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Binghamton and AI: New initiative hopes to advance artificial intelligence for the public good

image:  The Innovative Technologies Complex at Binghamton University, State University of New York. view more  Credit: Binghamton University, State University of New York AI is quickly becoming a part of our everyday lives. From work tasks to gym routines and even home improvement projects, AI can be used to help with just about everything. Which…

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IBM, Arm partner to develop enterprise AI infrastructure

A GLOBAL technology company announced a strategic collaboration with a semiconductor firm to develop dual-architecture hardware aimed at supporting artificial intelligence (AI) and data-intensive workloads. The announcement was made on April 14 with the partnership focused on expanding infrastructure flexibility while maintaining reliability and security for enterprise systems. IBM said it will work with Arm…

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Zenskar Raises $15M To Expand AI Billing Automation

Zenskar Raised $15 Million To Advance AI Finance Automation Zenskar has raised $15 million in Series A funding led by Susquehanna Venture Capital. The round also featured participation from Bessemer Venture Partners, Shine Capital and Rho. Other backers including Rocketship, J-Ventures and Converge also participated in the round. The financing is a significant milestone for the AI-native billing platform….

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Beyond extraction: what AI documents really need

Artificial intelligence has fundamentally changed the way organisations handle documents, yet for many businesses, the promise of intelligent automation continues to fall short of expectations. Pilots stall, outputs prove unreliable, and compliance concerns resurface just when confidence appeared to be building. According to M-Files, the reason is straightforward: most approaches to AI document processing focus…

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