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Month: January 2025

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  • Borderless AI emerges from stealth with $32M in funding to disrupt HR tech

Borderless AI emerges from stealth with $32M in funding to disrupt HR tech

Borderless AI launches an enterprise HR platform powered by AI that streamlines employee data management, policy compliance, and HR workflows, securing $32M in funding to challenge traditional HR software giants.Read…

Edge computing’s rise will drive cloud consumption, not replace it

Successful edge AI deployments require deep integration between edge and cloud, complex orchestration and new approaches to data management. Read More

Purpose-built AI hardware: Smart strategies for scaling infrastructure

Enterprises can look forward to new capabilities — and strategic decisions — around the crucial task of creating a solid foundation for AI expansion in 2025. New chips, accelerators, co-processors,…

AI factories are factories: Overcoming industrial challenges to commoditize AI

The infrastructure to support AI inherits many challenges that defined industrial factories, from power to scalability and reliability.Read More

The path forward for gen AI-powered code development in 2025

AI-powered code development has come a long way in recent years. Here’s where it’s headed as 2025 gets underway.Read More

Not just hype — here are real-world use cases for AI agents

Here’s how robotics manufacturing company Baca Systems and corporate food ordering platform ezCater are using Salesforce’s AI agents.Read More

Winning the war against adversarial AI needs to start with AI-native SOCs

Let’s dive into the many reasons security leaders are embracing AI-native security operations centers (SOCs) as the future of defense.Read More

Build or buy? Scaling your enterprise gen AI pipeline in 2025

Successfully scaling gen AI requires clear, high-value use cases, technological flexibility and an adaptive workforce.Read More

4 bold AI predictions for 2025

Enterprises can prepare for AI becoming faster, cheaper and more capable in 2025, and take the lead on developing applications.Read More

Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.Read More

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