QumulusAI, a Georgia-based provider of graphics processing unit-powered cloud infrastructure for artificial intelligence, is making moves to claim a leadership position in the emerging neocloud market today by naming Michael Maniscalco new chief executive officer. Maniscalco (pictured), former chief technology officer of Applied Digital Corp., will bring his technical skills to an already deep team to bring enterprise-grade AI infrastructure to market.
Tag: generative AI
Amazon Web Services Inc. today announced the addition of fully managed open-weight models Qwen3 and DeepSeek-V3.1 to its AI model portfolio. The new models offer greater flexibility to customers that rely on the Amazon Bedrock generative AI service to meet their evolving business needs. Open-weight models provide increased transparency for developers regarding model weights, which makes it easier to customize models for specific use cases.
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AWS adds fully managed AI models: Qwen3 and DeepSeek-V3.1
Zoom Communications Inc. has a variety of products, including meetings, contact center, front-line worker applications and others, but this week there’s a single theme that cut across the fully virtual Zoomtopia event: artificial intelligence. In fact, with that emphasis on how AI is expanding and enhancing Zoom’s conferencing and related services, they could have called the event ZoomtopAI.
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It’s an AI bonanza at Zoomtopia 2025
Palo Alto Networks Inc. today added more capabilities to its fast-growing Prisma SASE (Secure Access Service Edge) platform by leveraging AI to create what the company calls “a blueprint for the AI-ready enterprise.” The Secure Access Service Edge service delivers protection against AI-powered threats, data security that adapts to how information flows, and unified operations capable of intelligent scaling.
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Palo Alto Networks gets ready for an AI-centric world with Prisma SASE 4.0
Artificial intelligence is at the heart of almost every part of an organization’s strategy, and that includes information technology operations. However, many organizations aren’t seeing clear business results. In fact, a recent MIT Study found that 95% of generative AI projects are failing. One of the big reasons for failure is that AI is being deployed in silos resulting in partial insights into the broader ecosystem.