It has been about a year since OpenAI LP launched ChatGPT. That thrust generative artificial intelligence into the spotlight, creating more hype around a technology than anything I can remember. The intense focus on generative AI has made many information technology and business leaders I have talked to ask how generative AI can transform their business.
Enterprises face many challenges, including too many systems and management dashboards to check. On the network side, those problems are compounded by an array of technologies needed to bind the organization together—including separate wired, Wi-Fi, and private 4G/5G networks.
In response to a surge in generative artificial intelligence (AI), NVIDIA made significant updates to its Jetson platform for edge AI and robotics. The updates focus on the Isaac Robot Operating System (ROS) framework and Metropolis, two primary components of the platform.
At the WebexOne event in Anaheim, CA, Cisco shared an AI strategy centered on the three pillars it has discussed for a while:reimagining work, building the best collaboration suite, and building the best device portfolio.
It has been a busy few days this week at WebexOne in Anaheim, where Cisco Systems Inc. revealed a number of new products and solutions for its conferencing and collaboration unit, including devices powered by Nvidia Corp.’s artificial intelligence engine.