The implementation of artificial intelligence generates wide-ranging effects throughout all industrial sectors through its generative capabilities and large language models together with autonomous systems and scientific discovery applications, but true AI capabilities have been hard to achieve because the foundation of the infrastructure needs a complete redesign.
As generative artificial intelligence tools are becoming more prevalent in the workplace, employees are accessing these tools via personal accounts on company devices, pasting in sensitive data, and downloading content — all of which creates potential security risks. Meanwhile, cybercriminals are capitalizing on this trend by weaponizing AI and impersonating trusted tools.
Nvidia Corp. recently held an industry analyst briefing on the topic of physical artificial intelligence, and Chief Executive Jensen Huang has been consistent in his talk track in every keynote he has done this year that physical AI is the next wave of AI. In fact, he has often stated that eventually anything that moves – from lawnmowers to forklifts to cars — will be autonomous giving rise to the physical AI era.
Since launching its Generative AI Innovation Center in 2023, Amazon Web Services Inc. has had one primary goal: help customers turn the potential of artificial intelligence into real business value. Now, the company has invested an additional $100 million in the center to enable customers to pioneer the new wave of autonomous agentic AI systems. Post-announcement, I talked with Taimur Rashid, managing director of generative AI innovation and delivery, who oversees the center.
With all the hype around artificial intelligence, work should be easier and more efficient these days. But that’s far from the truth. Employees are still spending hours searching and sifting through information and second-guessing AI responses. Coveo Solutions Inc.‘s latest Employee Experience Relevance Report takes a closer look at how workplace tools are falling short on EX and why more companies need to have a better approach to knowledge discovery.