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.
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.
Palo Alto Networks Inc. kicked off the annual Black Hat USA security conference in Las Vegas this week with today’s announcement of its Cortex Cloud Application Security Posture Management solution. The ASPM offering is designed to fix security issues before cloud and AI applications have been deployed. The traditional method of securing apps is a highly fragmented set of manual processes. Instead of a single, unified platform, developers rely on a collection of point products and manual processes that are disconnected from each other.