Workflow management software provider ServiceNow has embedded a chatbot for assisting customers with most of its products.
ServiceNow’s new Now Assist tool is an expansion to its AI-powered Now Platform, and is available in its Vancouver software release for IT Service Management (ITSM), Customer Service Management (CSM), HR Service Delivery (HRSD), and Creator workflow application.
Credit to Author: Steven Carlini| Date: Thu, 14 Sep 2023 16:20:32 +0000
Decades before AI became the word on everyone’s lips, I was involved with a project to support the primary data center of the world’s largest retailer. The CIO proudly showed me a brand new, state of the art computer that was able to approve and…
The post Data Processing Power is Rising to Incredible Levels to Enable AI appeared first on Schneider Electric Blog.
Read more
Credit to Author: Ross McKerchar| Date: Thu, 07 Sep 2023 21:58:23 +0000
The rapid adoption of Generative AI holds great promise for innovations that create new opportunities but it also brings risks.
Read more
We’re in the “iPhone moment” for generative AI, with every company rushing to figure out its strategy for dealing with this disruptive technology.
According to a KPMG survey conducted this June, 97% of US executives at large companies expect their organizations to be impacted highly by generative AI in the next 12 to 18 months, and 93% believe it will provide value to their business. Some 35% of companies have already started to deploy AI tools and solutions, while 83% say that they will increase their generative AI investments by at least 50% in the next six to twelve months.
Credit to Author: Guest Blogger| Date: Tue, 22 Aug 2023 04:57:13 +0000
I am Sushmita Sinha, and I am, associated with Schneider Electric since August 2022. As a Lead Automation Tester I am glued to the exciting world of quality assurance for AI projects. The field of artificial intelligence has been rapidly growing, and although I hadn’t…
The post Embracing the World of AI Testing at Schneider Electric appeared first on Schneider Electric Blog.
Read more
As a large number of companies continue to test and deploy generative artificial intelligence (genAI) tools, many are at risk of AI errors, malicious attacks, and running afoul of regulators — not to mention the potential exposure of sensitive data.
For example, in April, after Samsung’s semiconductor division allowed engineers to use ChatGPT, workers using the platform leaked trade secrets on least three instances, according to published accounts. One employee pasted confidential source code into the chat to check for errors, while another worker shared code with ChatGPT and “requested code optimization.”
Artificial intelligence (AI) is already having a significant effect on businesses and organizations across a variety of industries, even as many businesses are still just kicking the tires on the technology.
Those that have fully adopted AI claim a 35% increase in innovation and a 33% increase in sustainability over the past three years, according to research firm IDC. Customer and employee retention has also been reported as improving by 32% after investing in AI.
A UK research team based at Durham University has identified an exploit that could allow attackers to figure out what you type on your MacBook Pro — based on the sound each keyboard tap makes.
These kinds of attacks aren’t particularly new. The researchers found research dating back to the 1950s into using acoustics to identify what people write. They also note that the first paper detailing use of such an attack surface was written for the US National Security Agency (NSA) in 1972, prompting speculation such attacks may already be in place.
“(The) governmental origin of AS- CAs creates speculation that such an attack may already be possible on modern devices, but remains classified,” the researchers wrote.