CIO
MAY 3, 2024
United Parcel Service last year turned to generative AI to help streamline its customer service operations. Customer service is emerging as one of the top use cases for generative AI in today’s enterprise, says Daniel Saroff, group vice president of consulting and research at IDC.
CIO
MAY 8, 2024
Generative AI presents an incredible new opportunity to empower every knowledge worker to get more value from their documents and work more productively. However, deploying generative AI across the organization quickly, yet in a secure and compliant way can be challenging for IT leaders. Generative AI
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CIO
SEPTEMBER 29, 2023
If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.
CIO
MARCH 20, 2024
In response to the authority’s ruling, Google issued an official blog post saying it found the fine “disproportionate,” but that it would pay up rather than contest it, saying “it is time to turn the page.” Generative AI, Regulation
CIO
MARCH 18, 2024
These microservices are provided as downloadable software containers used to deploy enterprise applications, Nvidia said in an official blog post. For NIM microservices the focus is on deployment times for generative AI apps, which the company said can be reduced “from weeks to minutes” with its services.
CIO
MARCH 19, 2024
So much digital ink has been spilled regarding how generative AI is a first-class productivity booster. This marketing plan must cover five customary bases: a corporate messaging guide, a snazzy presentation, a unique product logo, a bubbly blog post, and a video script designed to educate folks. 2024 Generative AI
CIO
DECEMBER 13, 2023
Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now? What’s hiding in your unstructured data?
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