CIO
OCTOBER 10, 2023
Generative AI has quickly changed what the world thought was possible with artificial intelligence, and its mainstream adoption may seem shocking to many who don’t work in tech. So, what are its implications for the enterprise and cybersecurity? The insider threat also becomes significant with AI.
CIO
AUGUST 9, 2023
It’s an appropriate takeaway for another prominent and high-stakes topic, generative AI. Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). What does this have to do with technology?
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CIO
SEPTEMBER 29, 2023
As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. In short, yes. But it’s an evolution. billion by 2032.
CIO
APRIL 1, 2024
Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1.
CIO
JUNE 28, 2023
The fully managed AppFabric offering, which has been made generally available, is designed to help enterprises maintain SaaS application interoperability without having to develop connectors or workflows in-house while offering added security features, said Federico Torreti, the head of product for AppFabric.
CIO
JULY 31, 2023
Organizations are rushing to figure out how to extract business value from generative AI — without falling prey to the myriad pitfalls arising. They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies.
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.
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