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As a result, SaaS management has become a top priority for many enterprises. Instead, in working across Azure, “we use some proprietary solutions that we licensed and then do very simple coding,” he says. For Bryan Muehlberger, CIO at Vuori, the rise of SaaS use has also led to a corresponding rise in vendormanagement challenges. “We
At the same time, the Institute’s AI enablement group began working on a gen AI project called GPT4DFCI that would run within the organization’s network and look at how to work with vendors adding gen AI to their systems. Now, it’s used throughout the organization, including within IT.
One such area that’s getting more thought today is SaaS backup and recovery, something many CIOs have to date taken for granted, leaving it to their SaaS vendors to not only deliver better than five-nines uptime but also be the sole entities backing up and recovering SaaS-siloed data that is increasingly vital to companies’ data-driven operations.
2023 has been a break-out year for generative AI technology, as tools such as ChatGPT graduated from lab curiosity to household name. To help IT leaders keep tabs on their exposure to generative AI, CIO.com offers this round-up of the latest generative AI announcements from some of the major enterprise software vendors.
AI vendormanagement Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. Microsoft quickly pledged to support it on its Azure platform. This is where large language models get me really excited. So did Amazon on AWS.
These are the findings from a commissioned survey including 262 IT and security professionals who have the final decision-making authority for their organization’s cloud infrastructure. How often is your organization’s cybersecurity team engaged during the following stages of deployment?
Hyperscaler services: The usage of Hyperscalers like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure will bring benefits like scalability and high availability (they can easily handle large amounts of data and traffic).
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