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Found 4 results

  1. IBM extended the reach of the generative AI tools it provides to automate the writing of code to the Ansible IT automation framework. View the full article
  2. Getting started with LLMs? Here are 5 popular applications data teams at OpenAI, Vimeo, and other companies are putting into practice today. The hype around generative AI is real, and data and ML teams are feeling the heat. Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. And tech giants like OpenAI, Google, Amazon, and Microsoft have been flooding the market with features driven by large language models (LLMs) and image-generating diffusion models. They promise to help companies analyze data at scale, summarize and synthesize information, generate content, and otherwise transform their businesses. But where do most companies actually start when it comes to incorporating generative AI? What generative AI use cases are realistic, achievable, and actually worth the ROI? We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen-AI at scale... View the full article
  3. Observe, Inc. revamped the Hubble user interface to its observability platform infused with generative AI. View the full article
  4. VMware previewed what will become a suite of intelligent assistants that use generative artificial intelligence (AI) to automate the management of a wide range of IT tasks. View the full article
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