Get news about SAS Innovate, generative AI, health care and more.͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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SAS Innovate is right around the corner! Join business leaders, tech users and SAS partners in Las Vegas! Not able to join us in person? Sign up for our SAS Innovate livestream and get on-demand content. Enjoy general sessions, keynotes, entertainment, and 22 recorded breakouts. Registration is free but required. Register now!
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Back in 2023, we announced that SAS Enterprise Guide will be enhanced to provide a bridge to SAS Viya 4. Exciting news: SAS Enterprise Guide 8.4 is available now! As a result, existing SAS Enterprise Guide users can keep using their favorite product combined with SAS Viya 4 and its modern capabilities and architecture.
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In this blog post, SAS CIO Jay Upchurch offers five strategies for CIOs, covering AI's challenges, data literacy, cloud spending management, storytelling for IT value, and tech debt retirement. These insights aim to empower IT leaders to navigate complexities and drive innovation within their organizations.
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Though powerful, large language models (LLMs) are prone to presenting incorrect and nonsensical information. One key to getting it right is prompt engineering, which is the idea that crafting and structuring the initial input, or prompt, can be done deliberately to retrieve better-quality responses. While there are many strategies to improve LLM performance, prompt engineering stands out as it can be performed entirely through natural language without requiring additional technical skill. Read on as this blog post describes how you can use SAS to do your own prompt engineering.
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For the insurance industry, trust is non-negotiable. However, insurers must manage AI and generative AI effectively to earn and maintain trust. That means embracing ethical approaches and strong governance while adhering to multiple guidelines and regulations. Embracing the huge potential of GenAI requires insurers to perform risk-based evaluations, determine which are the most promising applications and then move fast to seize the moment.
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