SAS, a company well-known for its data and AI solutions, recently released industry-specific AI models to assist businesses in more effectively addressing business difficulties. Lightweight AI Technologies make AI accessible to all skill levels, as these models are simple to implement and integrate.
Beyond Large Language Models (LLMs) – Lightweight AI Technologies
Currently, Large language models (LLMs) for generative AI are the most popular models on the market today.
But here’s the thing: LLMs are just one part of what we need for AI to work in the real world and help businesses make decisions. Sure, LLMs are great at understanding and creating language, but there are a lot of other AI technologies needed, like predicting things, recognizing images, giving recommendations, spotting unusual activities, and making things run more smoothly. These different AI implementations are important for dealing with all sorts of business challenges, like figuring out what customers want, catching fraudsters, and making operations more efficient.
SAS’s Approach and Impact
SAS’s models extend beyond LLMs to cover various sectors like supply chain, optimization, and fraud detection. Unlike typical AI implementations, SAS’s models enable rapid integration, speeding up benefits for businesses.
Moreover, as part of its $1 billion commitment to AI-powered solutions, SAS is expanding on its history of offering packaged solutions across industries like banking, government, and healthcare.
Additionally, Udo Sglavo, VP for AI and Analytics at SAS, stated that lightweight AI models are easily regulated and effective problem solvers. These models cater to various business needs, enhancing SAS’s existing solutions and ensuring innovation across the ecosystem.
SAS is simplifying AI by developing lightweight AI models that are understandable to non-technical people, allowing a broader spectrum of professions to take advantage of the benefits of artificial intelligence.
One of the initial applicationsย ofย this developmentย is the innovationย of an AI assistant specifically designed for warehouse space optimization.
SAS’s focus on industry-specific solutions seeks to create targeted and practical AI applications that meet the different difficulties and opportunities within diverse industries, ultimately allowing organizations to effectively maximize the power of AI in a more accessible and specialized manner.
Later this year, the first SAS Models will be made public to expand AI technologies and enable companies to grow in their specific environments.
Conclusion
SAS’s recent release of industry-specific AI models marks a significant step forward in empowering businesses to tackle their challenges with greater efficiency. While large language models (LLMs) have dominated the AI landscape, SAS recognizes that a diverse range of AI technologies is essential for real-world applications.
With SAS’s ongoing innovation and improvement of its industry-specific AI technologies, enterprises can anticipate effectively leveraging AI to tackle their specific challenges.
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