If you’re building AI solutions today, you already know the risks: faster decisions, reliable results, and the ability to scale without draining your computing budget. What you may not always see is what’s going on under the hood to make this possible.
Here lies the importance of strong technology partnerships. For more than a decade, SAS and Intel have collaborated behind the scenes to deliver cutting-edge data and analytics Amnesty International Easier to deploy, faster to operate, and designed for responsible use. The goal is not just performance for the sake of performance. We want to give teams confidence that their investments in AI will move the needle in the real world.
Here are four ways this shows up in practice, whether you’re training models, or generating Synthetic data Or activate decisions
1. Develop a model faster without complexity
Sass® Via® It’s optimized to run on the latest Intel Xeon 5 processors, helping teams develop and deploy models at a rapid pace, even with large amounts of data. What does that look like in practice? Shorter research cycles, faster iteration, and faster decision making.
2. Flexible development experience for programmers and low-code users
Developers and data scientists don’t all work the same way. SAS Viya Workbench provides teams with a cloud-based environment where they can use SAS, Python, or R with familiar tools like VS Code or Jupyter. Combined with Intel hardware acceleration, it creates a smoother path from experimentation to production.
3. Decision-making intelligence that can be measured with confidence
Using AI at scale responsibly is extremely important. SAS Decision Builder helps teams turn analytics into real-time decisions, and run them efficiently on Intel-optimized infrastructure. The result: better, faster decisions that help you complete the AI lifecycle.
4. Synthetic data that accelerates innovation (and protects privacy)
Where real-world data is limited or sensitive, synthetic data can hold the key to innovation. SAS Data Maker will use Intel® Advanced Matrix extensions to assist in processing Deep learning Workloads in a fast and cost-effective manner
Why does this matter?
AI without trust is not the AI you want to use. SAS and Intel are focused on helping companies build AI that delivers performance, scale, and wins the trust of users again and again.
