CARY, N.C. – Analytics firm SAS is investing $1 billion in AI over the next three years through software innovation, education and expert services.
The firm says the commitment builds on SAS’ already strong foundation in AI which includes advanced analytics, machine learning, deep learning, natural language processing (NLP) and computer vision.
“At SAS, we remain dedicated to our customers and their success, and this investment is another example of that commitment,” said SAS CEO Jim Goodnight, in a prepared statement. “With our innovative capabilities in AI, SAS helps businesses deter damaging fraud, fight deadly disease, better manage risk, provide exemplary service to customers and citizens, and much more.”
The $1 billion investment in AI will focus on three main areas: research and development (R&D); education initiatives; and expert services.
SAS says it is investing in R&D innovation in all core areas of AI, with a special focus on making it easy for users with different skill levels to benefit – from business experts to data engineers to data scientists. SAS is embedding AI capabilities into the SAS Platform and solutions for data management, customer intelligence, fraud and security intelligence, and risk management, as well as applications for industries including financial services, government, health care, manufacturing and retail.
Customer education and development initiatives
The firm says customer education and development initiatives such as the new SAS AI Accelerator Program will focus on helping organizations and professionals get AI-ready at any level. SAS will offer:
- Tailored curricula to help organizations improve their AI skills. This will include e-learning like the SAS Academy for Data Science, and in-person training in AI technologies, best practices and more.
- Certification programs that help analytics professionals and data scientists earn the credential of SAS Certified Professional in AI and Machine Learning.
- The SAS Analytics Center of Excellence, a group of PhDs and experts in AI, machine learning, NLP, computer vision, optimization, simulation and related data science skills.
Resources and talent
SAS says it will augment its AI expertise through additional resources in professional services, centers of excellence, education and R&D.