Technology, Vendor

Global data analytics firm invests $1 billion in AI

Jim Goodnight, SAS
Jim Goodnight, SAS

SAS has announced that it will invest $1 billion in AI over the next three years through software innovation, education, expert services and more.

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. Educational programs and expert services will equip business leaders and data scientists for the future of AI, with the technology, skills and support they need to transform their organisations.

“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. “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) innovation where SAS continues to build on the success of its global AI efforts; education initiatives addressing customer needs to better understand and benefit from AI; and expert services to optimise customer return on AI projects.

SAS 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. The company is embedding AI capabilities into the SAS Platform and solutions for data management, customer intelligence, fraud & security intelligence and risk management, as well as applications for industries including financial services, government, health care, manufacturing and retail.

SAS continues to partner with innovative companies and leading technology providers like Accenture, Cisco, Deloitte, Intel and NVIDIA. This work brings the latest advances and practices in AI and machine learning to customers, and ensures SAS AI technologies perform optimally in customers’ hardware and cloud environments.

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