SAS, the leader in analytics, will invest $1 billion over the next three years to further develop advanced analytics solutions targeted at the unique needs of specific industries. 

In banking, government, insurance, health care, retail, manufacturing, energy and more, SAS will build upon its decadeslong focus on providing tailored solutions to industry challenges. This industry commitment and the rapid time-to-value these solutions deliver are key SAS differentiators.

All industry solutions will run on SAS Viya, SAS' cloud-native, massively parallel AI and analytics platform.

"Businesses face many challenges, from the threat of economic recession and stressed supply chains to workforce shortages and regulatory changes," said SAS CEO Jim Goodnight. 

"Through this investment, SAS will continue to support companies using AI, machine learning and advanced analytics to fight fraud, manage risk, better serve customers and citizens, and much more. We remain steadfast in our ongoing commitment to innovation while delivering the market's best analytics."

The billion-dollar investment includes direct research and development, industry-focused line-of-business teams, and industry marketing efforts. 

It will fund the innovative work of SAS data scientists, statisticians and software developers working with consultants, systems engineers and marketers with specific industry experience.

The investment is in line with the trend toward democratizing data analytics. By putting the power of advanced analytics in the hands of more people with varied experience and job roles, organizations and society will benefit. It's what SAS calls analytics for everyone, everywhere.

As organizations continue to embrace AI, machine learning, computer vision and Internet of Things(IoT) analytics to gain valuable insights, people of all skill levels can participate in the analytics process through low- or no-code options like those delivered by solutions running on SAS Viya.

Data scientists and statisticians can use SAS' industry solutions, benefiting from AI, machine learning and other powerful analytics. And importantly, so too can business analysts to better detect and prevent fraud, city planners to improve public health and safety, medical personnel to enhance patient care, and frontline workers to optimize manufacturing assembly lines.