Protecting taxpayer dollarsĮvery year, governments across the world lose huge sums due to tax evasion and avoidance. Connecting siloed functions (e.g., onboarding, credit risk, fraud detection, marketing) on a unified, AI-powered architecture – and using shared data and analytics – is helping financial firms streamline operational complexity while yielding faster, more accurate decisions that boost customer experience. SAS is also prioritizing innovation in enterprise decisioning. Already, SAS Asset and Liability Management (ALM) has been retooled for SAS Viya, helping banks predict and mitigate the liquidity and balance sheet risks that triggered recent bank failures. It’s also accelerating advances in SAS’ suite of integrated risk solutions. The acquisition, the largest in SAS history, added some of the most renowned names in quantitative risk management to SAS’ roster. To help banking and insurance customers meet the challenges ahead, SAS acquired Kamakura Corp., a financial risk firm revered for its rigor, particularly in integrated balance sheet management. Last year’s economic headwinds roiled global markets, reversing post-pandemic rebounds and forging an increasingly precarious risk landscape. Some recent examples of SAS industry expertise include: Navigating volatility and enhancing customer experience in financial services These will be further refined through the ongoing investment, and SAS will develop new solutions to address additional needs. SAS already offers a wide variety of industry-specific solutions. 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. It’s what SAS calls analytics for everyone, everywhere.Īs 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.ĭata scientists and statisticians can use SAS’ industry solutions, benefiting from AI, machine learning and other powerful 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. The investment is in line with the trend toward democratizing data analytics.
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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 billion-dollar investment includes direct research and development, industry-focused line-of-business teams, and industry marketing efforts. We remain steadfast in our ongoing commitment to innovation while delivering the market’s best analytics.” R&D innovation + industry expertise = analytics for the people “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. “With insights from industry-focused analytics, resilient organizations can find opportunity in these challenges. “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. This industry commitment and the rapid time-to-value these solutions deliver are key SAS differentiators.Īll industry solutions will run on SAS ® Viya ®, SAS’ cloud-native, massively parallel AI and analytics platform. In banking, government, insurance, health care, retail, manufacturing, energy, telecom/media and more, SAS will build upon its decadeslong focus on providing tailored solutions to industry challenges. 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.
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