News Room
- SAS honors its roots with new agricultural technology unit and NC State University plant sciences partnership December 3, 2019
- AI, predictive analytics, consortium data at forefront of fraud fight, says SAS on Fraud Week November 18, 2019
- Study says companies using AI and IoT together catapults them ahead of competitors using IoT alone October 29, 2019
- SAS reseller EIS wins spot on $500M DOJ analytics blanket purchase agreement October 24, 2019
- SAS is No. 1 in advanced and predictive analytics market share, says analyst report October 22, 2019
- New global research: What will customer experience look like in 2030? October 22, 2019
- SAS adds automated machine learning to make AI-powered decisions even easier October 22, 2019
- SAS moves organizations’ open source models beyond the lab to enable smarter, faster decisions October 22, 2019
- UN Women USA NC 6th Annual Luncheon Highlights Gender Equality Advocacy October 21, 2019
- Northbridge Financial Corp. selects Analytics Leader SAS to Prepare for IFRS 17 October 21, 2019
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- Citi Launches NextGen For AI-Powered Trade Transactions PYMNTS.com May 2, 2019
- Citi to develop AI-based trade finance compliance platform Finextra April 30, 2019
- SAS Global Forum: Analytics for Everyone DM News April 30, 2019
- Changes in data privacy laws could be coming Newsday April 30, 2019
- Data Privacy Regs are Coming, and the Number 50 is Worrisome Information Week April 29, 2019
- SAS Global Forum: Jim Goodnight emphasizes importance of harnessing data to change the world IT Business Canada April 29, 2019
- SAS to bring analytics everywhere, for everyone, in any industry iT Wire April 29, 2019
- Citi Rolls Out AI-Powered Risk Analytics Scoring Engine PYMNTS.com April 29, 2019
- Billionaire Software Pioneer Jim Goodnight Paves Way for Successor Bloomberg News April 29, 2019
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SAS is a Leader in The Forrester Wave™: Cross-Channel Campaign Management (EMSS Modules), Q3 2019.
September 25, 2019 -
SAS is a Leader in The Forrester Wave™: Enterprise Marketing Software Suites, Q3 2019
September 25, 2019 -
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2019
September 24, 2019
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Three steps for conquering the last mile of analyticsPutting your analytical models into production can be the most difficult part of the analytics journey. It’s no surprise that this last mile of analytics – bringing models into deployment – is the hardest part of digital transformation initiatives for organizations to master, yet it’s the most crucial.
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Discover a secret resource for working with cloud providersAre you overwhelmed by the hundreds of options and offers in the cloud? Are you finding it hard to select the best cloud services from the different cloud providers? Why not ask a neutral and informed third party for help?
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As AI accelerates, focus on 'road' conditionsAI technology has made huge strides in a short amount of time and is ready for broader adoption. But as organizations accelerate their AI efforts, they need to take extra care, because as any police officer will tell you, even small potholes can cause problems for vehicles traveling at high speeds.
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The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
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Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’Here are four examples across the banking industry that show how these leading organizations followed a clearly defined path to conquer the infamous 'last mile' of analytics.
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ModelOps: How to operationalize the model life cycleModelOps is where analytical models are cycled from the data science team to the IT production team in a regular cadence of deployment and updates. In the race to realizing value from AI models, it’s a winning ingredient that only a few companies are using.
SAS Insights
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SAS Customer Stories
Learn how customers around the world and across industries use SAS to streamline processes, reduce risk, prevent fraud, grow revenues, retain customers, improve health outcomes and much more.
- Thai bank safeguards customers while managing fraud detection in real time
- Manufacturing smarter, safer vehicles with analytics
- Reducing hospital-acquired infections with artificial intelligence
- Curbing traffic accidents and saving lives with machine learning
- Funding for ground-breaking childhood cancer research fueled by analytics