News Room
- SAS honors its roots with new agricultural technology unit and NC State University plant sciences partnership 03 December 2019
- AI, predictive analytics, consortium data at forefront of fraud fight, says SAS on Fraud Week 18 November 2019
- Study says companies using AI and IoT together catapults them ahead of competitors using IoT alone 29 October 2019
- SAS reseller EIS wins spot on $500M DOJ analytics blanket purchase agreement 24 October 2019
- SAS is No. 1 in advanced and predictive analytics market share, says analyst report 22 October 2019
- New global research: What will customer experience look like in 2030? 22 October 2019
- SAS adds automated machine learning to make AI-powered decisions even easier 22 October 2019
- SAS moves organizations’ open source models beyond the lab to enable smarter, faster decisions 22 October 2019
- UN Women USA NC 6th Annual Luncheon Highlights Gender Equality Advocacy 21 October 2019
- Northbridge Financial Corp. selects Analytics Leader SAS to Prepare for IFRS 17 21 October 2019
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- 2020 Trends in Data Modeling: Unparalleled Advancement insideBIGDATA 29 November 2020
- Practical AI-Powered Real-Time Analytics for Manufacturing: Lessons Learned From Design to Deployment AI Trends 28 November 2019
- Operationalizing Analytics: Conquering the Last Mile Datanami 26 November 2019
- Customer Analytics and Data Privacy Laws: On a Collision Course? MarketingProfs 26 November 2019
- Creating a United Front Against Fraudsters ACFE Insights 26 November 2019
- 5 Fixes for Common AI Challenges Banking Exchange 26 November 2019
- The Jury Is in on the Future of Customer Experience CMS Wire 20 November 2019
- Value, and not TCO is the key driver for analytics in the cloud Computerworld 18 November 2019
- Prime Therapeutics Using AI to Analyze Prescription Data, Detect Fraud AI Trends 15 November 2019
- Stalled Enterprise AI Gets Unstuck from Surprising Source InformationWeek 14 November 2019
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SAS is a Leader in The Forrester Wave™: Cross-Channel Campaign Management (EMSS Modules), Q3 2019.
25 September 2019 -
SAS is a Leader in The Forrester Wave™: Enterprise Marketing Software Suites, Q3 2019
25 September 2019 -
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2019
24 September 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.
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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