News Room
- SAS treibt Betrugsbekämpfung mit KI und prädiktiver Analytics voran 22. November 2019
- AIoT-Studie: Unternehmen erzielen massive Wettbewerbsvorteile in der Kombination von KI und IoT 30. Oktober 2019
- Kundenverhalten 2030: Studie sagt radikale Veränderungen voraus 24. Oktober 2019
- Versicherung für Digital Natives: Start-up Yolo personalisiert Angebote mit KI von SAS 23. Oktober 2019
- Versicherer Admiral trifft schnellere KI-basierte Entscheidungen mit SAS 22. Oktober 2019
- SAS Open Model Manager operationalisiert Open-Source-Modelle 22. Oktober 2019
- JMP Live ermöglicht das Bereitstellen analytischer Erkenntnisse für das gesamte Unternehmen 18. Oktober 2019
- SAS Analytics Experience 2019: So gelingt die Umsetzung von Analytics und KI 18. Oktober 2019
- Great Place to Work: SAS als Top-Ten-Arbeitgeber weltweit ausgezeichnet 17. Oktober 2019
- Noch tiefer gehende Analysen mit der neuen Version von JMP 17. Oktober 2019
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- 2020 Trends in Data Modeling: Unparalleled Advancement insideBIGDATA 29. November 2019
- 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.
SAS Insights
Visit our Insights Center for the latest thinking on topics you care about – analytics, big data, data management, marketing, risk and fraud – published by and curated from experts around the world.
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
