News Room
- Analystenhaus: SAS verdoppelt KI-Umsatz 5. September 2019
- Citi Global Trade digitalisiert Risk und Compliance mit KI – Zusammenarbeit von SAS und EY für effizientere Prozesse 26. Juni 2019
- Ausgezeichnete Business Analytics Performer auf dem SAS Forum 5. Juni 2019
- KI und IoT Analytics: Ulbrich Stainless Steel optimiert Wartung und Produktqualität mit SAS 6. Mai 2019
- Nestlé nutzt SAS Analytics für präzisere Nachfrageplanung 2. Mai 2019
- SAS Global Forum: Analytics für jeden Anwender und jedes Szenario 30. April 2019
- Siemens und SAS kooperieren in Sachen KI und IoT Analytics für Edge und Cloud 2. April 2019
- Hannover Messe: SAS setzt auf AIoT und starkes Partnernetzwerk 21. März 2019
- Innovationsschub für KI: SAS investiert 1 Milliarde US-Dollar 18. März 2019
- Healthcare Analytics: SAS und InterSystems sorgen für fundierte Entscheidungen im Gesundheitswesen 22. Februar 2019
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- Are Black Swans in Your Data Lakes Obstructing AI Progress? Dataversity 13. September 2019
- Are Predictive Analytics Trustworthy? CMSWire 12. September 2019
- Analytics in the IoT public sector: Perfecting with computer vision KM World 2. September 2019
- Storing predictive analytics data can be tricky: Avoid these 5 errors Tech Target 30. August 2019
- Sandbox Tool Aims to Help Credit Unions Build Analytics Models Credit Union Times 26. August 2019
- Banking Can No Longer Ignore the Power of AI The Financial Brand 19. August 2019
- Triangle companies start opening doors and opportunities for autistic workers The News & Observer 16. August 2019
- Intelligent document imaging with natural language processing and optical character recognition AI Business 16. August 2019
- Data Governance and Data Quality Use Cases DATAVERSITY 13. August 2019
- Data's Double Edge, And How SMBs Can Take an Integrated Approach to Cybersecurity Forbes 7. August 2019
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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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AI in government: The path to adoption and deploymentThe government sector is lagging in AI adoption, but awareness of the importance of AI in the public sector is increasing. Our survey indicates that operational issues are requiring governments to turn their attention to AI projects as a way to address important public issues.
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Five trends that will reshape customer experienceApplying the latest research from HBR gives a new twist on this surprisingly relevant 2015 list of CX do’s and don’ts.
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Under siege: Improving customer experience in bankingBanks are ranking low in customer satisfaction, but improvement is possible says Digital Banking Report owner and publisher Jim Marous.
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From Apollo to AI: A new era of American explorationAs we celebrate the 50th anniversary of the Apollo 11 mission, what’s the next frontier for American Innovation? It’s available now, from our desks and waits for us to unlock its potential.
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