News Room
- SAS insights drive All Blacks as ‘Official Analytics Supplier’ to New Zealand Rugby 03 September 2019
- RevSpring helps patients navigate the financial maze of healthcare with SAS 03 September 2019
- SAS named a Leader in Gartner’s 2019 Magic Quadrant for Data Integration Tools 14 August 2019
- SAS sees 105% growth in AI revenue, per analyst report 13 August 2019
- SAS named a Best Workplace for Innovators by Fast Company 05 August 2019
- SAS Research & Development, India ranks No. 1 in India’s Great Mid-size Workplaces -2019 25 July 2019
- SAS fulfills pledge to support HBCUs with free software and partnerships 24 July 2019
- SAS India named among India's Great Mid-Size Workplaces 2019 22 July 2019
- SAS Honored as a Stevie® Award Winner in 2019 American Business Awards® 26 June 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 02 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 07 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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