It’s been said that in support, a good employee experience equals a good customer experience. But how can you be sure your support professionals are performing at the top of their game, every time?
Traditional quality monitoring methods are highly manual and arduous, and only allow managers to review a small sample of cases. Plus, by the time evaluations are performed, the context and ability to really learn is diminished.
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As the number of mobile users grows to 5 billion in 2019, companies are under immense pressure to deliver engaging and secure mobile apps, and not just for consumers. Increasingly, mobile apps are an essential tool to unlock employee innovation and productivity. With MuleSoft’s Anypoint Platform™ businesses can send data securely from any system to mobile, leveraging agile and continuous integration and continuous deployment (CI/CD) best practices to optimize consumer and employee experiences while driving revenue and operational efficiency.
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Artemis Vision
Image based ML algorithms have been advancing exponentially, but manufacturing industries have been slow to adopt these new methods. Supervised ML algorithms can be taught to perform inspections with less developer effort for certain classes of problems when compared to traditional methods, and will often work where traditional techniques are infeasible. Advances in IIOT have reduced the cost of acquiring and labelling large datasets, situating manufacturing in a sweet-spot for leveraging ML.
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RSNA
In the last 5 years, Artificial intelligence (AI) techniques known as deep learning have delivered rapidly improving performance in image recognition. It is anticipated that the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health, and will revolutionize radiologists' workflows. Therefore the RSNA AI Webinar Series has been developed to help Radiologists understand the fundamentals of this emerging technology.
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