eG Innovations
In the digital age, quality of service (QOS) and user experience are the keys to competitive advantage. With the rapid adoption of hybrid clouds, assuring the performance of applications running in hybrid cloud ecosystems has become business-critical. The reality is that the explosion of new cloud-based IT services may not simplify performance management. In fact, since clouds are operating models the heterogeneous nature of hybrid and multi-cloud deployments makes performance management even more challenging.
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Siemens
Device complexity, and increasing medical device software requirements, are driving dramatic hikes in the number of product recalls, audit failures, and delays in product introduction. This, in turn, is driving an increase in the cost of medical device design and manufacturing.
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Modern machine learning (ML) workloads, such as deep learning and large-scale model training, are compute-intensive and require distributed execution. Ray was created in the UC Berkeley RISELab to make it easy for every engineer to scale their applications and ML workloads, without requiring any distributed systems expertise, making distributed programming easy.
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Our panel of key opinion leaders in clinical research from both sponsor and provider side will discuss the innovation happening in clinical trial design, recruitment, and execution. We will talk about the challenges facing sites t impacting day-to-day care and clinical research. Panelists will discuss innovative approaches to traditional ways of running clinical trials. One area that has promise of making a big impact is the use of AI to help sites and sponsors reduce burden on staff and sites.
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