The potential to democratize healthcare through Artificial Intelligence has made it a focal point of digital health and innovation. With hospitals and health systems increasingly charged with managing a broader scope of patient behavior and events like COVID-19 highlighting systematic disparities in care, AI-focused solutions are being surfaced to streamline and automate prevention and communication efforts. Too often these solutions take a hard-coded approach that lacks the ability to learn and grow or an open-source strategy that is too generic to solve for the needs of your population.
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Most organizations run several, perhaps even dozens of monitoring tools. Many teams find themselves adding another monitoring platform when they find a visibility gap in their current view. Despite the number of tools in our toolset, research indicates that many teams still struggle when it comes to overall visibility--or observ
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Technology is making waves in more than just diagnosis and treatment. Learn how game-changing AI technology can be predictive of future CPAP problems.
Watch the on-demand webinar featuring William Hevener RPSGT, BetterNight Clinical Initiatives Manager, and Chris Fernandez, EnsoData CEO, for an overview of the latest research on applying AI to predict CPAP usage.
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Perfecto
Software test automation continues to be a huge challenge to achieving continuous testing in DevOps. Test flakiness and code maintenance — together with the complexity of automating advanced scenarios in shrunken timelines — has created a need for a next-generation test automation solution.Codeless-based test automation powered by smart machine-learning and AI capabilities is best positioned to support test automation challenges and compliment code-based working test automation scripts.
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