Ivy’s Data Science Weekly 16032021

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Change Healthcare and Amazon Web Services (AWS) recently announced a new Data Science-as-a-Service (DSaaS) offering to help life science organizations. 
The DSaas offering provides de-identified claims data, enhanced with social determinants of health information. As a result, it allows for enhanced health IT security and care tailored for customers seeking to develop and deploy compliant health analytics at scale. 
ClearScale is a leading cloud systems integrator and Amazon Web Services (AWS) is a premier consulting partner. They announced that ClearScale has achieved AWS Machine Learning Competency status in the new Machine Learning Operations (ML Ops) category.
Not only this designation recognizes that ClearScale has demonstrated deep experience but also shows the expertise in building or integrating ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions. It involves activities ranging from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence.
Marketers rely on data science teams for modeling. However, it is difficult for them to deal with the unavailability of industry-standard or type-tested AI / ML models. Comviva’s Data Science in the form of a Service (DSaaS), together with the MobiLytix AIx solution, provides proven, and ready-to-use artificial intelligence (AI) and machine learning (ML) models. Not only it serves to improve the use of AI by communications service providers (CSPs), but also it increases the profitability of their customer value management programs.
Until now, machine learning in battery technology was limited to identifying patterns in data to speed up scientific analysis. The latest discovery will help researchers in designing and developing longer-lasting batteries.
In other words, the research team has been working to develop a long-lasting electric vehicle battery that can be charged in 10 minutes. According to Patrick Herring, a senior scientist of Toyota Research Institute, “Battery technology is important for any type of electric powertrain. By understanding the fundamental reactions that occur within the battery we can not only extend its life, but also enable faster charging, and ultimately design better battery materials. 
TCP (TimeClock Plus) is a leading provider of workforce management and time and labor solutions. It has announced the launch of Demand-Driven Scheduling, which is a robust scheduling product built by Humanity. Additionally, it is TCP’s industry-leading cloud-based employee scheduling platform. Not only does Demand-Driven Scheduling allows companies to integrate vital business drivers within the scheduling process, but also always ensuring optimized, data-driven staffing by transforming customers’ KPIs and other key business data into staffing rules that are used to create schedules. Hence, this ensures schedules are in line with actual business needs and can shift with demand fluctuations.
TCP’s Humanity Scheduling platform automates the traditional, paper-driven process of creating schedules and staffing needs. Moreover, it provides increased flexibility and improved usability. With Demand-Driven Scheduling enabled, it becomes the first step in the automated schedule flow process. The solution ingests complex data so that users don’t need to change their current workflows, making it ideal for customers in industries with particularly cumbersome scheduling processes, such as healthcare, retail, and hospitality.

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