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Feature market insights and perspectives from top C-Level executives, elite technology influencers and thought leaders from your company here. This signature initiative has garnered immense support...
http://customerthink.com | August 02, 2019
Data integration and .NET has been a vital part of the system for a longer period of time. However, .NET become one of the favorite languages for developers and hence they have started to adopt Big Data into their development. The built-in functionalities allow the developers to work on big and complex applications. Due to its flexible, secure and robust nature, the Big Data Development Services are now taking initiative and its demand in the market has increased to offer the best possible solut...
techhq.com | January 13, 2020
Transporting one million commuters each day, 92 percent of Dutch Railways Nederlandse Spoorwegen’s (NS) trains arrive on time, making it the third-most punctual rail service in the world, behind Switzerland and Japan. While certain delays are unavoidable results of severe weather or obstructions on the line, for exampleNS owes its industry-leading scheduling to big data analytics, thanks to thousands of sensors on its locomotives. As reported in TNW, NS has been leveraging the power of pre...
healthcareitnews.com | January 13, 2020
Healthcare providers are failing to integrate digital data platforms into their IT infrastructure, and and analytics into their clinical and operational workflows. This despite widespread availability of the technology and a definite need for it, given the demands of value-based reimbursement.Those were among the findings of a Black Book survey of 748 providers organizations, which found utilization of advanced analytics was described as "negligible" by a whopping 80% of respondents.Me...
https://analyticsindiamag.com | January 14, 2020
AutoML or automated machine learning has witnessed an exponential rise when it comes to being adopted by the organisations. AutoML can be said as the next wave of machine learning which helps to bridge the gap between talent landscape and complex workflows. Previously in one of our articles, we had discussed the functionality of AutoML and how it solves data science problems. Building complex deep learning models from scratch can be said as one of the most time-consuming and challenging tasks in...
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