Big Data Week

| June 01, 2016

Constrained by full valuations and buyer caution, the Australian market looks set to follow the tone of US markets with a nervous opening session.A big turnaround in US consumer spending in April is positive news for world economies. April’s figure offsets a run of weaker spending data in recent months. It brings the trend more into line with what you would expect given income growth and provides a solid foundation for US 2nd quarter GDP growth. Taken together with news of a softer a consumer co...

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...