OpenSensors

techiexpert | March 12, 2020

Technology serves as an enabler for the real-time business transformation; Big Data analytics technology makes the enterprise much more agile in the matter of maintaining pace with the help of ever-changing customer needs and some of the latest business trends. The prominent data innovators today use the analytical tools for the high level of forecasting as well as with the real-time visualization.Businesses that help to embrace the analytics technology transform their business models, and even ...

spectrum.ieee.org | March 05, 2020

Demand for data scientists and engineers has, for the past couple of years, been off the charts. The number of openings for machine learning and data engineers posted on recruiting web sites continues to grow by double digits annually, and those working in the field have been commanding ever-higher salaries.Joining the ranks of these desperately sought after techies takes serious coding chops, definitely expertise in Python, along with familiarity with other languages. That combination of job op...

RiskSpan | August 14, 2020

RiskSpan, a market leader in analyzing and forecasting the performance of loans and structured products, today announced the integration of Intex forbearance data into its Edge platform, allowing analysts to forecast bond performance leveraging loan-level data. The move will enable the industry to more accurately analyze loans in forbearance as a result of COVID-19. RiskSpan's Edge platform brings transparency to investors by aggregating data across multiple market sources and offering a sui...

BIG DATA MANAGEMENT,DATA SCIENCE

Cloudera | August 18, 2022

Cloudera, the hybrid data company, today announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse software as a service (SaaS) offering that enables fast and easy self-service analytics and exploratory data science on any type of data. A simple yet powerful cloud service, only CDP One has built-in enterprise security and machine learning (ML) that requires zero cloud, security or monitoring operations staff for lower TCO and reduced risk. Designed to make both data ...