How fast can your coffee machine accelerate business growth? Of all the demos I saw at SAP TechEd Barcelona, digital twins was among the most fascinating. Opportunities explode and industries implode when everyday items like coffee machines power a direct conversation between customers, companies and suppliers, not only crunching high-volume, actionable data in real-time, but also looking into the future. It's not surprising digital twins made it into Gartner Research's top 10 trends for 2017. Those analysts predict hundreds of millions of things will be represented by digital twins within three to five years.
Companies today are turning to data science to extract actionable insight from their big data. But data scientists are scarce and are expected to grow even scarcer as this demand rises. Software companies are looking to bridge this human resource gap by weaving mathematical and statistical capabilities into automated data science tools. But data science is an expansive field, matched in scope by the diverse methodologies developed to derive insight from big data. Today's we'll be examining three radically different and technologically visionary solutions.
DESCRIPTION Amazon.com is ranked as one of the most admired companies in the US, #1 most innovative, and # 1 in Customer Service. Amazons technology business has a history and tradition of leading the world in Web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses take their computing infrastructures and applications into the Cloud. Amazon leaders have said publicly that AWS can become as big as our retail business and includes a fast paced release cycle that saw 400 features launched in 2014. The AWS Support team is both a self-standing P&L and a critical operational function with the ability to drive Free Cash Flow and a world-class customer experience.
STRATA DATA -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics optimized for the cloud, today announced new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New machine learning capabilities make it easier for data scientists to quickly train and deploy models with higher confidence and lower risk. Massive increases in performance, scale and capacity of Cloudera's modern data platform help organizations keep pace with the explosive growth and diversity of data in their business. These new capabilities enable data teams to collaborate more effectively and deliver models to production faster, enabling secure access to enterprise-scale, high-performance data and compute, both on-premises and across public clouds. Click to tweet: NEWS: @Cloudera empowers enterprises to propel their digital transformation with updates to #cloud and #datascience offerings: http://bit.ly/2Izoqjc
With the abundance of data collected within hospital systems, executives often look to big data analytics for healthcare to support improvements in patient care, safety and operations. Fortunately, vendors are beginning to introduce new features and capabilities to address the challenges of big data analytics for healthcare. To convert data insights into actions, end users need analytics tools that can deliver business process automation. Big data analytics for healthcare allows hospital end users to gain new insights into population health, operations and other areas.