Notes about Cutting-Edge Technologies and Everything

Datanami  is pleased to announce the results of its fourth annual Readers’ and Editors’ Choice Awards, which recognizes the companies, products, and projects that have made a difference in the big data community this year. These awards, which are nominated and voted on by Datanami readers, give us insight into the state of the community. We’d like to thank our dedicated readers for weighing in on their top picks for the best in big data. It’s been a privilege for us to present these awards, and we extend our congratulations to this year’s winners. Best Big Data Product or Technology: Machine Learning Readers’ Choice: Elastic Editor’s Choice: SAS Visual Data Mining & Machine Learning Best Big Data Product or Technology: Internet of Things Readers’ Choice: SAS Analytics for IoT Editor’s Choice:  The Striim Platform Best Big Data Product or Technology: Big Data Security Readers’ Choice: Cloudera Enterprise Editor’s Choice: Elastic Stack Best Big ...

We have entered the data age, where insights from streams of data can offer organisations valuable insights. Obtaining these insights is done using machine learning and the next generation in machine learning, deep learning, offers businesses the ability to streamline operational processes and cut costs. As long as development costs remain under control, organisations can achieve a positive ROI on their investments.  The next phase of machine learning, deep learning, relies on large amounts of data to train the algorithms. Normally, this would incur high-costs, but thanks to IBM’s new Watson Studio costs can be kept low, resulting in a positive ROI for organisations. IBM Watson Studio allows you to train your models and easily add functionality thanks to their APIs using a pay-as-you-go model. IBM Watson Studio solves the main issues of developing neural networks: complexity, standardisation and skills gaps, making deep learning also available to small organisations. ...