Innovation News & Reviews - Page 5
Chris Preimesberger, November 07, 2019 11:26 AM
Tech Deals & Startups
New York City-based Collibra brings a "data shopper's" approach to the task of finding and analyzing volumes of data.
Arxan is adding much-needed mobile security management capabilities. Apperian's platform provides granular security and policy controls at the application level.
More Innovation News
eWEEK DATA POINTS RESOURCE PAGE: To move ahead with DT initiatives and achieve positive outcomes, enterprises are looking for platform-automation capability that allows them to optimize end-to-end operations.
PRODUCT NEWS RESOURCE PAGE: XFMEXPRESS chips were developed to improve the performance of next-generation mobile and embedded applications. It is about the size of a thumbnail yet holds a half-terabyte of data storage, with a full 1TB on the roadmap.
eWEEK DATA POINTS RESOURCE PAGE: Chatbots powered by AI can automate key recruiting tasks, including sourcing, screening, and answering candidate FAQs. But training is still a major factor in how well it will work.
TREND ANALYSIS: Many new capabilities are on the horizon with 5G connectivity: 5G networks in vehicles and alongside roads will let autonomous cars and trucks see road far ahead of them, overtake safely and avoid obstacles. Robotic surgery will likely become more widespread. And that's not...
eWEEK PRODUCT ANALYSIS AND RESOURCE PAGE: RTX Studio Line laptops, based on NVIDIA’s Ray Tracing engine, provide workstation-like, targeted performance without turning the laptop into something too heavy, too expensive and too power-hungry for general day-to-day use.
NEW-PRODUCT ANALYSIS: Chromium version of the Microsoft Edge browser, in beta at this time, adds best attributes of IE, Edge, Google’s Chrome browser and Firefox for enterprise use.
eWEEK RESOURCE PAGE: In this article, you will learn the definitions of no- and low-code development, what types of applications can result, and several real-world use cases demonstrating the technology.
PRODUCT TREND ANALYSIS: Thanks to improvements, such as faster data loading to build graphs quickly, faster execution of parallel graph algorithms and the ability to scale up and out for distributed applications, graph is meeting or even exceeding its promise.