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The latest big data news and articles

Introducing Flo – Bringing Deep Learning to Video Editing

Everyone loves to shoot videos but don’t know what to do with them. Editing videos is difficult, time consuming and a skillful job. NexGear Technology has built Flo – an intelligent camera and movie maker app that auto-edits raw video footage into short cinematic movies using deep learning and artificial intelligence. Flo combines machine learning, computer vision, and natural language processing to put together the interesting moments from your videos into a short cinematic movie.

Lexalytics® Releases New Text Analytics Software for Retailers to Improve Online Shopping Experience

Lexalytics®, a leader in cloud and on-prem text analytics solutions, announced the eCommerce Industry Pack, a specialized version of the company’s text analytics software. The eCommerce Industry Pack is engineered to help online retailers enhance the customer experience, including checkout and payments, shipping and delivery, and the site’s overall shopping performance.

Big Data – A Game Changer in the Music Industry

In this contributed article, content contributor Ravindra Savaram discusses the ways that big data is becoming transformative for the music industry. For a long time, the music industry is in need of a facelift and the advent of big data seems to fulfill this. The musicians might be provided with a more successful revenue model with the emergence of big data.

AI vision system PIXEVIA Recognizes Cars and People on Video in Real-time for Smart Cities

Well functioning traffic flows, real-time parking availability, increased security and swift crime solving, cost-efficient defect detection in the infrastructure or updates on road conditions – smart cities could already be taking advantage of real-time fully automated video surveillance from drones, ground vehicles with video cameras and CCTV, Lithuanian startup PIXEVIA claims.

Do Security Professionals Really Need Big Data?

In this contributed article, tech writer Linda Gimmeson discusses two basic approaches to securing big data: staying small and strategic, or leveraging big data for a broader approach. Either approach can be successful, but it is up to the organization and security professionals to strategically decide how much big data they actually need.

Actian Launches Actian NoSQL, Object-Oriented Database Designed To Deliver Enterprise-Class Performance

Actian, the hybrid data management, analytics and integration company, announced the newest version of the Actian NoSQL database, combining object technology and enterprise-class database features to provide solutions for businesses with complex data models. Actian has reinvented the traditional object-oriented database to deliver the first NoSQL database with enterprise-class performance and scale.

Impetus Technologies Unveils New, TensorFlow-Based Deep Learning Feature on Apache Spark for StreamAnalytix

Impetus Technologies, a big data software products and services company, announced integration of a new, deep learning capability for its StreamAnalytix™ platform. Based on the TensorFlow™ open source software library for machine learning, this new capability demonstration showcases an image recognition application running on an Apache Spark Streaming pipeline on StreamAnalytix.

TERATEC 2017 Forum – The International Meeting for HPC, Simulation, Big Data

The TERATEC Forum is a major event in France and Europe that brings together the best international experts in HPC, Simulation and Big Data. It reaffirms the strategic importance of these technologies for developing industrial competitiveness and innovation capacity. The TERATEC Forum welcomes more than 1 300 attendees, highlighting the technological and industrial dynamism of HPC and the essential role that France plays in this field.

3 Reasons How Natural Language Processing Can Help Healthcare Providers

In this special guest feature, Ravi Gopalan, Founder & Chief Technology Officer at Binary Fountain, discusses how healthcare providers can begin to understand and act on the increasing amount of data with patient feedback management solutions using healthcare-specific natural language processing (NLP).

Brodmann17: The Startup Working to Eliminate the Need for Nvidia GPUs

Brodmann17, a developer of proprietary deep learning algorithms that increases overall speed and efficiency in processors, while eliminating the need for Graphic Processing Units (GPU), is announcing its official launch and the completion of a $1.6 million seed round led by lool ventures with Samsung Next and Sony Innovation Fund participating. The funds will be used to enable Brodmann17 to continue developing its deep learning technology for some of the world’s leading manufacturers, and speed up image processing 20x: from less than one image per second to real-time on standard CPUs.