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Cray Powers Breakthrough Discoveries with Urika-XC – Delivering Analytics and AI at Supercomputing Scale

Global supercomputer leader Cray Inc. (Nasdaq: CRAY) announced the launch of the Cray® Urika®-XC analytics software suite, bringing graph analytics, deep learning, and robust big data analytics tools to the Company’s flagship line of Cray XC™ supercomputers. The Cray Urika-XC analytics software suite empowers data scientists to make breakthrough discoveries previously hidden within massive data sets, and achieve faster time-to-insight while leveraging the scale and performance of Cray XC supercomputers.

Creating a Data-Based and Client-Focused Culture

In the world of social media, increasingly quick-moving communication amid rapidly growing data, a company’s culture defines its reputation, and its reputation often defines its success – or failure. Clarity Insights shares how companies can create a data-based and client-focused culture from the top down.

Total Commerce Success in Retail Hinges on How Agile you are with Your Data

In this special guest feature, Silvia Lacayo, Product Marketing, Retail and Consumer Brands for 1010data, makes the point that for success in total commerce, being able to test and learn quickly is key. What that requires in practice is a fast and flexible technology solution in the hands of the business users who will directly benefit. Large volumes of data are not going away, creating an onus on retailers to empower their workforce so they can access and manage data directly and flexibly.

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.

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.

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).

5 Tips to Prepare Yourself for Big Data Analytics

In this contributed article, tech writer Rick Delgado, takes a look at the importance of big data analytics to the enterprise and how best to prepare your organization for the giant leap to implement this tecnology.

Islands of Connectivity: How IoT Keeps Growing

In this special guest feature, William Webb, IEEE Fellow and CEO of Weightless SIG, takes a high-level look at the IoT hype cycle and where we stand at this particular point in time.

Looker Answers Big Data Questions in an ‘Instant’

Looker announced Instant Explore, which allows anyone to instantly and securely analyze their data without waiting for help from an analyst – no coding or SQL is necessary. Using Looker, anyone can now discover patterns and analyze metrics with a few clicks of the mouse. Instant Explore is available today to all Looker customers seeking to instantly understand their data.

Reaching the Next Level of Open Data Maturity – Arriving at Open Data 3.0

In this special guest feature, Adnan Mahmud, Founder and CEO at LiveStories, discusses the next phase of development in the open data movement, what he calls “data 3.0,” which focuses on increasing the usability of large public databases.