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“Above the Trend Line” – Your Industry Rumor Central for 7/24/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Is Customized Healthcare a Near Term Reality?

In this special guest feature, Abdul Hamid Halabi, the global business development lead for healthcare and life sciences at NVIDIA, discusses how personalized or precision medicine is becoming a reality with the help of a machine learning method called deep learning.

Revulytics’ Software Usage Analytics Solution Delivers Enhanced In-Application Messaging

Revulytics, Inc., a leading provider of software usage analytics, announced Revulytics™ Usage Intelligence v5 with enhanced ReachOut™ functionality for Windows, macOS, and Linux applications, enabling software providers to create highly personalized customer experiences driven by dynamic in-application messaging and usage analytics insight.

AI Suggests Recipes Based on Food Photos

There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that analyzing photos like these could help us learn recipes and better understand people’s eating habits.

Scality Launches Zenko, Open Source Software To Assure Data Control In A Multi-Cloud World

Scality, a leader in object and cloud storage, announced the open source launch of its Scality Zenko, a Multi-Cloud Data Controller. The new solution is free to use and embed into developer applications, opening a new world of multi-cloud storage for developers.

Interview: Daphne Koller, Chief Computing Officer, Calico; Adjunct Professor of Computer Science, Stanford University

The following is a discussion with Daphne Koller, Chief Computing Officer, Calico Labs; Adjunct Professor of Computer Science, Stanford University; ACM-Infosys 2007 Foundation Award. The Association of Computing Machinery (ACM) just concluded a celebration of 50 years of the ACM A.M. Turing Award (commonly known as the “Nobel Prize of computing”) with a two-day conference in San Francisco. The conference brought together some of the brightest minds in computing to explore how computing has evolved and where the field is headed.

FogHorn Systems Brings Advanced Machine Learning Capabilities to Industrial IoT Edge Computing

FogHorn Systems announced the availability of Lightning ML, the newest version of its Lightning™ edge intelligence software platform for the Industrial Internet of Things (IIoT). Lightning ML is now the industry’s first IIoT software platform with integrated machine learning capabilities and universal compatibility across all major IIoT edge systems.

Five Reasons to Backup Your Hadoop Environment

In this special guest feature, Peter Smails, Vice President of Marketing and Business Development at Datos IO, discusses that in order to achieve enterprise-grade data protection on Hadoop platforms, there are five reasons to consider backup and recovery solutions for big data file systems like Hadoop.

“Hide the Tech” to Take Big Data Mainstream

In this contributed article, Ravi Dharnikota, Chief Enterprise Architect at SnapLogic, examines a number of important trends that are simplifying the adoption of big data such as the cloud, serverless computing, self-service integration, and machine learning/AI. The effect is that these trends tend to actually “hide” the tech to put more focus on the data and the business.

Dremio Introduces Self-Service Data Paradigm for Business Intelligence and Data Science

Dremio, the self-service data company, announced its entrance into the data analytics market with the immediately availability of the Dremio Self-Service Data Platform, a fundamentally new approach to data analytics. Working with existing data sources and business intelligence tools, Dremio’s solution eliminates the need for traditional ETL, data warehouses, cubes, and aggregation tables, as well as the infrastructure, copies of data, and effort these systems entail.