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Machine Learning Tools You Should Know About

In this contributed article, tech writer Linda Gimmeson goes over a short list of the most popular developer tools for machine learning practitioners including Amazon Machine Learning, Tensor Flow, Azure Machine Learning Studio, H20, Caffe, MLlib, and Torch.

Informatica Raises the Bar with Cloud Data Lake Management Solution

Informatica®, a provider of data management solutions and recognized as a big data fabric leader by Forrester, announced Informatica Cloud Data Lake Management, a comprehensive solution for managing data lakes in either cloud or on-premise environments.

Use Data to Level the Diversity Playing Field

In this special guest feature, Jen Grant, CMO of Looker, makes the observation that if you’re talking diversity in business, you have to speak data. Percentages of the workforce that are women, people of color, gay, transgender – these are the metrics that businesses are measured against, and leaders often talk up their numbers when they compare favorably to peers.

“Above the Trend Line” – Your Industry Rumor Central for 4/17/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items 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.

Looker Brings Actionable Insights to Critical Marketing Data on Google Cloud Platform

Looker launched a suite of Looker Blocks designed to give marketers the tools to enhance analysis of their critical data. Compatible with Google BigQuery Data Transfer Service, Looker’s new Looker Blocks deliver a powerful, plug-and-play platform to turn data into actionable insights so that marketing organizations can use Looker to get greater value from their data immediately.

Dataguise Strengthens Sensitive Data Governance in the Cloud with Support for Google Cloud Storage

Dataguise, a leader in sensitive data governance, announced that DgSecure Detect now supports sensitive data detection on Google Cloud Storage (GCS). Integration with GCS extends the range of platforms supported by DgSecure Detect, which helps data-driven enterprises move to the cloud with confidence by providing precise sensitive data detection across the enterprise, both on premises and in the cloud.

How to Solve the Most Common Data Problems in Retail

In the retail business, big data is poised in the coming years to open up huge opportunities in the way stores (both physical and online) fundamentally operate and serve customers. Given the incredibly small margins, Big Data will also provide much needed efficiency improvements – from tighter supply chain management to more targeted marketing campaigns – that can make a big difference to a retail business of any size.

Harte Hanks Brings Next Generation Data and Analytics to Marketers with Opera Solutions’ Signal Hub Platform

Harte Hanks ( NYSE : HHS ), a leader in customer relationships, experiences, and interaction-led marketing and Opera Solutions, a leader in Data Analytics, announced the market availability of their data and analytic solution delivered through Opera Solutions’ Artificial Intelligence (AI) and Machine Learning platform, Signal Hub™.

Predicting Mobile App User Churn: Training & Scaling Our Machine Learning Model

In this contributed article, Lisa Orr, senior data scientist at Urban Airship, describes how her team predicted mobile app user churn and Urban Airship trained and scaled their machine learning model over the last year — and how now it’s reaping valuable insights.

GridGain Professional Edition 1.9 Improves Performance, Adds Kubernetes® Support

GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, announced the availability of GridGain Professional Edition 1.9, a fully supported version of Apache Ignite 1.9. GridGain Professional Edition 1.9 includes improved performance and automated benchmarking, Kubernetes® support for deploying containerized Ignite clusters, expanded support for data manipulation language (DML), and more.