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First Data Launches New Merchant Solution to Prevent Fraud Across All Commerce Channels

First Data (NYSE: FDC), a global leader in commerce-enabling technology, announced the launch of Fraud Detect, a comprehensive fraud solution for merchants around the world. Fraud Detect leverages artificial intelligence and machine learning, fraud scoring, cybersecurity intelligence, and information from the Dark Web to provide merchants with the capability to detect fraudulent in-store, at the pump, online, mobile, and in-app transactions before they occur.

New MapR Quick Start Solution Accelerates Deep Learning Application Deployments

MapR Technologies, provider of the Converged Data Platform that enables organizations to create intelligent applications that fully integrate analytics with operational processes in real time, announced a new Quick Start Solution (QSS) focusing on deep learning applications. The MapR Distributed Deep Learning QSS is a data science-led product and services offering that enables the training of complex deep learning algorithms (i.e. deep neural networks, convolutional neural networks, recurrent neural networks) at scale.

Informatica Intelligent Data Platform Delivers Metadata-driven AI to Power Data-Driven Digital Transformation

Informatica®, the provider of data management solutions, announced a new wave of innovation across the Informatica Intelligent Data Platform™, the industry’s only end-to-end platform for data management and data-driven digital disruption. Central to today’s announcement is the introduction of CLAIRE, the metadata driven artificial intelligence in the Informatica Intelligent Data Platform.

Interview: Matt Winkler, Group Program Manager for Machine Learning at Microsoft

In this podcast interview, we caught up with Matt Winkler, Group Program Manager for Machine Learning at Microsoft, to get his take on the upward trajectory of data science, machine learning and the cloud – specifically Azure. Matt leads a team crafting tools and services to enable data scientists and developers to do more with their data. Originally from St. Louis, Matt has been at Microsoft for 11 years working on developer tools and cloud services such as the .NET Framework, Visual Studio, Azure Websites, Data Lake and HDInsight.

3 Major Impacts of Machine Learning on Manufacturing Today

In this special guest feature, Gary Brooks, CMO at Syncron, outlines three areas where manufacturers can incorporate machine learning today, and start seeing immediate results.

Field Report: GPU Technology Conference 2017

I was very pleased to attend the GPU Technology Conference 2017 as the guest of host company NVIDIA on May 8-11 in Silicon Valley. This was my second GTC as I became acquainted with the GPU (graphics processing unit) universe last year while attending the conference. This Field Report chronicles what I saw and I’m delighted to share my experience with all of you!

The New Age of Analytics: Artificial Intelligence and Data are Not Enough to Power Your Business

In this special guest feature, Rosemary Radich, Head of Business Intelligence and Data Analytics for AccuWeather, discusses the importance of the weather data dimension as an adjunct to traditional data sources in capturing the broader picture impacting behavior and results from machine learning.

Meet Flo – The First Period & Ovulation Tracker that Uses Neural Networks

A major breakthrough in the FemTech domain has recently been done by Flo Period Tracker – the first period tracking app to publicly announce using artificial intelligence for improving cycle predictions. Flo became the most downloaded app worldwide in its category within months after introducing neural networks to its prediction algorithm.

Bringing Artificial Intelligence to Life

Artificial Intelligence (AI) may seem like a vision for a distant future, but in truth, AI is all around us as machines are increasingly learning to sense, learn, reason, act and adapt in the real world. This is transforming industries and changing our lives in amazing new ways, by amplifying human capabilities, automating tedious or dangerous tasks, and solving some of our most challenging societal problems. In this article, we’ll discuss the path to AI with Intel technologies.

NVIDIA to Train 100,000 Developers on Deep Learning in 2017

[GPU Technology Conference Coverage] To meet surging demand for expertise in the field of AI, NVIDIA announced that it plans to train 100,000 developers this year — a tenfold increase over 2016 — through the NVIDIA Deep Learning Institute. Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.