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AtScale Accelerates Big Data Analytics Deployments in the Cloud

AtScale announced the availability of a universal semantic platform for business intelligence (BI) with Microsoft Azure HDInsight. With this offering, in one click, enterprises gain faster time to insight by deploying Big Data Analytics on Azure in minutes, and benefit from an enhanced ROI by running production-ready workloads on the productive and intelligent Azure cloud platform.

Overcoming the AI Silo: Taking a People-First Approach

In this special guest feature, Rohit Adlakha, VP & Global Head – Wipro HOLMESTM and Automation Ecosystem, Wipro Limited, discusses how the biggest roadblock to complete AI transformation is not the technology itself – but how teams work effectively together to implement across work streams. Aligning individuals and departments on AI strategies and goals can be a challenging hurdle, but is a key to ensure that a seamless vision is shared by employees and C-level executives, company wide.

IBM Expands Watson Data Platform to Help Unleash AI for Professionals

IBM (NYSE: IBM) announced new offerings to its Watson Data Platform, including data cataloging and data refining, which make it easier for developers and data scientists to analyze and prepare enterprise data for AI applications, regardless of its structure or where it resides. By improving data visibility and security, users can now easily connect and share data across public and private cloud environments.

Is Your Business AI-ready?

Despite fears that robots will replace human labor, the majority of artificial intelligence (AI) leaders (79 percent) expect their employees will work comfortably with robots by 2020, according to this new global study released by our friends over at Genpact of C-Suite and senior executives titled, Is Your Business AI-Ready? Yet, additional findings from the survey show that inherent organizational challenges may impede this expectation.

Medial EarlySign Machine Learning Algorithm Predicts Risk for Prediabetics Becoming Diabetic Within 1 year

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of its clinical data study on identifying and stratifying prediabetic patients at high risk for progressing to diabetes within one year.

The Analyti-fication of Applications

In this special guest feature, Kyle Wild, CEO and founder of Keen IO, outlines ways for small companies with few resources hoping to compete in markets where analytics is a competitive weapon, must find a way to engage analytics capabilities. This is driving the push for adding analytics into applications.

Successfully Predict Content Users Will Like Using a Recommendation Engine

Recommendation engines can be used to improve businesses across industries, from media to e-commerce and more. A new report from Dataiku explores the ins and outs of these tools and explores how recommendation engines can be an effective way to drive more eyes to your content.

deepsense.ai Popularizes Machine Learning at European Universities as Part of the Intel Nervana AI Academy

deepsense.ai will train hundreds of European students in the upcoming three months as part of the Intel® Nervana™ AI Academy. Students will get the valuable opportunity to gain practical knowledge in two of the most cutting‑edge and fast developing areas of data science, machine learning and deep learning.

Market to Market: The Return of the CPM

In this contributed article, Yoav Oz, Co-Founder of Spotad, delves into the return of CPM and the events that lead to its crucial comeback. He explains the reasoning for keeping this older, yet necessary, system on the AdTech scene.

NVIDIA Launches AI Cloud Container Registry to Accelerate Deep Learning; Volta GPUs Debut on AWS

NVIDIA announced immediate availability of the NVIDIA® GPU Cloud (NGC) container registry for AI developers worldwide. In just a few steps, NGC helps developers get started with deep learning development through no-cost access to a comprehensive, easy-to-use, fully optimized deep learning software stack.