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Skytree Patented Automation Gets Smarter and Enables Us to Deliver Machine Learning as a Service with the Release of Skytree 16.0

Skytree, a leader in enterprise machine learning on big data, announces the release of Skytree 16.0 and Skytree’s Machine Learning as a Service offering. We continue our trend of increasing ease of use via unprecedented automation, further enabling non-data scientist users to access the power of enterprise grade machine learning, gain insights, and to add value to their business.

Deep Learning by Yann LeCun

The Institute for Scientific Computing Research (ISCR) sponsored the talk below entitled “Deep Learning” on April 16, 2015, at the Lawrence Livermore National Laboratory. The talk was presented by Yann LeCun, director of AI research at Facebook and professor of data science, computer science, neural science and electrical engineering at NYU.

Amplifying Human Potential: Towards Purposeful Artificial Intelligence – A Perspective For CIOs

Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, released multinational research findings on artificial intelligence (AI) business impact, market maturity and expectations. The research report, Amplifying Human Potential: Towards Purposeful Artificial Intelligence, polled 1,600 senior business decision makers at large organizations across the world.

Get Up to Speed with Data Science in 7 Easy Steps

In this article, we’ll make sense of data science for those unacquainted with the field and outline a series of 7 easy steps to get up to speed with the technology. In doing so, we’ll highlight the integral steps in the “data science process,” so you can get a good grasp of how data science works and how it is of value to enterprises seeking to maximize the value of their data assets.

Personalization and Scalable Deep Learning with MXNET

The presentation below by Alex Smola is “Personalization and Scalable Deep Learning with MXNET” from the MLconf San Francisco, 2016. User return times and movie preferences are inherently time dependent. In this talk, Alex shows how this can be accomplished efficiently using deep learning by employing an LSTM (Long Short Term Model). Moreover, he shows how to train large scale distributed parallel models using MXNet efficiently.

2017 State of Analytics Adoption Report

The annual State of Analytics Adoption Report by our friends at Logi Analytics provides insights for executives, product managers, and technology leaders on how broadly and deeply users are adopting business intelligence and analytics tools. The 2017 survey respondents included members of IT teams who provide analytics tools to end users, as well as the end users of BI and analytics tools.

NewVantage Partners Releases 5th Annual Big Data Executive Survey for 2017

NewVantage Partners, strategic advisors in big data and business innovation to Fortune 1000 businesses, has released the results of its 2017 5th Annual Big Data Executive Survey, entitled “Big Data Business Impact: Achieving Business Results through Innovation and Disruption.” The 2017 Big Data Executive Survey reports what executives from 50 Fortune 1000 firms see as the key factors driving big data adoption, investment – and success.

Monte Carlo Simulations in Ad-Lift Measurement Using Spark

In this talk from Spark Summit East 2016, Prasad Chalasani explores some of the challenges that arise in setting up scalable simulations in a specific application, and share some solutions and lessons learned along the way, in the realms of mathematics and programming.

451 Research Survey Shows 71% of Enterprises Now Capturing Data for IoT

451 Research’s latest Voice of the Enterprise: Internet of Things (IoT) Organizational Dynamics survey of nearly 1,000 enterprise IT buyers worldwide reveals that 71% of enterprises are gathering data for IoT initiatives today. This is a three percentage point increase from the previous quarter’s Voice of the Enterprise: IoT Workloads and Key Projects survey.

Data Overload: Raising the Information Generation

In this TEDx presentatin, Reuben Vendeventer’s talk is pitched towards students, but it’s useful for business people too. The value in Vendeventer’s talk is his orientation towards data and the information age. He conceptualizes our knowledge of DNA as data points. This kind of reorientation is a solid start for any learner’s relationship with the data behind business intelligence.