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As a Data Scientist, Do You Have to Start Worrying About Blockchain Any Time Soon?

In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a look into Blockchain technology and what it means for the data scientist. When you hear something repeated as frequently and as religiously as the term Blockchain is these days, you cannot help but wonder – am I immune to it’s onslaught?

3 Ways Marketers Should Use Data Science to Skyrocket Marketing Results

In this contributed article, journalist Olivia Ryan provides 3 ways marketers should use data science to skyrocket marketing results. The purpose of “data science” is to solve complex problems that organizations face by means of analytics. In digital marketing, data science becomes critically important.

SWIM.AI Introduces SWIM EDX, Software Delivering Real-Time Intelligence and Digital Twins at the Edge

SWIM.AI, the edge intelligence software company, exited stealth and announced the general availability of its edge software solution, SWIM EDX™, delivering edge intelligence and real-time business and operational insights. Current business intelligence solutions require large volumes of time-series data to be reduced, streamed to the cloud, stored, cleaned, analyzed and then modelled – at great expense and often with significant delays. By applying analytics, self-training digital twins and edge computing, SWIM EDX allows manufacturers, infrastructure providers, enterprises, cities and IoT vendors to analyze and take immediate action on fast edge data.

DimensionalMechanics™ Launches NML 2.0: A Pioneering Programming Language for AI and Deep Learning

Despite the rising demand, most computer programmers and data scientists lack the specialized knowledge and tools required to build deep learning software solutions for their organizations. To address this, DimensionalMechanics™, launched its next-gen NeoPulse™ Framework 2.0, and an easy-to-use programming language, called NML 2.0, to make artificial intelligence (AI) more accessible to any software developer.

Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Stochastic Approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. The most famous examples today are TD- and Q-learning algorithms. This three hour tutorial lecture series, courtesy of the Simon Institute for the Theory of Computing at UC Berkeley, consists of two video segments.

What’s Your Risk of Data Loss in 2018?

In this contributed article, Sheza Gary, a technical director at Algoworks, discusses how the risk of data loss, in the current environment of large scale breaches, is accelerating and should be taken seriously.

Optalysys Demonstrates its Optical Processing Technology Performing Deep Learning

Optalysys Ltd., an innovative technology company commercializing light-speed optical coprocessors for AI/Deep Learning announced they had successfully built the world’s first implementation of a Convolutional Neural Network using their Optical Processing Technology. Launches Productive, Secure Platform for Modern Data Teamwork announced the launch of its data collaboration platform for the enterprise. The new platform breaks down the barriers separating people, data, and business impact to unleash data’s true potential within any organization. Now, data professionals and less-technical stakeholders can work together productively within an integrated, discoverable, collaborative, and secure environment.

TOP 10 insideBIGDATA Articles for February 2018

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 3)

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.