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How We Implemented (and Secured) a Big Data Microservices Infrastructure

In this contributed article, Tobias Gurtzick, Security Architect, and Dr. Sayf Al-Sefou, CTO at Arvato Infoscore, discuss the pretty lofty big data challenge stemming from their company’s monolothic architecture, and how they got through it (with particularly data sensitivity being in the financial services space and thus subject to tighter regulations).

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.

2018 Will Bring Convergence of AI and Process Automation

In this special guest feature, Alain Gentilhomme, Chief Technology Officer at Nintex, explores the top AI and process automation trends we can expect to see throughout the rest of the year. One of the most useful developments in artificial intelligence this year will be the convergence of artificial intelligence and process automation.

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.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Agorai to Democratize AI with the Launch of Integrated Marketplaces

Agorai, the integrated marketplaces for Artificial Intelligence (AI) tools and the data assets that fuel them, today announced the Agorai Marketplaces. Designed to remove market inefficiencies, reward data creators and drive measurable value, Agorai brings together data owners and AI companies to create AI-driven solutions that solve real business problems.

Developing a Deeper Understanding of Apache Kafka Architecture

In this contributed article, Paul Brebner, Tech Evangelist at Instaclustr provides an understanding of the main Kafka components and how Kafka consumers work. The Apache Kafka distributed streaming platform features an architecture that – ironically, given the name – provides application messaging that is markedly clearer and less Kafkaesque when compared with alternatives.

How Big Data and Behavior Prediction are Shaping Automotive Dealerships

In this special guest feature, Johannes Gnauck, CEO and Co-Founder of automotiveMastermind, discusses how big data and behavior prediction are shaping automotive dealerships. Through the use of big data and behavioral analytics, it’s possible to precisely target who is ready to buy and create personalized, micro-marketing campaigns designed to increase the probability of completing a sale.

All-in on AI? Five Considerations to Help Ensure Long-Term Success

In this contributed article, Kurt Kuckein, Director of Marketing for DDN Storage, offers five key areas to strongly consider when creating and developing an AI data platform that ensures better answers, faster time to value, and capability for rapid scaling. Analytics, AI and Machine Learning continue to make extensive inroads into data-oriented industries presenting significant opportunities for Enterprises and research organizations. However, the potential for AI to improve business performance and competitiveness demands a different approach to managing the data life-cycle.