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Human Guided Machine Learning is the Golden Path to Golden Records

In this special guest feature, Matt Holzapfel, Solutions Lead at Tamr, addresses how a bottom-up approach recognizes connections in the vast pools of data to identify not only the most reliable data for each entity in the ecosystem, but the means by which that data can reliably be updated — a far faster path to data mastering, and a better way to make sure that data stays golden.

Machine Learning Beyond Predefined Recipes

The next evolution in human intelligence is automating the creation of machine learning models to not follow predefined formulas, but rather adapt and evolve according to the problem’s data. While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. Enter Darwin, a machine learning tool that automates the building and deployment of models at scale.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2019

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.

A Deeper Look: How the 281 Data Breaches in Q1 2019 Will Impact Companies

In this special guest feature, Kevin Gosschalk, CEO, Arkose Labs, believes that machine learning will allow organizations to better monitor authentic and inauthentic traffic, identify what the incoming traffic looks like and act against the traffic if labeled as inauthentic to stop automated fraud before it happens.

AI-Driven Data Catalogs: How to Find the Right one for Your Business

The commoditization of data has opened a world of opportunities up for countless enterprises. But as big data explodes, metadata initiatives are failing, and data discovery and retrieval is getting more and more difficult. A new white paper from IO-Tahoe explores data catalogs as a potential answer to this challenge.

TOP 10 insideBIGDATA Articles for May 2019

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.

GE Introduces New Analytics to Advance Electric Grid Operations

GE (NYSE: GE) announced the availability of three new grid analytics that combine domain expertise with artificial intelligence (AI) and machine learning (ML) to tackle pressing challenges in electric grid operations. The new portfolio uses data from across transmission and distribution networks to help achieve goals for operational efficiency.

Mind Foundry Launches Machine Learning Platform to Transform Business Problem Owners into Citizen Data Scientists

Mind Foundry, a technology spin-out from the University of Oxford’s Machine Learning Research Group (MLRG), announced the commercial launch of a revolutionary humanized machine learning platform. For the first time the new cloud-based platform allows anyone, of any technical ability and in any size of organization, to swiftly unlock the full value of ever increasing volumes of data to make decisions on complex business issues without the need for data scientists.

Why Natural Language Processing is the Next Big Thing for Insurers

In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction.

Machine Learning Based Traffic Sign Recognition ‘Most Influential’ Innovation of Past Decade

A research paper which revolutionized how cars read traffic signs has been recognized as the ‘most influential over the decade’ at a ceremony in Tokyo. The ideas the paper put forward have now found their way into everything from autonomous cars to controversial upcoming changes in EU law.