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

How Machine Learning is Improving Business Intelligence

In this contributed article, Lauren Adley, writer and editor at Essay Writing In Australia, discusses how machine learning (ML) is improving BI. The ML ability to streamline operational processes is probably its most important way. With the help of intelligent IT automation, productivity boosts can be massive, and this is why this aspect of ML is attracting a lot of attention.

Machine Learning Deployment Options: in the Cloud vs. at the Edge

In this special guest feature, Neil Cohen, Vice President at Edge Intelligence, examines the question: where should businesses develop and execute machine learning? This article explores the pros and cons of in the cloud versus at the edge.

TOP 10 insideBIGDATA Articles for January 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. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

“Above the Trend Line” – Your Industry Rumor Central for 2/4/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

“Above the Trend Line” – Your Industry Rumor Central for 1/28/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

“Above the Trend Line” – Your Industry Rumor Central for 1/21/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

AgilOne Announces Customer Data Platform Update with New Features for Machine Learning

AgilOne, a leading customer data platform for enterprise B2C brands, announced major advances in machine learning, as well as enhanced reporting capabilities and new features to maximize the profitability and results of couponing programs. These new capabilities further AgilOne’s strengths as the only customer data platform with the ability to support the advanced needs and use cases of the enterprise.

Equifax Delivers on Data for Customers in 2018

Equifax Inc. (NYSE: EFX) delivered on its commitment to helping customers make smarter decisions with unique data throughout 2018 with the introduction of new solutions, technologies and services across multiple industries. Hundreds of data scientists in the global Equifax Data & Analytics Lab work every day to better connect the company’s unique data with the unique needs of customers through a relentless pursuit of new innovation in predictive analytics, machine learning and explainable artificial intelligence (AI).

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