Sign up for our newsletter and get the latest big data news and analysis.

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.

Book Review: Architects of Intelligence by Martin Ford

The new title “Architects of Intelligence – The Truth About AI from the People Building It,” by futurist Martin Ford is a real gem and worthy read for several groups of people: data scientists, AI researchers, enterprise decision makers, and while we’re at it, we can also throw in folks who are working to transition into this dynamic field that is in such high demand right now.

“Above the Trend Line” – Your Industry Rumor Central for 1/14/2019

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.

The insideBIGDATA IMPACT 50 List for Q1 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

TOP 10 insideBIGDATA Articles for December 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.

“Above the Trend Line” – Your Industry Rumor Central for 1/7/2019

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.

Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.

“Above the Trend Line” – Your Industry Rumor Central for 12/31/2018

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.