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“Above the Trend Line” – Your Industry Rumor Central for 7/14/2022

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.

What Does It Mean to be Data Intentional?

In this contributed article, Kevin Harbauer, Chief Technology Officer at Ephesoft, discusses becoming data intentional, sets the stage for why this concept is important and offers four strategies to achieve it. The success of your data intentionality strategy hinges on the effectiveness of your data capture capabilities. Without access to accurate, timely and actionable data, your organization’s plans will fall well short of expectations. Are you ready to become data intentional? 

Data and Automation — The Answers to Protecting Profit Margins and Realizing New Growth

In this contributed article, Dash Bibhudatta, General Manager, Deductions for Inmar, discusses the CPG space from extraction, validation, and recovery, to delivering insights to inform prevention, opportunities for improvement, and retailer relationships — introducing data and automation to deductions management should be a no-brainer.

Algorithm Predicts Crime a Week in Advance, but Reveals Bias in Police Response

Advances in machine learning and artificial intelligence have sparked interest from governments that would like to use these tools for predictive policing to deter crime. Early efforts at crime prediction have been controversial, however, because they do not account for systemic biases in police enforcement and its complex relationship with crime and society. Scientists have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. The model can predict future crimes one week in advance with about 90% accuracy.

TOP 10 insideBIGDATA Articles for June 2022

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.

Heard on the Street – 7/5/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

insideBIGDATA Latest News – 6/27/2022

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

“Above the Trend Line” – Your Industry Rumor Central for 6/23/2022

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.

Streamlining Data Evolution in a Rapidly Changing World

In this contributed article, Adam Glaser from Appian believes that in a fast-changing, digital-driven world, having access to the right data at the right time is crucial. That is why, as data evolves, it must be brought together in a reliable and efficient way that creates a powerful asset, not a compliance challenge. 

Heard on the Street – 6/20/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.