In this contributed article, data engineer Koushik Nandiraju discusses how a predictive data and analytics platform aligned with business objectives is no longer an option but a necessity. While... Read more »
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... Read more »
In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and... Read more »
In this special guest feature, Jugdip Bath, Xero’s Executive Vice President of Product Engineering, discusses how many businesses are taking advantage of the explosion in low-code development, which are... Read more »
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,... Read more »
In this contributed article, Latané Conant, Chief Market Officer of 6sense, offers her perspective on how enterprise sales/marketing teams can still identify leads generate revenue, even with ever-changing privacy rules/regulations.... Read more »
In this contributed article, Ken Payne, Hyland’s Product Manager for Automation, discusses how organizations can avoid the associated risks when working to implement AI, mitigate data bias, improve data... Read more »
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... Read more »
In this contributed article, Chonchol Gupta, CEO, Rebirth Analytics, believes that if enterprises want to identify and swerve risk, they require a radical rethink of how they obtain the... Read more »
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.... Read more »