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TOP 10 insideBIGDATA Articles for July 2021

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.

Book Review: Mathematics for Machine Learning

“Mathematics for Machine Learning” by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong, published by Cambridge University Press, is an excellent way to learn the math behind the models. This review shall highlight all the ways this book is special among the competition. Of all the books I’ve reviewed thus far, this is my favorite. Read on to learn why.

insideBIGDATA Guide for Higher Education – Part 3

[Sponsored Post] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide for Higher Education, discusses how higher education leaders today want to improve student and institutional success through digital transformation. Dell Technologies is uniquely positioned to help at every step of the way, leveraging a robust portfolio of solutions for data analytics, AI and HPC and coupled with a deep understanding of the missions, visions, and strategies of higher education institutions.

NVIDIA Advances Instant AI with North American Availability of Base Command Platform

NVIDIA today announced the North American availability of NVIDIA Base Command™ Platform, a hosted AI development hub that provides enterprises with instant access to powerful computing infrastructure wherever their data resides.

Why Modeling Languages are the Key to Data-Based Decision Making

In this contributed article, Angshuman Guha, CEO and Co-Founder of bipp, discusses how businesses are now looking at data in different ways, with CIOs forecast to spend more on data and business analytics than any other technology. This creates an urgent need to build trust in the data to realize the return on this investment. Data modeling languages ensure everyone uses the same vocabulary to represent critical KPIs and data. They improve data quality, collaboration, productivity while reducing inconsistencies, which all lead to trust.

Infographic: The Rise of AI in the Call Center Industry

Artificial intelligence will soon break into the call center industry even more to complement the work of human agents, and its wide potential applications are promising. The infographic below courtesy of our friends over at Executive Boutique will show you some statistics about artificial intelligence and how call centers can integrate AI into their existing business processes.

ITOps and Big Data Come of Age

In this contributed article, Bhanu Singh, SVP of Engineering and DevOps at OpsRamp, discusses how there are new demands on IT operations to deliver more inclusive data intelligence that can support decision-making at large across IT and the business. ITOps teams have a growing mandate to positively influence business and customer-related outcomes; their ability to collect, analyze and use data to support many types of decision-making is now top-of-mind.

“Above the Trend Line” – Your Industry Rumor Central for 7/29/2021

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.

Turning Big Data into better data with MLOps

In this special guest feature, Chida Sadayappan, Lead Specialist for Data Cloud and Machine Learning at Deloitte Consulting, discusses Machine Learning Operations (MLOps). This emerging discipline uses automation to accelerate ingestion of data and to more quickly develop, test, deploy, and monitor cloud machine learning (ML) models that use Big Data. Taken together, these steps comprise governance practices that help ensure the integrity of data throughout its life cycle.

insideBIGDATA Guide for Higher Education – Part 2

[Sponsored Post] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide for Higher Education, discusses how higher education leaders today want to improve student and institutional success through digital transformation. Dell Technologies is uniquely positioned to help at every step of the way, leveraging a robust portfolio of solutions for data analytics, AI and HPC and coupled with a deep understanding of the missions, visions, and strategies of higher education institutions.