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TOP 10 insideBIGDATA Articles for June 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.

insideBIGDATA Guide to Big Data for Finance

This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide to Big Data for Finance, provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

Tableau Extends Augmented Analytics, Bringing the Power of AI to Everyone

Tableau, a leading analytics platform (NYSE: CRM), is bringing data analytics and AI together in a suite of new and expanded augmented analytics features. Tableau’s latest release will empower more people with the right technology to make smarter and faster decisions regardless of their role and skill level.

eBook: How to Use Third-party Data to Make Smarter Decisions

Your business is reliant on data. The insights gained by using third-party data to complement your internal data can help you make smarter decisions when used with your internal data. At AWS Data Exchange can accelerate that capability. To help, we put together an eBook of our technical blogs that focus on using data from third-party providers to make informed decisions faster.

The Amazing Applications of Graph Neural Networks

In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.

Business Intelligence vs. Operational Intelligence – What Businesses Should Know

In this contributed article, Ratheesh Raveendran, COO of OpsVeda, discusses the key differences between business intelligence and operational intelligence systems, how businesses should make informed decisions when looking to implement the technology and how their outcomes will differentiate depending on the select system.

insideBIGDATA Guide to Big Data for Finance

The goal for this insideBIGDATA technology guide, sponsored by Dell Technologies, is to provide direction for enterprise  thought leaders on ways of leveraging big `data technologies in support of analytics  proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.

“Above the Trend Line” – Your Industry Rumor Central for 6/23/2021

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.

Data, Data Everywhere–Are You Capturing The Data Gold From Your Facilities?

In this special guest feature, Michael C. Skurla, Chief Product Officer of Radix IoT, points out that with previously untapped information now at their fingertips, facilities owners and operators are no longer challenged with automating their digitized facilities. They tap into IoT platform solutions to gain valuable big data transformed into actionable insight for a full, in-depth view of all their building’s systems across distributed facilities beyond just the physical building operations.

Solidifying Absolute and Relative Data Quality with Master Data Management

In this contributed article, editorial consultant Jelani Harper highlights that contrary to popular belief, data are not the oil, fuel, energy, or life force coursing through the enterprise to inform decision-making, engender insights, and propel timely business action rooted in concrete facts. Data quality is.