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Addressing Demographic Pay Gaps with Data-driven Solutions

In this special guest feature, Dr. Margrét Vilborg Bjarnadóttir, Assistant Professor of Management Science and Statistics at the University of Maryland Robert H. Smith School of Business, suggests that despite massive cultural and societal pushes for gender equality, the gender pay gap in the workplace remains as strong as ever. Data analysis and visualization could play a vital role in helping to resolve this important issue.

Data Privacy and Blockchain in the Age of IoT

In this contributed article, freelance human Avery Phillips discusses how transparency is a foundation of blockchain technology, and one of its greatest assets when it comes to the healthcare industry and HIPAA compliance. This is where blockchain, big data, and IoT collide — big data analytics requires quality, accurate input.

Acquisitions for Big Data Startups are Hot. What’s Driving the Money?

In this contributed article, Ben Bloch, CEO of Bloch Strategy, discusses some of the reasons for the recent M&A activity we’re seeing in the big data space, and what we might see in the future.

Addressing Governmental Challenges when Engaging AI, ML and Data Analytics

Gartner recently stated that all industries and levels of government agree the top three game-changing technologies today are AI/machine learning, data analytics/predictive analytics and cloud technologies. However, there are some primary sticking points when it comes to innovation in these areas. Government organizations continue to encounter challenges when trying to pursue these initiatives due to complex security and compliance requirements, poor scalability of legacy IT infrastructure, and perceived risks associated with cloud and IT modernization efforts. How can these challenges be addressed?

The Key to Future-Proofing any Enterprise Data Architecture: Create Optionality

In this special guest feature, Justin Borgman, Co-founder and CEO at Starburst Data, outlines how can IT future-proof the enterprise for the next big trend – by creating optionality. Specifically, he offers three strategic steps toward future-proofing the cloud data lake.

AI-Driven Data Catalogs: How to Find the Right one for Your Business

The commoditization of data has opened a world of opportunities up for countless enterprises. But as big data explodes, metadata initiatives are failing, and data discovery and retrieval is getting more and more difficult. A new white paper from IO-Tahoe explores data catalogs as a potential answer to this challenge.

TOP 10 insideBIGDATA Articles for May 2019

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.

GE Introduces New Analytics to Advance Electric Grid Operations

GE (NYSE: GE) announced the availability of three new grid analytics that combine domain expertise with artificial intelligence (AI) and machine learning (ML) to tackle pressing challenges in electric grid operations. The new portfolio uses data from across transmission and distribution networks to help achieve goals for operational efficiency.

Infographic: The State of Big Data in CPG

An interesting new study coming from Bedrock Analytics on “The State of CPG Manufacturers & Big Data” is summarized with the infographic below. One of the study’s main findings was that while 4 out of 5 CPG manufacturers say that analytics are important in supporting their business decisions, a majority of them say that data and analytics are either “not at all” or only “somewhat” rooted in their organization’s culture. In other words, CPG companies know that Big Data is important, but they have yet to embrace it in their day-to-day work.

Why Natural Language Processing is the Next Big Thing for Insurers

In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction.