Monthly Archives: December 2020

Everything in its Right Place: The Potential of Decentralized AI

In this contributed article, John Suit, Chief Technology Officer at KODA, Inc., discusses the overall potential of decentralized AI. The future of artificial intelligence will be determined by how much weight we put into collaboration. Fundamentally, collaboration relies on a group of people (or machines) who share their individual knowledge to solve a problem. Decentralized AI is the path forward.



The “Rapid Response” Tool Businesses are Using Right Now

In this contributed article, Rob Collie, founder and CEO of business intelligence consulting firm P3, discusses how businesses are turning to Microsoft Power BI to make faster, more informed decisions. When changing conditions lead to new questions that haven’t been asked before, business leaders and data professionals alike need a tool that is designed to cross data silos and respond to the velocity of questions, without re-engineering the system.



The Catalyst for Widespread AI Adoption

In this special guest feature, Dr. Josh Sullivan from Modzy, discusses the issue of understanding how AI comes to a decision is no longer just about curiosity; it must be an essential element of nearly all AI applications. AI is being used to power decisions that significantly impact lives.



How Feature Stores will revolutionize Enterprise AI

In this contributed article, Monte Zweben, CEO and co-founder of Splice Machine, discusses Feature Stores which are a new MLOps technology being adopted by cutting-edge companies like Uber, Airbnb, and Netflix, and for good reason. A Feature Store is a system made specifically to automate the input, tracking, and governance of data into machine learning models.



insideBIGDATA Latest News – 12/28/2020

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.



Big Data & Credit Score: What’s Changing

In this contributed article, Magnolia Potter describes how the availability of large quantities of consumer data, also known as big data, has broad implications for the way we measure credit. No longer will consumers be tied to traditional banking for building credit. Now, all kinds of metrics can help prove credit worthiness.



The 6 Types of Data Everybody Should Know to Avoid Confusion

Everybody tosses the word “data,” but few actually know what it actually means and does. MountainTop Data CEO Sky Cassidy explains the 6 different kinds of data everyone should know something about in order to avoid confusion.



High Value, Low Contact: Emerging Retail Technology for a COVID-Influenced World

In this special guest feature, Melanie Nuce, Senior Vice President of Corporate Development at GS1 US, discusses extracting maximum consumer information from store traffic while also making the experience safe and contactless. Digitizing store experiences is becoming paramount–consumers want to make the most of fewer shopping trips while technologies like AI, IoT, and sensors are coming to the forefront to support innovative consumer engagement strategies.



COVID-19 Causes Significant Upheaval to Digital Transformation Plans but Spurs Surge in Innovation and Improved End User Experience, Couchbase Research Finds

Despite significant upheaval to organizations’ digital transformation plans, the COVID-19 pandemic has contributed to a surge in innovative projects, according to research from Couchbase, the creator of the enterprise-class, multicloud to edge NoSQL database. In Couchbase’s fourth annual digital transformation survey, 77 percent of organizations had to either make “noticeable” or “major” changes to their digital transformation plans or start again from scratch.



Best of arXiv.org for AI, Machine Learning, and Deep Learning – November 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.



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