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Visualization Best Practices for Business Analysts

In this contributed article, freelance human Avery Phillips discusses what you need to know about ensuring visualization is an asset and not a point of confusion for an organization. What visualization does is clarify what would often otherwise be complicated and murky given the way that large amounts of data can be hard to classify.

MathWorks Expands Deep Learning Capabilities in Release 2018b of the MATLAB and Simulink Product Families

MathWorks introduced Release 2018b of MATLAB and Simulink. The release contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. The new Deep Learning Toolbox, which replaces Neural Network Toolbox, provides engineers and scientists with a framework for designing and implementing deep neural networks.

How Generative AI Can Augment Creative Output, Reshape the Future of Storytelling and Content Production

In this special guest feature Debajyoti (Deb) Ray, Founder/CEO of RivetAI, discusses how AI is impacting the film/entertainment industry. Disruptive AI technologies are significantly boosting creative productivity, and it’s not just happening in the movie business: the $450 billion content production industry is ripe for the picking, too.

Field Report: TIBCO NOW 2018

I was pleased to be on hand for the 2018 edition of the TIBCO NOW “Innovation at the Edge” conference in Las Vegas on September 4-6. This was my 1st time covering the show for insideBIGDATA, and I was eager to get the pulse of the event because you can tell a lot about the state of a company by attending their global user conference. I wasn’t disappointed!

DarwinAI Emerges from Stealth with Powerful Design, Optimization and Explainability Platform for Deep Learning

DarwinAI, a Waterloo, Canada startup creating next generation technologies for Artificial Intelligence development, announced it is emerging out of stealth with $3M in seed funding. The team’s Generative Synthesis platform leverages AI to reduce the complexity and guesswork in designing efficient, high performance deep neural networks for real world applications.

Trends in Entertainment Industry Push Enterprises Toward AI Tools

This is the second entry in a five-part guide series that explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how trends in the media and entertainment industries are leading enterprises to increasingly adopt AI tools. 

Rethinking Messaging for the Era of Microservices and Cloud

In this special guest feature Matteo Merli, Streamlio co-founder, discusses what’s needed from a modern solution for connecting data in the era of cloud and microservices – the same thing that’s always been demanded of messaging: ensuring performance, scalability, resiliency, elasticity and flexibility to support how data is processed and connected. What’s changed is the nature and scale of those demands in a world that’s grown significantly in both complexity and pace.

Google’s New Big Data View of Ethereum: What to Know

In this contributed article, technology writer and blogger Kayla Matthews discusses how Google wants to make all blockchain data associated with Ethereum easily accessible for people to study. It’s doing that by making all Ethereum data sets available through BigQuery, Google’s enterprise-level and highly scalable data warehouse geared towards data analysts.

Alegion Announces Next-Generation Training Data Platform for Enterprise AI Initiatives

Alegion, a training data platform for artificial intelligence (AI) and machine learning initiatives, announced the release of its next-generation platform with new features designed to enhance the quality and efficiency of large-scale machine learning initiatives and deliver model confidence for enterprise AI systems.

SAP Helps Business Users Make Fast, Confident Decisions with One Simple Cloud for All Analytics

SAP SE (NYSE: SAP) announced SAP Analytics Cloud is now available with new machine learning features to uncover correlations in an organization’s data and help users make faster, more confident decisions.