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The latest big data news and articles

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.

“Above the Trend Line” – Your Industry Rumor Central for 9/17/2018

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.

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.

Pure Storage Introduces Data Hub Architecture

Pure Storage (NYSE: PSTG), the all-flash storage platform that helps innovators build a better world with data, introduced a data hub, the company’s vision to modernize storage architecture for unstructured, data-intensive workloads. Built on Pure Storage FlashBladeTM, Pure’s data hub is designed to be truly data centric and enable organizations to effectively utilize today’s most critical currency – data.

Ethics and the Pursuit of AI

In this contributed article, marketing specialist Sophie Ross discusses the center-stage question: What are the ethical implications of artificial intelligence and its applications? She suggests that there has to be a balanced approach to any technology. Humans should have ultimate control over the use, misuse and abuse of the technology so that the ultimate accountability can be fixed for any excesses.