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What is Governed, Self-Service Business Intelligence and Why is it Important?

In this contributed article, Ben Bloch, CEO of Bloch Strategy, believes the most effective tools contributing to governed, self-service BI are those that make it easy to migrate data securely and effectively. With this model, organizations can merge self-service BI with governed data sources.

“Above the Trend Line” – Your Industry Rumor Central for 8/5/2019

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.

Pumas-AI Launches Julia Language-Based Software to Advance Drug Development, Patient Care

Pumas-AI – a new company established by University of Maryland School of Pharmacy faculty members Vijay Ivaturi, PhD, assistant professor in the Department of Pharmacy Practice and Science (PPS), and Joga Gobburu, PhD, MBA, professor in PPS – is proud to announce the release of its first cutting-edge software platform for pharmaceutical researchers and clinicians. Known as Pharmaceutical Modeling and Simulation (Pumas), the software was developed through a partnership with experts at Julia Computing.

ThetaRay 4.0 with IntuitiveAI Gives Banks a Powerful New Weapon Against Financial Cybercrime

ThetaRay, a leading provider of AI-based Big Data analytics, announced Version 4.0 of the company’s namesake advanced analytics platform. The update includes major capability upgrades to help global banks detect and prevent financial cybercrime. ThetaRay’s IntuitiveAI solutions replicate the powerful decision-making capabilities of human intuition to detect “unknown unknowns” that cannot be identified by first-generation AI or legacy products.

NuoDB 4.0 Expands Cloud-native and Cloud-agnostic Capabilities of Distributed SQL Database

NuoDB, the distributed SQL database company, unveiled NuoDB 4.0, featuring expanded cloud-native and cloud-agnostic capabilities with support for Kubernetes Operators and Google Cloud and Azure public clouds. This includes the recently announced Kubernetes Operator to simplify and automate database deployments in Red Hat OpenShift.

Free Data Set Archive Helps Researchers Quickly find a Needle in a Haystack

Called the UCR Spatio-temporal Active Repository, or UCR STAR, the archive is made available as a service to the research community to provide easy access to large spatio-temporal data sets through an interactive exploratory interface. Users can search and filter those data sets as if shopping for their research, except that everything is free.

How Companies Can be Ethical with AI

One big question in the industry these days is about the safeguards companies can take to ensure their AI is fair and ethical. Stakeholders are trying to determine how enterprises can ensure that their employees, investors and customers trust their AI technology. With AI advancing at the incredible rate that it is and being applied to diverse use cases such as criminal detection, this is an important and timely topic.

Benefits to Consider from a Multi-Cloud Approach

In this contributed article, Bill Fenick, Vice President, Enterprise for Interxion, believes that the cloud is undoubtedly the future within business – and we’re already seeing it evolve. Businesses that adapt to the evolving cloud and adopt a multi-cloud strategy will gain an edge over their competition, while those that don’t will find themselves left behind.

Big Data and the Future of Self-Driving Cars

In this contributed article, freelance human Avery Phillips believes the ever-approaching advent of the era of self-driving cars continues to remain several years in the future. The question is, where are we in the process of developing self-driving cars, and how does big data play a role currently as well as in the future of the autonomous transportation industry?

Making the Most of Your Investment in Hadoop

Hadoop came to prominence when the web exploded with unstructured data. The use of unstructured data is common for web analytics, where flexibility is required for unknown or compound fields (arrays, nested objects, or just unknown). Download the new white paper from SQREAM that explores  an approach to Hadoop that aims to help businesses reduce time-to-insight, increase productivity, empower data teams for better decision making, and increase revenue.