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Myth or Reality? The Truth Behind the Evolution of Apache Ranger

In this special guest feature, Balaji Ganesan, CEO and co-founder of both Privacera, the cloud data governance and security leader, and XA Secure, acquired by Hortonworks, discusses the truth behind the evolution of Apache Ranger, and also explores common misconceptions and lessons learned from almost a decade of community experience with Apache Ranger in production environments.

The Relationship between Big Data and Protests

In this contributed article, Magnolia Potter believes the implications of big data in social justice issues are vast and concerning. With everything from privacy violations to prevention possible when it comes to handling protests, free speech rights are a valid consideration in the management of big data.

The Impact of the Covid-19 Pandemic on Conversational AI

In this contributed article, technologist Jason White discusses conversational AI and how this technology addresses the need to power a company’s priority to have intelligent and automated conversations with customers.

Data Accuracy and Measurement Validity Hold the Key to the Future of Oil and Gas

In this special guest feature, Steve Cooper, Vice President of Data Management Solutions at Quorum Software, discusses the importance of data accuracy and measurement validity as these professionals are confronted with integrating the oilfield to the back office. Over the past several years, data volume in the oil and gas industry has grown exponentially through the advancement of information technology, but the next wave of innovation in the space will require streamlining data collection, storage and measurement across multiple sources in order for these companies to stay efficient and spend and save resources where they can.

2021 Trends in Cloud Computing: The Omni Present Multi-Cloud Phenomenon

In this contributed article, editorial consultant Jelani Harper discusses how it’s imperative organizations optimize traditional cloud advantages of reduced cost, scalability, and ubiquity of access with a low latent experience. Although numerous developments have arisen to reinforce these boons, their underlying motif is the multi-cloud phenomenon surging to the top of progressive organizations’ priorities.

The Secret Sauce for Successful AI? Humans

In this special guest feature, Duncan Curtis, Vice President of Product Management at Samasource, believes that contrary to popular understanding, the key to AI’s success is the combination of human oversight and skillfully trained data, not pure automation. As AI becomes more accessible and prevalent to our daily lives, the practices we instill now will inform the effectiveness of our future technology.

How Can Machine Learning Contribute to Our Wellness?

In this contributed article, IT and digital marketing specialist Natasha Lane, asks the question, “Can machine learning contributed to our wellness?” Wellness is a somewhat elusive concept, defined by the WHO as “a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity.” See ways ML can make a difference.

What’s Under the Hood of Neural Networks?

In this contributed article, Pippa Cole, Science Writer at the London Institute for Mathematical Sciences, discusses new research on artificial neural networks that has added to concerns that we don’t have a clue what machine learning algorithms are up to under the hood. She highlights a new study that focuses on two completely different deep-layered machines, and found that in fact they did exactly the same thing, which was a huge surprise. It’s a demonstration of how little we understand about the inner workings of deep-layered neural networks.

How Automation Helps You Exploit the Value in Big Data

In this sponsored post, Simon Shah spearheads marketing at Redwood Software to support continued market growth and innovation for their cloud-based IT and business process automation solutions. He believes that by using automation to collect and manage your big data processes, you will truly exploit its value for the business.

Why We Need ML Ops: 4 Things to Consider When Testing AI

In this special guest feature, Stephan Jou, CTO of Interset, a Micro Focus company, explores things businesses should consider when deploying production ML pipelines and testing AI. MLOps is important because businesses have now accepted the value of AI and ML, and are now focused on extracting the promised value from those ML systems.