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Lowering the Barrier to Entry for Cloud Computing is the Key to Scientific Discovery

In this special guest feature, Ivan Ravlich, Co-Founder and CEO of Hypernet Labs, points out how the cloud industry needs to offer more accessible options to scientists and researchers who need to process large amounts of data. Containerizing scientific applications is a major step forward.

TOP 10 insideBIGDATA Articles for February 2020

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Safe and Sound – Your Enterprise Data in the Cloud

In this special guest feature, Chris Lawless, Senior Vice President of US Operations for HVR Software, believes that businesses are realizing that the cloud is an optimal solution to many of their data woes. Cloud-based technologies are scalable, affordable … but a lingering question to many, still, is whether their data is safe in the cloud.

Microsoft Announcements on Azure Artificial Intelligence

In this contributed article, Arindam Ray Chaudhuri, COO at AgreeYa, shares the new and exciting Azure AI developments. With the effective utilization of Azure Machine Learning, Azure Databricks and ONNX, organizations can build, train and deploy their machine learning models efficiently and seamlessly.

Report Reveals Business-Critical Cloud Adoption for Analytics and AI on the Rise, Yet Challenges Remain

Trifacta, a leader in data preparation and data wrangling, released its “Obstacles to AI & Analytics Adoption in the Cloud” report, which reveals inefficiencies that are hindering analytics and artificial intelligence (AI) adoption in the cloud. The research, which surveyed 646 data professionals across different industries and titles, examines how organizations are handling the increased move of data to the cloud, the obstacles facing data cleaning and analytics and the time constraints endured when preparing data for analytics, AI and machine learning (ML) initiatives.

Big Data & Cloud Computing: The Roles & Relationships

In this contributed article, Gaurav Sharma, Director Of Operations at Chetu Inc., discusses how it’s important to note that both Big Data and Cloud Computing play a huge role in our digital society. The two linked together allow people with great ideas but limited resources a chance at business success. They also allow established businesses to utilize data that they collect but previously had no way of analyzing.

Cloud Services Survey Reveals Critical Need for AI-Driven Continuous Optimization

Our friends over at Opsani announced the results of a year-long survey of hundreds of enterprises running cloud services that revealed a critical need for artificial intelligence (AI)-driven, continuous optimization of live applications and their environments. Results showed companies are running a robust continuous integration (CI), continuous delivery (CD) tool-set for their applications, but are neglecting the post-release portion of the delivery pipeline—continuous optimization of live cloud apps and their environments—resulting in declining user experiences and soaring cloud costs.

10 Kubernetes Features You Must Know About

In this contributed article, technology writer Gilad David Maayan provides some of the more advanced functionalities and features of Kubernetes to help you get more from your configuration. Kubernetes (k8s) has become key to some of the biggest operations in the world, including Google, Shopify, and Slack. K8s has enabled companies to take advantage of cloud computing in a way that was previously not possible, and it might be able to do the same for big data.

Healthy Hives: Cloud Analytics Helps Save the World’s Bee Population

In this machine learning cast study, we describe how cloud analytics technology is being applied to the Global Hive Network, an initiative to collect billions of individual data points from around the world and analyze them to understand the honeybee population’s overall health and its relationship with environments, weather patterns, forage, diseases, parasites, predator species, and pesticides.

Kubernetes Driving Google Cloud

Kubernetes is increasingly being used with big data deployments. This trend is driving more big data apps to move to GCP, which offers homegrown support for Kubernetes. To make these workloads simpler and cheaper, there’s a need for a new solution for managing data workloads on Google Cloud Dataproc. With GCP’s CAGR estimated to grow by 64% CAGR through 2021, the cloud is now clearly a three-horse race.