Understanding how and where edge computing fits into an organization’s. It wasn’t that long ago when edge computing was considered a futuristic, forward-looking concept that was interesting to contemplate — yet offered no real-world benefit to the enterprise.
Leaders looking for new ways artificial intelligence (AI) can provide a competitive edge may have found the 2021 America’s Cup Match as exciting for one team’s groundbreaking use of reinforcement learning as for its radical boat designs and close races.
The events of the past year shined the spotlight on business process automation, highlighting its importance to every organization. As employees migrated en masse to remote work and internal process demands increased, organizations without end-to-end digital automation found themselves at a severe disadvantage.
The year 2020 upended retail businesses more than any other time in recent history, as people shifted their entire lives (and buying habits) online in response to COVID-19. At Crate & Barrel, where online sales already accounted for more than half of our business, we’ve seen online sales jump more than 40% since the start of the pandemic.
Over the past decade, fuel retail has been one of the more resilient segments in the oil and gas industry. The growth of both out-of-home consumption and small-format retail has enabled forecourts to capture significant incremental value from convenience retail and other nonfuel retail (NFR) business.
An internet of things (IoT) gateway is a physical device or software program that serves as the connection point between the cloud and controllers , sensors and intelligent devices. All data moving between IoT devices and the cloud passes through an IoT gateway, which can be either a dedicated hardware appliance or software program.
Claudia Jarrett, US Country Manager | EU Automation Bert and Ernie, Thelma and Louise, even Butch Cassidy and the Sundance Kid: sometimes opposites attract. This old phrase not only rings true in pop culture, but in industrial data processing, too.Here, Claudia Jarrett, US country manager at industrial automation parts-supplier, EU Automation, explains how manufacturers can get the most value out of cloud and edge data servers — by bringing them together
Organizations everywhere are accelerating their initiatives to use data and technology to optimize and transform business and operating models. The specific objectives of this digital acceleration depend on your organization’s strategies and business — and it is those goals that will drive the resulting mandate for IT leaders, including software engineering leaders.
Organizations are increasingly investing in digital businesses ecosystem strategies to foster innovation and operate efficiently. These ecosystems connect various stakeholders–such as partners, developers, and customers–via application programming interfaces, or APIs.
We are announcing a major release for Oracle WebLogic Server (WLS) on Azure Virtual Machines. The release is jointly developed with the WebLogic team as part of a broad-ranging partnership between Microsoft and Oracle. Software available under the partnership includes Oracle WebLogic, Oracle Linux, and Oracle Database, as well as interoperability between Oracle Cloud Infrastructure (OCI) and Azure.
Historically, inserting and retrieving data from a given database platform has been easier compared to a multi-platform architecture for the same operations. To simplify bringing data in from a multi-database platform, AWS Glue DataBrew supports bringing your data in from multiple data sources via the AWS Glue Data Catalog .
Data engineers need a way to enable non-data engineers like business analysts, data analysts, and data scientists to operate using self-service methods by abstracting the complexity of pipeline development. In this post, we discuss AWS Glue custom blueprints, which offer a framework for you to build and share reusable AWS Glue workflows.
At re:Invent 2020, we announced the general availability of Amazon EMR on Amazon EKS , a new deployment option for Amazon EMR that allows you to automate the provisioning and management of open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS).
Imagine you are launching a brand new website selling goods and services. You are expecting a huge amount of traffic due to the seasonality of the product.You would like to test 100K simultaneous connections to the website and make sure it is working properly.
