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7 Steps to Get Real ROI with Practical AI

Pure Storage

If machine learning round one was all about accuracy, machine learning take two is all about applicability. Assign the tasks that fit with the AI application and reframe the remaining ones into streamlined, manual workflows. The analytics-AI continuum creates a need to reuse data across applications. That is “ practical AI.” .

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Journey to Adopt Cloud-Native Architecture Series: #3 – Improved Resilience and Standardized Observability

AWS Disaster Recovery

As a refresher from previous blogs, our example ecommerce company’s “Shoppers” application runs in the cloud. It is a monolithic application (application server and web server) that runs on an Amazon Elastic Compute Cloud (Amazon EC2) instance. The monolith application is tightly coupled with the database.

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Storage and Data Protection News for the Week of October 27; Updates from Cohesity, Dig Security, HYCU & More

Solutions Review

With more applications in use across the modern data center, visibility and the ability to protect that mission-critical data has never been at more of a premium,” said Subbiah. It targets HTTP Internet properties such as mobile application servers, ecommerce websites, and API gateways. Read on for more. Read on for more.

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IT for businesses: The importance of system integration

Online Computers

Application integration Application integration involves connecting different software applications, typically with the use of application programming interfaces (APIs). Enhanced security A well-integrated IT infrastructure can make it harder for malicious actors to access sensitive data.

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Cyber Recovery vs. Disaster Recovery

Pure Storage

For example, a targeted ransomware attack on an ecommerce site’s third-party payment portal wouldn’t need to trigger a system-wide recovery effort for the entire application and every database. What Sort of Data Needs to Be Recovered? What to do next >> What Are Examples of Cyber Attacks on Data Centers?