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What is an automation engineer? A growing role to address IT automation

CIO Business Intelligence

Regardless of how people feel about automation, it’s here to stay, and companies are embracing automation technologies to streamline IT, business, development, and service processes. Outside of manufacturing and factory automation, IT automation is typically focused on service automation and QA testing of automated processes.

IT 86
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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

Software 127
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QA Teams Need All-in-One Data Analytics Platforms for Testing

Smart Data Collective

Data analytics is an invaluable part of the modern product development process. Companies are using big data for a variety of purposes. One of the most essential benefits is with the QA process. Advances in data analytics have raised the bar with QA standards. Why is a testing platform a necessity for Agile-teams?

Testing 107
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AI Can Help with Secure Quality Assurance Testing

Smart Data Collective

There are many ways that AI can help with the development and release of new products and services. We talked about the benefits of data analytics for QA teams , but AI can be just as important. AI is Crucial for Handling the QA Process When Developing New Products.

Testing 84
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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

Research and development (R&D) is a critical component for any business, especially in today’s data-dependent competitive world. Companies are using AI technologies to automatically analyze large amounts of data and identify patterns that would not be obvious to a human analyst. Automated Testing of Features.

Testing 113
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The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307
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14 in-demand cloud roles companies are hiring for

CIO Business Intelligence

With 65% of IT decision-makers choosing cloud-based services by default when upgrading technology, cloud architects will only become more important for enterprise success. Companies that have migrated to the cloud often need IT pros who can build company-specific services and applications to make the most of the cloud environment.