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Utilizing Predictive DevOps to Enhance Collaboration in 2024

IT Toolbox

Discover the future of DevOps with Predictive AI in 2024, enhancing collaboration and efficiency. The post Utilizing Predictive DevOps to Enhance Collaboration in 2024 appeared first on Spiceworks.

Devops 289
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The Role of AI, ML-Powered DevOps in Digital Transformation

CTOvision

Read Chandra Shekhar comment on how artificial intelligence and machine learning-powered DevOps can lead to digital transformation on DevOps: Global businesses are in the midst of an enormous digital transformation […].

Devops 259
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Exploring NoOps: The Future of DevOps in the Serverless Cloud

IT Toolbox

The post Exploring NoOps: The Future of DevOps in the Serverless Cloud appeared first on Spiceworks. Serverless architectures and how NoOps fits into the picture.

Devops 284
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How AI and Machine Learning are Evolving DevOps

Information Week

Artificial intelligence and ML can help us take DevOps to the next level through identifying problems more quickly and further automating our processes.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged.

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AIOps, DevSecOps, and Beyond: Exploring New Facets of DevOps

Information Week

The inclusion of security and artificial intelligence in the mix is making DevOps more complex but is also creating new possibilities to hasten delivery.

Devops 162
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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO Business Intelligence

To remain resilient to change and deliver innovative experiences and offerings fast, organizations have introduced DevOps testing into their infrastructures. However, introducing DevOps to mainframe infrastructure can be nearly impossible for companies that do not adequately standardize and automate testing processes before implementation.

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5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.