Continuous Learning DevOps Software Development 
Unite.AI
OCTOBER 30, 2023
As emerging DevOps trends redefine software development, companies leverage advanced capabilities to speed up their AI adoption. That’s why, you need to embrace the dynamic duo of AI and DevOps to stay competitive and stay relevant. How does DevOps expedite AI? How will DevOps culture boost AI performance?
Unite.AI
JUNE 19, 2024
MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.
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AWS Machine Learning Blog
MARCH 10, 2025
The use of multiple external cloud providers complicated DevOps, support, and budgeting. Operational consolidation and reliability Post-migration, our DevOps and SRE teams see 20% less maintenance burden and overheads. Kishore Iyer is the VP of AI Application Development and Engineering at Octus.
Unite.AI
JANUARY 25, 2024
Application security topics rose by 42%, and DevSecOps – which integrates security practices within the DevOps process – experienced a 30% growth in usage. These trends signal a paradigm shift toward incorporating security throughout the software development lifecycle, rather than treating it as an afterthought.
AWS Machine Learning Blog
MARCH 1, 2023
MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle. MLOps requires the integration of software development, operations, data engineering, and data science.
AWS Machine Learning Blog
NOVEMBER 7, 2023
Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. About The Authors Jin Tan Ruan is a Prototyping Developer within the AWS Industries Prototyping and Customer Engineering (PACE) team, specializing in NLP and generative AI.
Unite.AI
NOVEMBER 21, 2024
Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. As the software development landscape evolves, we are leveraging GenAI to automate those repetitive tasks that can bog teams down.
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