Auto-complete DevOps Information 
IBM Journey to AI blog
OCTOBER 17, 2023
This solution extends observability to a wide range of roles, including DevOps, SRE, platform engineering, ITOps and development. The solution gives users contextual information so that they can quickly access insights without struggling with data and application monitoring. Currently, Instana supports SAP BTP Kyma cluster monitoring.
IBM Journey to AI blog
JUNE 2, 2023
With its proven tools and processes, AIMM meets clients where they are in the legacy modernization journey, analyzing (auto-scan) legacy code, extracting business rules, converting it to modern language, deploying it to any cloud, and managing technology for transformational business outcomes. city agency serving 19M citizens.
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AWS Machine Learning Blog
MARCH 10, 2025
Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. This challenge is particularly acute in credit markets, where the complexity of information and the need for quick, accurate insights directly impacts investment outcomes. Follow Octus on LinkedIn and X.
AWS Machine Learning Blog
JANUARY 21, 2025
Amazon Bedrock Knowledge Bases provides the capability of amassing data sources into a repository of information. Using knowledge bases, you can effortlessly create an application that uses Retrieval Augmented Generation (RAG), a technique where the retrieval of information from data sources enhances the generation of model responses.
AWS Machine Learning Blog
SEPTEMBER 4, 2024
DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. SageMaker simplifies the process of managing dependencies, container images, auto scaling, and monitoring.
AWS Machine Learning Blog
MAY 7, 2024
They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. The model is designed to perform tasks such as answering questions, summarizing information, and creating content, among others, by following specific prompts given by users.
AWS Machine Learning Blog
OCTOBER 18, 2023
This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. Start the model version when training is complete.
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