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An introduction to Wazi as a Service

IBM Journey to AI blog

Innovating at scale is made possible with IBM Z modernization tools like Wazi Image Builder, Wazi Dev Spaces on OpenShift, CI/CD pipelines, z/OS Connect for APIs, zDIH for data integrations, and IBM Watson for generative AI. Get to know Wazi as a Service The post An introduction to Wazi as a Service appeared first on IBM Blog.

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Unlocking value: Top digital transformation trends

IBM Journey to AI blog

Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions. Low-code helps the DevOps team by simplifying some aspects of coding and no-code can introduce non-developers into the development process.

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Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning Blog

Shuyu Yang is Generative AI and Large Language Model Delivery Lead and also leads CoE (Center of Excellence) Accenture AI (AWS DevOps professional) teams. Shikhar Kwatra is an AI/ML specialist solutions architect at Amazon Web Services, working with a leading Global System Integrator.

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The advantages and disadvantages of hybrid cloud

IBM Journey to AI blog

With a hybrid-cloud architecture, the airlines can deal with fluctuating volumes of data, such as during the busy holiday travel season, which requires scaling up resources and data in real-time to improve workflows and deliver better customer experiences. This redundancy prevents data loss if one of the backups is comprised.

DevOps 281
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How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months

AWS Machine Learning Blog

Weeraman , Sajani Jayathilaka , and Devinda Liyanage for your valuable contributions to this blog post. Before joining AWS India, Vel worked as a Senior DevOps Architect with AWS ProServe North America, supporting major Fortune 500 corporations in the United States.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

These steps are designed to provide a seamless and efficient integration process, enabling you to deploy the solution effectively with your own data. Integrate knowledge base data To prepare your data for integration, locate the assets/knowledgebase_data_source/ directory and place your dataset within this folder.

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Google improves upon NIMA(Neural Image Assessment) through MUSIQ

Bugra Akyildiz

AI for DevOps to infuse AI/ML into the entire software development lifecycle to achieve high productivity. Libraries Collecting, labeling, and cleaning data for computer vision is a pain. AI for Customers to leverage AI/ML to create unparalleled user experiences and achieve exceptional user satisfaction using cloud services.

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