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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

To maximize the value of their AI initiatives, organizations must maintain data integrity throughout its lifecycle. Managing this level of oversight requires adept handling of large volumes of data. Just as aircraft, crew and passengers are scrutinized, data governance maintains data integrity and prevents misuse or mishandling.

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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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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.

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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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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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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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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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