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An introduction to Wazi as a Service

IBM Journey to AI blog

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). It combines the power of the z-Mod stack with secure DevOps practices, creating a seamless and efficient development process.

DevOps 255
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Unlocking value: Top digital transformation trends

IBM Journey to AI blog

But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity. Organizations undergoing digital transformations are likely to uncover wide swaths of manual work that can and should be automated.

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

AWS Machine Learning Blog

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

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The advantages and disadvantages of hybrid cloud

IBM Journey to AI blog

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. 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.

DevOps 278
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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

By conducting experiments within these automated pipelines, significant cost savings could be achieved. Additionally, the integration of AI Factory components contributes to a reduction in time to production and overall workload by reducing repetitive tasks through the use of reusable artifacts.

ML 93
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

Data gathering, pre-processing, modeling, and deployment are all steps in the iterative process of predictive analytics that results in output. We can automate the procedure to deliver forecasts based on new data continuously fed throughout time. This tool’s user-friendly UI consistently receives acclaim from users.