Identify and Transform AI Workloads with​ CloudAtlas using Generative AI​​

CloudAtlas evaluates existing and potential AI applications and workloads to identify opportunities to leverage generative AI processes and services in the cloud and to formulate a generative AI strategy to drive innovation.

Make the Most of AI Services in the Cloud with CloudAtlas

Are you looking to transform workloads to the cloud to take advantage of cloud AI capabilities? With a generative AI data readiness assessment, CloudAtlas simplifies and speeds the process by identifying where and how workloads can leverage AI. CloudAtlas can also identify how chipsets and AI accelerators can be used to enable you to use AI more efficiently and cost effectively, whether in the public or private cloud. CloudAtlas can then recommend how these workloads can be optimized, identifies the best AI chipset and hardware configuration to best leverage AI, and helps better utilize existing or incorporate new cloud, generative AI and/or Machine Learning services to develop new applications and databases to automate manual tasks, improve decision-making, provide personalized experiences, and more.

Just a Few of the Many Cloud AI Use Cases Enabled by CloudAtlas :


Automated ​Customer Support

Enhance customer satisfaction with AI-powered virtual assistants streamline customer support processes, handle routine inquiries, and speed resolution.

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Text Analytics with Natural Language Processing (NLP)

AI algorithms based on NLP processes text data to understand context, identify key entities, and extract sentiment to tailor support actions.​

Speech Analysis

Voice and Speech Analysis

Analyze the tone and language from voice interactions to determine customer satisfaction to craft customized responses to improve the customer experience.

Predictive ​Analytics

Predictive Analytics

Leverage AI algorithms to analyze historical sales data, market trends, and more to predict product demand to improve inventory management, inform sales campaigns, and improve overall operational efficiency.

Data Driven

Data-driven ​Decision Making​

Process large, often unstructured, datasets to extract insights to inform decision-making across different business functions to enhance strategic planning and stay ahead in a competitive market.

Process ​ Automation

Process ​ Automation​

US AI-powered workflows to automate repetitive and time-consuming tasks – data entry, invoice processing, or employee onboarding, etc. – to reduce errors and increase the speed of operations.

Before this can happen, applications must be modernized to leverage the power of AI services available in the cloud. That’s because legacy applications are often monolithic in scale which makes them difficult to change and integrate with newer services, including generative AI. Migrating these applications to modern architecture like microservices allows organizations to make them more agile and adaptable and ready to take advantage of AI services. ​

Understanding the Benefits of AI

Azure OpenAI is a robust set of tools and services that enable developers to build AI-powered applications quickly and efficiently to better capitalize on AI.



The cloud enables scaling AI workloads up or down as needed, allowing them to easily handle changes in demand.

Cost Savings​

Cost Savings​

By migrating AI workloads to the cloud, you can reduce infrastructure costs and only pay for resources used.​

Improved Performance​

Improved Performance​

The cloud provides access to powerful services and capabilities that can help improve the performance of your AI workloads.​

How CloudAtlas Can Help

UnifyCloud designed the CloudAtlas platform to simplify and accelerate the process of transforming applications, databases and workloads, including those with AI, to the cloud. With CloudAtlas, you can:

Identify and Analyze Your Workloads

CloudAtlas scans environments to identify AI workloads and provides recommendations on how those workloads can be improved by moving to the cloud. It then prioritizes and plans the transformation of the best candidate workloads.

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Migrate AI Workloads Quickly and Easily

CloudAtlas helps you migrate AI workloads quickly and easily, so you can start taking advantage of the enhanced benefits of generative AI in the cloud right away.

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Identify Opportunities for AI Integration

CloudAtlas uses infrastructure metadata to conduct an Azure OpenAI data readiness assessment to identify where you can incorporate AI into environments to accelerate business transformation and success.

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Responsible AI in a Box

With CloudAtlas, businesses can deploy and responsibly use AI models with confidence, knowing that they adhere to ethical and security standards and promote transparency, fairness, and accountability in AI operations , helping organizations navigate complex regulatory landscapes and mitigate bias.

Get Started with Your AI Transformation Today

Ready to simplify and accelerate your AI workload migration to the cloud? Contact us today to learn more about CloudAtlas and how it can help you take advantage of the benefits of generative AI and the cloud with an Azure OpenAI readiness assessment.

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