UnifyCloud's CloudAtlas Platform Analyzes AI Workloads to Better Leverage Cloud AI Capabilities

REDMOND, Wash. - Jan. 31, 2024 - PRLog -- UnifyCloud, an ISV and leading innovator in cloud transformation solutions, today announced it has updated its CloudAtlas static code analysis to evaluate existing and potential AI applications and databases to identify opportunities to leverage cloud AI processes and services.
This is another step in UnifyCloud's transformation from enabling cloud migration to enabling cloud transformation. Over the past six months, UnifyCloud has expanded CloudAtlas to work with all three major cloud platforms – Azure, Google Cloud, and AWS – to modernize and optimize applications and databases, and now to identify and integrate AI capabilities and services as part of digital transformation for organizations.

UnifyCloud does this with its CloudAtlas platform which scans existing infrastructure, application source code, and database scripts and analyzes these assets for modernization opportunities. This includes automated analysis of metadata captured during the discovery process to identify where and how environments are making calls to AI, or using large amounts of data and other AI accelerators.

Transforming existing AI workloads to the cloud and identifying opportunities for new cloud AI workloads and services, CloudAtlas enables organizations to drive innovation and productivity, improve processes,

decrease costs, increase efficiency, and improve scalability to gain competitive advantage. This is an example of how UnifyCloud is continuously integrating new technologies to increase the speed of cloud transformation while reducing complexity to help businesses get to the cloud faster and start realizing cloud and AI benefits sooner:

• CloudAtlas identifies opportunities to add cloud AI capabilities to applications to improve the efficiency and effectiveness of workloads.
• Where opportunities are identified, CloudAtlas automatically applies changes to code and schema to remediate and modernize workloads to add or improve AI capabilities which accelerates application remediation by up to 65% and database modernization by as much as 80%.
• CloudAtlas speeds migration with automatic generation of landing zones by identifying the configuration required and generating scripts to optimally configure the cloud environment. Organizations can then use CloudAtlas to implement these scripts or do it themselves so that all data and changes remain in-house.

UnifyCloud's CTO, Vivek Bhatnagar, commented on UnifyCloud's innovation: "UnifyCloud is constantly looking for ways to simplify and accelerate cloud transformation. CloudAtlas platform identifies opportunities in workloads to harness the power of AI to drive business innovation. CloudAtlas speeds up the analysis and provides specific, line-of-code and AI service recommendations to enhance the effectiveness of existing AI workloads and identify opportunities for new AI workloads. With this functionality UnifyCloud is paving the way for faster modernization and AI transformation." Learn More at https://www.unifycloud.com