How Synthetically Generated Data Can Enhance the AI Lifecycle
Bridge the AI promise vs reality gap by choosing the right use cases, running disciplined PoCs, measuring impact, and.
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Our customer, GCM Grosvenor had embarked on a strategic initiative program to ensure compliance to the regulations, including upgrading their AWS Instance Operating Systems from Windows 2008 R2 to Windows 2012 R2 and shifting from the traditional Service Account to group Managed Service Account (gMSA). The initiative included upgrading OS for password remediation and implementing DevOps with a rigorous QA cycle. Password Remediation is an ITS-initiated program that requires service account passwords be changed, at least, on an annual basis. Manual rotation (even if parts have been automated), requires extensive effort and testing.
Everforth Quinnox was chosen as the DevOps partner after an evaluation of many vendors, mainly due to our DevOps capabilities and familiarity with the technology stack, as well as our deep knowledge of DevOps frameworks, methodologies and practices.
The Everforth Quinnox DevOps team worked closely with the financial institution’s team to modify the existing DevOps deployment scripts. Our approach included implementing DevOps using tools such as GitHub, Visual Studio 2015, Team Foundation Server (TFS), Source Tree, AWS EC2 Instance, GO CD – Open Source Continuous Delivery.
What were the business values uncovered?
The above-mentioned approach ensured the successful completion of an end-to-end migration within 3-4 months.
Here are some of the key points appreciated by GCM Grosvenor:
Bridge the AI promise vs reality gap by choosing the right use cases, running disciplined PoCs, measuring impact, and.
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