Platform engineering with DevSecOps to drive reliable & cost-efficient data & digital estates.
As the computing and storage demands continue to grow in complexity within the realms of Data, AI, and Gen AI paradigms, platform engineering must prioritize the creation of developer platforms designed to automate Continuous Integration and Continuous Deployment (CI/CD) processes across all layers of the technology stack. This includes infrastructure, platform services, ETL (Extract, Transform, Load) processes, Business Intelligence, AI/MLOps/LLMOps, digital applications, and Gen AI applications. These developer platforms should incorporate 'shift left' principles, emphasizing early consideration & integration of Engineering Quality, Security, Testing, and deployment practices. Additionally, they should embrace Site Reliability Engineering (SRE) and FinOps principles to construct & manage cost-efficient & dependable data & digital infrastructure.
Decision intelligence systems – Biz process augmentation & automation
The enterprises must re-imagine the biz processes for decisioning bringing Digital, Data and Intelligence together and drive augmented and automated decisioning life cycles moving away from highly manual ways of connecting BI/AI/Gen AI insights with changing data signals and monitoring / reconfiguring decisions. The advent of Gen AI has fundamentally altered the biz processes powering re-imagination in unprecedented ways. This will drive a whole new paradigm of exponential biz impact leveraging multi-modal data across the enterprise functions. The Decision engine frameworks have to span workflow orchestration, micro services, micro-front ends, API gateways and conversational frameworks enabling a whole range of digital experiences. Digital Ops The enterprises need to bring in a seamless management of Ops from Biz outcomes through Infra with well-defined SLAs. The Ops function must bring in reliability for ensuring Biz ops 24x7. Ops functions should bring in integrated view for any given data product from consumption layer all the way till the infra layer. The Ops team should have teams with cross-functional skills and address diagnosis and resolution in an accelerated manner without hand-offs across various layers of the estate. The Ops teams should drive automation, work on enhancing stability and bring in enhancements as needed to cut down the cost of operations on an on-going basis. The emerging paradigm of continuous intelligence is critical to help organizations mine the connected data signals to help open up new possibilities for impactful biz outcomes.
© 2023 Fractal Analytics Inc. All rights reserved
04
Made with FlippingBook - PDF hosting