Maximize Business Value with an AI-driven Hybrid Cloud Strategy
The AI-cloud strategy
AI adoption can be boosted if it can generate exceptional value.
To realize the full potential of AI, there must be a meticulous and responsible execution of governance and strategy. Articulating sound AI propositions, inextricably linked to enterprise purpose, mission, and values is fundamental to AI governance and strategy. Likewise, upholding AI explainability that manages and resolves ethical and legal issues related to AI systems is of paramount importance. Here are a few steps for curating an efficient cloud strategy:
Foresight: Having a vision for AI and cloud integration is a crucial part of the strategy. This can be in two parts, say AI strategy and foundational strategy. A foresight should be your basis for charting out a clear AI-driven hybrid cloud strategy, which should factor immediate, middle-term, and long-term enterprise objectives. A holistic analysis of the current status quo is the first step in outlining the objectives.
Make it scalable and agile: An agile and a scalable strategy is a must if you want to make the most of the advanced and trending technologies like AI, analytics, machine learning, blockchain, and internet of things (IoT). Also, a scalable solution often translates into more efficient processes and thousands of saved manhours.
A hybrid cloud enables the integration of various systems resulting in seamless data sharing and collaboration among different cloud service providers and stakeholders.
Interoperability between cloud environments can be managed by a single pane of glass on the application level.
Define your industry-specific business needs: Your mission, vision, and objectives are distinct from those of your competitors, so should your hybrid cloud strategy. Enterprises must know that a one-size-fits-all approach is no longer feasible. Your strategy must lay emphasis on robust security while complying with evolving statutory and regulatory standards. Also, evaluate your workload that will lead to the consumption of cloud resources.
Collaborate with the cloud service provider (CSP), whose expertise best matches your requirements as you can seek contextualized solutions to attain value faster. Having a competent strategic partner as an advisor to anchor the complete cloud journey for enterprise cloud adoption is vital.
Have a clear road map: Clearly define your hybrid cloud goals and articulate how it will contribute to the enterprise’s excellence and growth. The AI-driven hybrid cloud strategy must factor in the fact that your cloud journey should be as unique as your growth journey. As cloud experts are scarce, there is a talent war that is likely to intensify. To strengthen your talent pool, you must project the manpower requirement post identifying the skills gap and plan for upskilling the existing personnel well in advance.
An eye on cost optimization: Carrying out migration, modernization, and transition in a phased manner while prioritizing cloud nativity helps in budget control. Legacy infrastructures can have a direct bearing on the costs due to high maintenance and inflexible architecture. With the influx of future-forward technologies, there could be a talent crunch of those who can operate and maintain a legacy system, leading to high wage payouts.
Enterprises worldwide are looking at reversing or minimizing the business and financial impact of technical debt. Cloud and AI can play a pivotal role in technical debt reduction with a host of features like agility, consistency, speed, and continuous monitoring.
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