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ClearlyAIis no longer a future, aspirational technology but today an increasingly essential driver of business transformation.
Yet, the rapid pace of AI development means that creating an effective AI strategy can be complex.
A flexible approach that incorporatescloudintegration, containerization, and automation.
Senior Director & General Manager at Nutanix.
AI is a powerful tool, but without a clear app, it can easily become a costly distraction.
Its a powerful way to use cutting-edge technology, while keeping control of sensitive data.
Any AI strategy worth its salt must be built on a flexible cloud infrastructure.
A cloud-first approach allows organizations to manage these changes without costly, time-consuming hardware upgrades.
However, AIs dependence on data raises important questions aroundsecurityand governance.
This is particularly true in sectors such as finance, healthcare, and government, where dataprivacyis paramount.
Cloud-based environments offer built-in security features that can help protect data across various platforms.
However, understanding your own data and applying AI models to it effectively is a key challenge.
Organizations must ask the right questions - where is my data stored?
How is it secured?
How is it used in training AI models?
Automation can unlock AIs full potential
Automation plays a crucial role in the successful deployment of AI.
Managing AI workloads across multicloud environments can be time-consuming and resource-intensive if done manually.
This also reduces operational costs, allowing IT teams to focus on more strategic objectives.
AIapplicationsbenefit greatly from using containers - small, lightweight environments that package AI models and their dependencies.
These containers allow AI systems to be deployed quickly and moved seamlessly between different environments.
Kubernetes, in particular, enables organizations to orchestrate complex AI workloads across cloud platforms, ensuring optimal performance.
This becomes even more important when we consider skills shortages.
The fast-paced nature of AI requires teams that can quickly adapt to new tools and techniques.
However, the reality is that many organizations lack the in-house expertise to meet this demand.
Automation provides a solution to this challenge by reducing the complexity of AI deployment.
With the rapid evolution of AI technologies, ensuring responsible implementation is crucial.
Organizations must focus on compliance, governance, and ethical considerations when deploying AI.
The key to future success is building a strategy that can evolve with technology.
Getting a strategy right is about people as much as the technology.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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