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“ It’ s all about establishing the foundation that’ s absolutely necessary, then enabling the client to have the flexibility to go in the direction they want to, particularly when it comes to things like AI adoption. As we think about maintaining operational agility, our focus is on creating resilient, wellgoverned architectures that allow data and workloads to move securely and intelligently, laying the groundwork for scalable innovation and AI readiness.”
Data mobility is the foundation for AI success While the move to cloud delivers advantages for Ensono’ s clients, the company’ s strategy goes further, helping organisations build robust, scalable foundations that future-proof their environments. These foundations are essential for unlocking the full value of data and enabling the adoption of emerging technologies like AI.
When it comes to AI deployment, Vineet emphasises that data readiness is paramount. Seamless data movement across hybrid environments forms the backbone of AI success, ensuring that organisations can access, manage and govern their data wherever it resides.
Ensono offers several key services related to data, including data strategy, engineering and management and solutions for AI and machine learning. When working with clients, the company takes a different path to many providers by focusing first on where and how data is organised, before addressing tooling requirements.
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“ A lot of providers are thinking about creating AI tooling without considering those key aspects,” Vineet says.“ We’ re building AI tooling and have been very successful in doing so, but a lot of what we’ re building is being deployed in our own environments and then across about 200-plus clients. It’ s then tested rigorously so we can demonstrate clear value.”
The company invests heavily in creating frameworks that help clients organise data, recognising that wellorganised data reduces dependence on specific technologies.
“ If you can organise the data and create successful frameworks on which these AI tools can be deployed, we feel that clients will see better value as opposed to just bringing a tool in and then trying to figure out what to do with it,” Vineet affirms.
Data mobility – or fluidity – is a core enabler for this strategy, and innovation on a larger scale. Managing hybrid environments and creating seamless data movement whilst enabling real-time analytics requires substantial cross-platform integration. ensono. com 15