In today’s dynamic landscape where digital business processes are creating vast amounts of data, the pivotal role of artificial intelligence (AI) in extracting strategic value from burgeoning data cannot be overstated. As organisations pivot toward AI adoption to gain a competitive edge, they grapple with fortifying their infrastructure — a strategic cornerstone for sustainable success.
A recent Institute for Business Value (IBV) study underscores the urgency, revealing that 64% of surveyed CEOs face pressure to accelerate generative AI adoption. However, a significant challenge looms, as 60% lack a consistent, enterprise-wide method for implementing this groundbreaking technology.
Amidst accelerating data growth, technological strides, including refined AI algorithms and specialised processors, have reshaped the landscape. Cloud services democratise AI adoption, yet certain parameters necessitate astute consideration to fully harness AI's potential. These important parameters include:
: Many enterprises operate on older IT infrastructure, reliable but lacking agility and scalability for modern AI workloads. Hence, the need to modernise takes centre stage.
Hence, a robust infrastructure emerges as the cornerstone for AI's triumph. Scalable systems, adept at adapting to evolving data dynamics, coupled with seamless integration capabilities, form the bedrock of sustained success. Gartner's projection for 2026 indicates that large enterprises will triple their unstructured data capacity across locations compared to 2023. The surge in data is a testament to the evolving landscape where barriers to AI entry have been dismantled.
For CIOs orchestrating technological evolution, a profound understanding of AI intricacies and strategic vision are non-negotiable. Key tenets for fostering success include:
In this frenetic landscape, providers engage in a race to construct an AI-ready stack and end-to-end toolchain supporting generative AI businesses. However, unlocking the full potential of generative AI lies not only in cutting-edge technology but also in the robustness of the underlying infrastructure.
In conclusion, the path to sustained success in the era of generative AI demands not only the right tools, skills, and visionary leadership but also an infrastructure capable of seamlessly supporting the relentless evolution of AI. As the digital era propels us forward, only CIOs who prioritise and strategically invest in a resilient infrastructure will find themselves at the forefront of the AI revolution.
—The author, Subhathra Srinivasaraghavan, is Vice President, India Systems Development Lab, IBM. The views expressed are personal.
(Edited by : C H Unnikrishnan)
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