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3/19/24, 1:55 PM Navigating AI landscape: Fostering digital agility and resilience | Arabian Post
Navigating AI landscape: Fostering

digital agility and resilience

By Adrian Pickering

In an era of rapid technological advancements, organisations are grappling with the challenges of
executing AI and machine learning (AI/ML) projects efficiently. As the digital landscape continues to
evolve, the need for agility and resilience becomes paramount. Numerous hurdles are faced by

organisations, which has necessitated innovative strategies to foster digital agility and resilience
through enterprise intelligence.

With the digital economy constantly advancing, agility and flexibility are not just desirable attributes,
but are key pillars for organisational success. Navigating the complexities of digital transformation

requires a deep understanding of agile principles and the pivotal role of effective data management.
Data, often referred to as the currency of the digital economy, plays a key role in enabling
organisations to thrive.

A D V E R T I S E M E N T

However, several challenges stand in the way of seamless AI/ML project execution. A significant
obstacle is the shortage of talent with key skills, making it challenging to find and retain qualified
professionals. Additionally, the lack of self-service access to AI/ML tools and infrastructure impedes

the workflow of data scientists and developers. Operationalising AI projects further adds to the
challenge, with slow, manual and siloed operations hindering the swift execution of AI lifecycle.
Acknowledging these challenges is crucial, and constant vigilance is necessary to mitigate these

setbacks to achieve success in AI/ML initiatives.

Companies can adopt strategic approaches to leverage AI/ML, such as enabling scale for AI-enabled
applications. This involves providing a consistent cloud application platform across multiple private

and public clouds, facilitating building, training and deployment of AI-enabled applications. Moreover,
collaborations with the ISV & SI community to offer AI tools, models and services accelerates the
development and deployment of AI solutions. Also, the adoption of containers in AI workloads is

gaining prominence, with 94 per cent of AI adopters leveraging or planning the utilisation of
containers in the coming year. This further underscores the increasing significance of containerisation

in developing and enhancing AI workloads.

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The hype surrounding AI/ML has sparked interest in new use cases and possibilities. However,
effective governance of data, applications and IT systems remains a key priority. According to the

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