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3/19/24, 1:56 PM Navigating AI landscape: Fostering digital agility and resilience – DGN Gate

NAVIGATING AI LANDSCAPE: FOSTERING DIGITAL AGILITY AND RESILIENCE
Community People and Community

By Adrian Pickering, Regional General Manager MENA, Red Hat

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.

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

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