Page 45 - Red Hat PR REPORT - MARCH 2024

3/19/24, 1:58 PM Navigating AI landscape: Fostering digital agility and resilience | by Arabian Post | Arabian Post News | Mar, 2024 | Medium
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.

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 2023 Enterprise Cloud

Index, organisations are leveraging multiple types of IT infrastructure,

indicating a shift toward diverse and hybrid environments. Building the

optimal AI-ready infrastructure has the potential to expedite AI/ML

initiatives, but companies should prioritise sustainability, cost

management, security and other IT governance compliance aspects.

The integration of AI into the open hybrid cloud is a significant step

forward. To drive this transformation, open-source artificial intelligence

and machine learning (AI/ML) platforms like Red Hat OpenShift AI offers

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