Page 46 - BENTLEY SYSTEMS PR REPORT - March 2025

alongside experience in separating computing and storage, is essential for flexibility. Skills in managing data
flows, machine learning, analytics, and data engineering are important while ensuring robust security and
compliance measures, says Cloudera’s Shakora.

IT professionals should also have the ability to utilise both public and on-premises cloud solutions
seamlessly, using platforms for improved data management and enabling self-service access while
maintaining secure, well-governed systems.

Says Bentley Systems’ Marsh, “Successfully managing hybrid and multi-cloud environments in infrastructure
requires familiarity with digital twin platforms and tools that enable streamlined collaboration and data
integration. CIOs should prioritise expertise in cloud architecture, API management, and cybersecurity to
protect critical project data assets and information.”
Incorporating AI-driven solutions can help automate repetitive tasks and improve resource allocation,
ensuring teams can adapt quickly to new project demands, and reduce project costs.

Managing hybrid and multi-cloud environments in 2025 will require enterprise skill sets focused on
automation and AI-driven operations, AiOps to improve operational efficiency. Teams must be proficient in
using and creating the right tools for automating cloud management, resource allocation, and performance
monitoring.
Additionally, strong knowledge in recovery, resilience, and backup strategies will be essential to ensure data
security and business continuity across diverse cloud platforms. “These skills will enable organisations to
maintain a seamless, secure, and highly efficient cloud infrastructure, reducing complexity while enhancing
scalability and reliability in hybrid and multi-cloud environments,” says Zoho’s Paramasivam.

According to Globant’s Pienovi, “Managing hybrid and multi-cloud environments will require advanced
business-process observability, ensuring platforms are understood in business outcomes. Enterprises will
need to architect intelligent cost management, as hybrid platforms often conceal operational expenses.”

Zero Trust architecture expertise is crucial, viewing cybersecurity as an enabler rather than a barrier.
Organisations must also understand how to leverage AI-based tools to manage complex, distributed
technical challenges across cloud ecosystems.

In 2025, data roles will evolve with the next generation of data workers. Previously, data careers required deep
application and coding expertise alongside domain knowledge. Now, with alternative learning methods
beyond schooling and AI-driven automation, more workers can use tools without mastering software or
coding.
“This shift reduces reliance on traditional data scientists but raises concerns about potential blind spots,
such as teams lacking the skills to address application coding issues,” says Alteryx’s Crowther.

“To drive long-term success, organisations must empower untapped data talent to reach its full potential.
Investing in employee upskilling and leveraging low and no-code analytics tools like Alteryx can democratise
access to data insights, enabling every department to unlock valuable opportunities,” sums up Crowther.

https://www.intelligentcio.com/me/2025/03/05/driven-by-ai-cloud-computing-is-changing-fast/