FEATURE : CLOUD COMPUTING
Top cloud training and skills requirement
• Managing hybrid and multi-cloud will require skills in cloud cost optimisation , balancing spending with performance , flexible pricing models .
• Expertise in cloud governance and security is essential to ensure compliance , protect data , and manage access across platforms .
• Enterprise skill sets must focus on data security , governance , and traceability to effectively manage hybrid and multicloud environments .
• Proficiency in emerging technologies such as Kubernetes and containers , alongside experience in separating computing and storage , is essential .
• Skills in managing data flows , machine learning , analytics , data engineering are important while ensuring security and compliance .
• CIOs should prioritise expertise in cloud architecture , API management , cybersecurity to protect critical project data assets and information .
• Managing hybrid and multi-cloud will require skill sets focused on automation and AI-driven operations to improve operational efficiency .
• Teams must be proficient in using the right tools for automating cloud management , resource allocation , and performance monitoring .
• Managing hybrid and multi-cloud 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 . 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 .”
containers , 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 .
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 .
Says Bentley Systems ’ Marsh , “ Successfully managing hybrid and multi-cloud environments in infrastructure requires familiarity with digital twin platforms and tools that enable streamlined
“ To drive long-term success , organisations must empower untapped data talent to reach its full potential . Investing in employee upskilling and leveraging low and nocode analytics tools like Alteryx can democratise access to data insights , enabling every department to unlock valuable opportunities ,” sums up Crowther . p
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