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GenAI could massively change industry and employment.
Similarly, according to a McKinsey report, generativeAIcould help automate the work taking 70% ofemployees time.
The same report finds GenAIs potential value to the worlds economy to be $4.4 trillion annually.
Yet the fear persists that GenAI could take jobs away rather than add them.
This can be seen in the widespread adoption of GenAI in development teams.
A Sonatype survey of 800 developers found 97% ofDevOpsand SecOps personnel are using GenAI.
It also shows that AI will complicate an already complex technology stack.
Legacy tech architectures also need investment.
The IT patchwork plagues enterprises and theres a critical need for skilled, knowledgeable software engineers and incident responders.
If AI can be deployed correctly it could alleviate critical downtime.
Yet without thedataintelligence provided by AI, organizations will struggle to achieve operational maturity and resilience.
AI can enable noise reduction, incident response and faster mean time to resolution (MTTR).
When combined with human intuition, GenAI will bolster IT andcustomersuccess, with process automation fulfilling a critical role.
Working in partnership with AI, IT teams can address traditionally siloed networks and efficiency barriers.
To achieve this balance, organisations must utilise human skills and prepare teams for the AI era.
These skills include investigation and analysis in fault finding, and reverse engineering.
Therefore, engineers needprogrammingcapabilities and facilities with common architectures, with the skills to serve them.
Chief Information Officer at PagerDuty.
Combining human and AI skills
Education suited for GenAI includes proficiency in prompt engineering.
The skills required for this role are distinctly human.
Prompt engineers must collaborate with cross-disciplinary teams, fulfilling consulting and quality control roles.
Graduates with interdisciplinary tech and soft skills may best suit AI.
The breadth of technical and human skills here shows how versatile IT teams must become.
This is definitely the case for generative AI.
These include interpersonal communication, empathy, teamwork and particularly creativity.
Would you be moved by sunflowers painted by an AI to the tune of $40m?
Would a customer respond best to a human response or achatbot?
The shared human experience is the fabric of every successful enterprise.
Communication, collaboration and innovation will also help CIOs/CTOs find and retain the talent to work alongside GenAI.
Tech leaders must ask themselves how they want the industry to evolve.
Will it be one of siloed technologies, diminishing skills and stretched IT teams?
Or one where even more qualified human IT teams and responders use AI and automation to remedy digital incidents?
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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