Cloud & 5G LIVE 2025: Simon Paul, Cognizant Keynote
At Cloud & 5G LIVE 2025, Simon Paul, Vice President of CIS Sales Americas at Cognizant, discussed how generative AI (Gen AI) is transforming IT teams and enterprise operations. He explored the evolving role of AI agents, the importance of strategic adoption and the need for governance in AI-driven environments.
Gen AI: The next big disruption
Simon opened his keynote by describing Gen AI as the most significant technological disruption of his lifetime. While AI has been in use for years, the introduction of reasoning and generative capabilities has accelerated interest and investment in the field.
Over the past 18 to 24 months, organisations have moved from curiosity to implementation, running proofs of concept and identifying business-critical use cases.
As companies explore AI, they are differentiating between everyday AI – used in routine business operations like IT and finance – and game-changing AI, which drives competitive advantages in areas such as drug development or supply chain optimisation.
AI agents are now a focal point, with businesses deploying them to automate tasks, assist human workers or handle specialised functions.
However, managing these agents at scale poses new challenges, prompting a shift toward multi-agent orchestration – a structured approach that ensures AI systems work together efficiently across the enterprise.
Building an AI strategy: Agility and governance
For AI to deliver value, organisations must adopt a well-defined yet adaptable strategy.
Simon emphasised the need for executive buy-in and enterprise-wide vision, ensuring AI initiatives align with business goals.
Given the rapid evolution of AI models and capabilities, strategies must be flexible enough to incorporate new developments, such as cost reductions and performance improvements in AI deployment.
Equally important is fostering a culture that embraces AI. Businesses must address trust issues and internal biases – both from early adopters who overestimate AI’s capabilities and sceptics who resist its implementation.
Establishing AI governance councils and adhering to ethical AI standards can help companies navigate these challenges. Simon highlighted the importance of robust evaluation frameworks, ensuring AI models are tested rigorously before deployment.
Another key consideration is data quality.
“What you feed is what you get out,” Simon noted, stressing the need for strong data foundations.
Businesses must also determine whether to build or buy AI solutions, balancing internal innovation with third-party tools. Without a coordinated approach, organisations risk creating fragmented AI initiatives rather than a cohesive enterprise strategy.
The impact of AI on IT operations
Simon provided insights into how Gen AI is transforming IT operations, moving beyond traditional analytics to real-time intelligence and automation. AI-driven IT systems can now:
- Predict and prevent outages – Instead of reacting to issues, AI can identify potential failures before they occur.
- Automate incident response – AI agents triage, diagnose and resolve problems faster, reducing downtime.
- Enhance employee support – Chatbots and voice AI agents streamline IT service desks, improving response times and user satisfaction.
Simon explained the importance of multi-agent orchestration – where AI agents collaborate to resolve complex issues. For example, when a user reports a VPN connectivity problem, multiple AI agents can:
- Create and update a service ticket.
- Check network equipment for faults.
- Trigger automated troubleshooting procedures.
- Provide real-time updates to the user.
By integrating these processes, organisations achieve faster resolution times, increased productivity and improved service reliability.
AI adoption: Focusing on outcomes
Despite AI’s technical advancements, Simon reminded the audience that the ultimate goal is improving business and customer outcomes. While companies may be eager to implement AI, success is measured by its impact on users, not just technological sophistication.
He stressed the importance of goal-oriented AI implementation, ensuring that AI delivers tangible benefits such as:
- Enhanced employee productivity – AI-assisted workflows reduce inefficiencies.
- Fewer service disruptions – Predictive AI minimises outages and IT failures.
- Better business continuity – Reliable IT infrastructure supports seamless operations.
“Technology is exciting, but what really matters is the outcome,” Simon said. Whether it’s ensuring smoother IT services or preventing costly downtime, AI must serve a clear purpose.
The future of AI in enterprise IT
Looking ahead, Simon predicted continued advancements in proactive AI systems, predictive maintenance and AI-driven IT transformation. As AI becomes more sophisticated, businesses must remain agile, balancing innovation with governance to maximise its benefits.
His final advice to organisations was clear: start with strategy, focus on data, ensure governance and prioritise user impact. AI is a powerful tool, but only when integrated thoughtfully into business operations.
Essential diary dates for 2025
Discover the essential diary dates for Mobile Magazine, as well as its sister publications – Cyber Magazine, Data Centre Magazine and Technology Magazine.
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- Data Centre LIVE | 25 March
- Tech & AI LIVE London + Cyber LIVE London| 14-15 May
- The Global Tech & AI Awards | 14 May
- Tech & AI LIVE: Gen AI | 21 October
- Tech & AI LIVE New York | 18 November
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