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      Optimising artificial intelligence in technology companies

      Many tech organisations are leveraging AI to enhance efficiency and streamline operations. This includes automation and efficiency gains, improving software development and customer service optimisation. But they also face challenges in data scaling, talent and expertise bottlenecks and navigating the ethical challenges of AI adoption.

      To understand the complexities and opportunities of AI technology, KPMG conducted research from over 1,390 global leaders and quantitative analysis from leading AI specialists. In addition, KPMG developed a detailed framework that outlines three phases of AI value. This structured approach is designed to assist technology companies in prioritising their AI investments, aligning initiatives with strategic business goals and effectively positioning themselves in the rapidly evolving intelligent economy.

      At-a-glance insights:
      A clear vision and aligned strategy is critical for the Technology sector to unlock AI's transformative potential
      Hybrid operating models dominate technology organisations as they plan for more AI-integrated products and services

      How to realise value from your AI transformation journey

      To address these challenges, KPMG introduces the three phases of AI value — a framework designed to guide technology companies through the AI adoption journey. This phased approach can unlock significant value through AI-driven transformation, ensuring technology companies remain competitive and innovative. Click on each of the phases below to find out more.


      The Enable phase focuses on enabling people and building AI foundations. Organisations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customisation.

      The Embed phase integrates AI into workflows, products, services, value streams, robotics, and wearables, delivering greater value. A senior leader drives enterprise-wide workforce redesign, re-skilling and change, embedding AI into operating models with a focus on ethics, trust and security. AI agents and diverse models are deployed, supported by cloud and legacy tech modernisation, while enterprise-wide data enhances operations.

      The Evolve phase evolves business models and ecosystems, using AI and frontier technologies like quantum computing and blockchain to solve large sector-wide challenges. AI orchestrates seamless value across enterprises and partners. Emphasising ethics and trust with real-time security, this phase uplifts human potential with broad and deep workforce training, fostering a creative, innovative and value-driven future.


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      The intelligent Intelligent tech enterprise

      A blueprint for creating value through AI-driven transformation

      Our executive summary provides a cross-sector view of how organisations are navigating the opportunities and challenges of implementing AI. Download the executive summary to see the blueprint for intelligent industries to help you become an AI-powered, customer-centric organisation ready to thrive in the intelligent economy.

       

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      Executive summary

      Intelligent industries



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      Our People

      Lyon Poh

      Partner, Head of Corporate Transformation

      KPMG in Singapore


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      KPMG combines our multi-disciplinary approach with deep, practical industry knowledge to help clients meet challenges and respond to opportunities. Connect with our team to start the conversation.