Optimizing artificial intelligence in technology companies
Many tech organizations are leveraging AI to enhance efficiency and streamline operations. This includes automation and efficiency gains, improving software development and customer service optimization. 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 prioritizing their AI investments, aligning initiatives with strategic business goals and effectively positioning themselves in the rapidly evolving intelligent economy.
At-a-glance insights:
Hybrid operating models dominate technology organizations as they plan for more AI-integrated products and services
A clear vision and aligned strategy is critical for the Technology sector to unlock AI's transformative potential
How to realize value from your AI transformation journey
To address these challenges, KPMG introduces the three phases of AI value — a framework designed to guide retailers through the AI adoption journey. This phased approach provides a structured roadmap, helping retail prioritize investments, align initiatives with business goals, and position themselves effectively in the age of AI in retail. Click on each of the phases below to find out more.
Enable
The Enable phase focuses on enabling people and building AI foundations. Organizations 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 customization.
Embed
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 modernization, while enterprise-wide data enhances operations.
Evolve
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. Emphasizing 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.
Our executive summary provides a cross-sector view of how organizations 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 organization ready to thrive in the intelligent economy.
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