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      Advancements in Artificial Intelligence (AI) and Generative AI (GenAI) are reshaping and revolutionizing all organizations and industries, redefining how value is created.

       

      With the increase of customer expectations and market demand for innovative products, services, and experiences, technology and business executives feel pressured to deliver results with Artificial Intelligence (AI) and Generative AI (GenAI). However, adoption of AI and GenAI is now happening everywhere in the enterprise, requiring leaders to move AI out of an ivory tower and toward developing a strategy that goes beyond an IT-oriented mindset.

      To stay ahead, leaders need to create an environment that provides the capabilities and technologies that enable organizations to embed and extract value across the business value chain at the foundation, function, and enterprise layer:

      • Foundation layer: Organizations must build their AI-first technology stack through a process of technology modernization, including infrastructure, data, models, and applications optimized for delivery of AI.
      • Function layer: Organizations must infuse AI into value streams as well as key and supporting activities to optimize processes, improve outcomes, enhance end-to-end employee experiences, and boost productivity.
      • Enterprise layer: Decision-makers must focus on developing more compelling, engaging, and innovative products and services, enhancing end-to-end customer experiences, and supporting enterprise-wide innovation and business unit strategy.

      The AI Journey to value

      Diagrama que descreve um quadro estratégico de três fases para a adoção de Inteligência Artificial (IA) numa organização, abrangendo três níveis: Empresa, Funções e Fundações. A estrutura está organizada da seguinte forma: Fase 1: Capacitar (Enable) Foco: Capacitar as pessoas. Empresa: Definir casos de uso de alto valor, implantar primeiras salvaguardas de IA, investir em literacia de IA e iniciar um programa piloto. Funções: Implementar casos de uso funcionais, testar e aprender, aumentar as competências das pessoas com IA (tratando a IA como "copiloto") e construir em sprints. Fundações: Selecionar alianças estratégicas em IA, implementar aplicações de IA, configurar e introduzir primeiro modelos simples, aceder à IA através da cloud. Fase 2: Incorporar (Embed) Foco: Incorporar a IA no trabalho. Empresa: Alinhar a estratégia e OKRs com a IA, redefinir o modelo operacional, fortalecer a confiança na IA, remodelar a força de trabalho e orquestrar a mudança empresarial. Funções: Incorporar a IA nos fluxos de valor e processos de trabalho, utilizar a IA para transformar produtos e experiências, e focar no fluxo de valor de ponta a ponta. Fundações: Construir uma "fábrica" de desenvolvimento de IA, selecionar e treinar modelos de domínio, organizar dados à escala da empresa e investir em infraestrutura de IA e cibersegurança. Fase 3: Evoluir (Evolve) Foco: Evoluir a empresa. Empresa: Definir uma estratégia de ecossistema, redefinir o modelo de negócio, implementar plataformas de confiança "sempre ativas" e orquestrar a mudança do ecossistema. Funções: A IA alimenta os ecossistemas e os fluxos de trabalho entre organizações, implanta agentes e evolui novas possibilidades de experiência. Fundações: Implementar a IA em todo o ecossistema, competir usando modelos de domínio e dados do ecossistema, e considerar a IA com computação quântica. O quadro mostra uma progressão desde a capacitação inicial até à transformação total do negócio e do seu ecossistema através da IA.

      The road to value at each layer depends on the maturity level, requiring a different mix of initiatives as the organization traverses the three stages of maturity:

      • Enable the people and functions within the organization to adopt AI and genAI tools and build the foundation for capturing the first wave of productivity.
      • Embed these new capabilities into business workflows, products, services, and value streams to deliver greater value.
      • Evolve the enterprise business models alongside their new AI ecosystem to disrupt and lead in their markets.

      The report “Align AI Strategy Across Three Communities To Grow AI Value" is the second report of a series of three reports co-developed by Forrester and KPMG, on the integration of AI, D&A, Low-Code, Automation and Cloud to optimize processes, enhance user experience, and increase organizational efficiency and effectiveness throughout its value chain. Access the report below to learn more about how organizations are laying the foundations, modernizing and enhancing their functions, and transforming their enterprise in their AI and GenAI adoption journeys.


      Align AI Strategy Across Three Communities To Grow AI Value

      A report co-developed by Forrester and KPMG

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      This report was produced by KPMG’s EMA Advisory Technology Hub, a regional centre of excellence that brings together our business, sector and technology expertise, methodologies and accelerators. We bring together KPMG Member Firms across Europe, Middle East, and Africa to support our client's in accelerating their digital transformation journeys with the use of AI, GenAI, Cloud, Low-Code, Automation and Cybersecurity.


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