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Indo Além dos Pilotos de Inteligência Artificial para Alcançar IA em Escala

Dimensionar a inteligência artificial pode gerar uma grande vantagem competitiva, mas investir em tecnologias e algoritmos de ponta não basta. É preciso reestruturar a tomada de decisões e as operações para extrair valor e investir em competências humanas para fazer com que se mantenha. No BCG, nos referimos a isso como regra 10, 20, 70.

Os pioneiros de IA em Escala — as empresas que expandiram a IA em todo o negócio e obtiveram valor significativo a partir de seus investimentos – normalmente dedicam 10% de seu investimento em IA para algoritmos, 20% para tecnologias e 70% para incorporar a IA em processos de negócios e novas formas de trabalhar. Em outras palavras, essas organizações investem duas vezes mais em pessoas e processos em comparação com seus investimentos em tecnologias.

Quando as empresas investem pouco em pessoas e processos, elas perdem impulso rapidamente com IA. Isso ocorre porque é bastante simples lançar uma série de pilotos de IA bem-sucedidos. Sem a abordagem certa e foco voltado para a estratégia de gerenciamento de mudanças, é praticamente impossível expandir a IA para toda a empresa.


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BCG’s AI consulting team and practitioners help clients quickly launch AI @ scale initiatives using a variety of techniques, including machine learning, large-scale optimization, and simulations. Our AI @ scale approach—built on lessons from hundreds of client engagements—is to think big, start small, and grow fast. With this framework, companies deliver results in weeks or months, rather than years.

Think Big

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Our AI consulting team, working in hybrid, cross-functional teams, ensure that companies have the full range of expertise to drive a companywide digital transformation. Here are just some of the capabilities we bring to AI @ scale.

  • For AI strategy, we leverage deep domain experts as well as digital and analytics strategists.
  • To drive use cases, we engage a custom team of AI experts, including artificial intelligence consultants, product owners, data scientists, data engineers, machine learning engineers, and AI architects.
  • To deliver data and analytics, we deploy product owners, data engineers, and platform and cloud architects.
  • To ensure fast execution, we activate agile coaches and scrum masters, project managers, business analysts, and subject matter experts.
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