O que é Inteligência Artificial ?
Inteligência Artificial
ia
Como funciona a IA?
Exemplos de IA no dia a dia
Vantagens e desafios
Apresentação elaborada por Afonso na dicplina de TIC
iA
O que é Inteligência Artificial ?
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
• Alimentada com grandes quantidades de dados
• Utiliza algoritmos para identificar padrões
• Tipos: Machine Learning, Deep Learning
Imagem sugerida:
• Fluxograma simples: Dados → Algoritmo → Decisão
• Rede neural visual (camadas de neurónios artificiais)
Elemento interativo:
• Botão que mostra exemplos do dia a dia (ex: Netflix, Google Maps)
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
• Assistentes virtuais (Siri, Alexa)
• Redes sociais (algoritmos de recomendação)
• Saúde (diagnóstico por imagem)
• Carros autónomos
Imagem sugerida:
• Colagem de ícones: smartphone, carro, stetoscópio, like do Facebook
Elemento interativo:
• Cada ícone ao ser clicado mostra um exemplo real
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
• Ética e privacidade
• Substituição de empregos vs novas funções
• Regulamentação
• IA explicável e justa
Imagem sugerida:
• Balança (justiça) + robô
• Globo com circuitos
Elemento interativo:
• Linha do tempo interativa com previsões para 2030 e 2050
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
: IA é a capacidade de dispositivos eletrônicos de simular o raciocínio humano. Não é apenas "seguir ordens", mas sim aprender com dados para tomar decisões, reconhecer padrões e resolver problemas.
Pontos Chave:
o Aprendizagem de Máquina (Machine Learning): Melhoria automática através da experiência.
o Processamento de Linguagem: Entender e falar línguas humanas (ex: ChatGPT).
.
Afonso IA
Afonso José Bruno Guerreiro
Created on March 17, 2026
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Transcript
O que é Inteligência Artificial ?
Inteligência Artificial
ia
Como funciona a IA?
Exemplos de IA no dia a dia
Vantagens e desafios
Apresentação elaborada por Afonso na dicplina de TIC
iA
O que é Inteligência Artificial ?
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
Transformation and Corporate Value
Key Applicationsin the Company
AI
in corporate environments
Responsible Useand Challenges
Corporate Implementation
• Alimentada com grandes quantidades de dados • Utiliza algoritmos para identificar padrões • Tipos: Machine Learning, Deep Learning Imagem sugerida: • Fluxograma simples: Dados → Algoritmo → Decisão • Rede neural visual (camadas de neurónios artificiais) Elemento interativo: • Botão que mostra exemplos do dia a dia (ex: Netflix, Google Maps)
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
• Assistentes virtuais (Siri, Alexa) • Redes sociais (algoritmos de recomendação) • Saúde (diagnóstico por imagem) • Carros autónomos Imagem sugerida: • Colagem de ícones: smartphone, carro, stetoscópio, like do Facebook Elemento interativo: • Cada ícone ao ser clicado mostra um exemplo real
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
How to integrate AI into the organization
Steps for effective adoption
Foster a culture of innovation and continuous learning.
Ensure quality data to train reliable models.
Identify processes with high automation potential.
Measure impact with clear KPIs (cost, time, efficiency).
Start with pilot projects and scale based on results.
• Ética e privacidade • Substituição de empregos vs novas funções • Regulamentação • IA explicável e justa Imagem sugerida: • Balança (justiça) + robô • Globo com circuitos Elemento interativo: • Linha do tempo interativa com previsões para 2030 e 2050
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Ethical AI and corporate governance
Secure and sustainable implementation
Training and staff adaptation to prevent resistance to change.
Bias prevention in models and algorithms.
Responsible data management and privacy.
Transparency and human oversight in automated processes.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Artificial Intelligenceas a strategic driver
Efficiency and growth
Generate new business opportunities and competitive advantage.
Free up talent for higher value-added activities.
Accelerate decision-making through predictive analysis.
Optimize internal processes and reduce repetitive tasks.
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
Where AI enhances performance
Direct impact on corporate areas
HR
CustomerService
Operations
Marketingand Sales
Selection, training, and talent analysis.
Automation, inventory control, and predictive maintenance.
Customization, segmentation, and demand forecasting.
Chatbots, self-service, and 24/7 support.
: IA é a capacidade de dispositivos eletrônicos de simular o raciocínio humano. Não é apenas "seguir ordens", mas sim aprender com dados para tomar decisões, reconhecer padrões e resolver problemas. Pontos Chave: o Aprendizagem de Máquina (Machine Learning): Melhoria automática através da experiência. o Processamento de Linguagem: Entender e falar línguas humanas (ex: ChatGPT). .