Artificial General Intelligence (AGI): The Future of Process Automation
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Artificial General Intelligence (AGI): The Future of Process Automation

Approfondisci nel corso Fondamenti di Intelligenza Artificiale
Slide through the evolution

From today's AI to AGI

Move through the stages: what AI can do on its own grows, up to the idea of a general intelligence.

Narrow AI

Systems specialised in a single task: recognising images, forecasting demand, filtering email. They excel there but can't do anything else. It's the most common AI today.

  • One specific task
  • Already in production
Generality

Generative AI

Models that generate text, images and code and adapt to many tasks through natural language. More flexible, but without true autonomy: they respond, they don't act.

  • Multi-task
  • Natural language
Generality

Agentic AI

AI uses tools, plans and completes multi-step goals, with human oversight. It's the current frontier for businesses.

  • Plans and acts
  • Uses tools
Generality

AGI — Artificial General Intelligence

The hypothesis of an AI able to learn and reason on any task like a human. It doesn't exist yet: it's the research horizon, with major ethical and governance implications.

  • Any task
  • Still theoretical
Generality

Artificial General Intelligence (AGI): The Future of Process Automation

Artificial General Intelligence (AGI) is a field of theoretical research in artificial intelligence that aims to create software endowed with human-like intelligence and the capacity for self-learning. The goal is to develop software capable of performing tasks for which it has not been specifically trained or designed.

The difference between AGI and AI

Current artificial intelligence models all operate within a set of predetermined parameters. For example, AI models trained on image recognition and generation cannot build websites. AGI, by contrast, is a theoretical pursuit to develop AI systems that possess autonomous self-control, a reasonable degree of self-awareness, and the ability to acquire new skills.

The possibilities of AGI

AGI with human-level capabilities remains a theoretical concept and a research objective. Nevertheless, the progress made in this field has already produced remarkable results. For instance, AI summarisation tools use machine learning (ML) models to extract key points from documents and generate a coherent summary.

NoraSoft and AGI

At NoraSoft, we believe that artificial intelligence can be used to improve business processes and digital services. We specialise in leveraging artificial intelligence to automate processes and deliver innovative digital services for businesses and freelance professionals.

Call to Action

Would you like to learn more about how NoraSoft can help your business improve its efficiency and grow? Contact us today and let us explore together how artificial intelligence can be used to enhance your business processes.

Fonte: https://www.norasoft.it/

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