artificial intelligence (AI)

• General Information

• AI Strategy for Companies

• AI Applications Development

• AI-Generated Content Creation

• AEO (Answer Engine Optimization)

• Chatbots

• AI Training

• AI Online Courses

• News: General [Spanish]

• News: Regulation, Legislation, Law and Advocacy [Spanish]

• News: Google [Spanish]

• News: Microsoft [Spanish]

• News: OpenAI [Spanish]

• News: Miscellaneous [Spanish]

Phases in the Development of an AI Application

• Identification of the Problem

  • Identify the problem or need within the company that is being solved or satisfied through the AI application.

• Data Collection

  • Collection of all necessary data for subsequent training of the AI tool.

  • Internal data: from the company itself.

  • External data: clients, suppliers, etc.

  • Types of content: texts, documents, guides, manuals, reports, images, audios, videos, etc.

  • Data preprocessing.

• Algorithm Selection

  • Selection of the most appropriate algorithms depending on the type of problem to be solved.

• Training

  • Training the neural network, feeding it with the previously collected and preprocessed data.

• Testing

  • It is an iterative process. 

  • The greater the volume of training data, the better the learning will be, and the better and more accurate the responses will be.

  • Fine tuning of algorithms. 

  • Checking the quality of the answers.

Whether you are self-employed, an SME or a large company, at U2-LAB™ we help you with everything you need, at all times, from the beginning of the project to its completion and beyond, so that you have peace of mind and can dedicate yourself to what really matters: growing your business/company and offering your clients services of the highest quality, effective and efficient.