The semantic revolution is already among us.

The future of artificial intelligence is closer than we think. In the last year, we've witnessed AI booming, rapidly impacting a society that never imagined it would reach this point so quickly. The renowned company OpenAI has carved out a significant niche in the market thanks to its AI tools, such as DALL·E and ChatGPT.

Companies have quickly adapted to this evolution; now we will see some examples of how they implement ChatGPT, where user data is used as context to personalize interactions, reduce operating costs, automate manual processes, and improve the user experience.engagement-conversion.

6 use cases for implementing ChatGPT in companies and organizations

1. Automation of call center y customer support: Implementing models NLP (understanding, generation and manipulation of human language) to understand the intention, the sentimental tone and the typology of the consultation or the desired request of the client.
2. Building business knowledge bases: Centralize and classify all information on products, processes, contracts, protocols, and projects to be consulted through a question/answer mechanism interface.
3. Chatbots and intelligent virtual assistants: The goal is to use customer information as context to personalize interactions and recommendations. For example: names, preferences, categories, purchase history, etc.
4. One-to-one content: Automatically create B2B or B2C content in different formats, which can now be newsletter, emails, articles, posts, etc. Always using the preferences, profiles and consumption history of the users.
5. Recruitment and talent management: Automation of the candidate assessment, application and on-boarding through question/answer format interviews.
6. Creation and qualification of leads: Qualify leads and customers based on their customer journey. Generating digital interactions (emails, messages, calls) with personalized content and offers.

What risks should we consider?

We have previously seen some examples of how companies and organizations are using artificial intelligence to their advantage, but just as it provides benefits, there are also some risks to consider when implementing AI. These include inappropriate, offensive, erroneous, or misleading responses that could negatively affect certain user groups.

This is where other artificial intelligences come into play.

Dezzai

Dezzai is a company/start-up Specializing in semantic artificial intelligence, this means that it is basically in charge of natural language processing and knowledge graphs and, on the other hand, artificial vision solutions for different sectors.

In short, Dezzai can help reduce these risks by minimizing the reproduction of biases or prejudices that may be present in the algorithms through the implementation of hybrid learning processes with human supervision for specific domains of knowledge.

Now let's go into a little more detail and list 6 important points about why Dezzai can really help reduce these risks:

Why can Dezzai help reduce the risks involved in this implementation?

1. Dezzai has extensive experience of more than 6 years working on the research, development and implementation of the state of the art of semantic artificial intelligence and knowledge management.
2. They have a team of linguists and data scientists with expertise in the domain to create or adapt advanced NLP techniques (understanding, generating, and manipulating human language) that allow adapt the technology ChatGPT to specific domains and complex use cases.
3. Semantic artificial intelligence developed by Dezzai enables the extraction, classification, aggregation and activation of any type of fact (image, video, voice or text)
4. The technology of graphs provided by Dezzai, can give ChatGPT the ability to generate personalized recommendations and interact with real-time omnichannel analytics. So, increasing the value of each user interaction while maintaining consistency of the communication of the brand.
5. The ontologies and semantic technologies Dezzai allows audit and monitor the algorithms of artificial intelligence that are applied to the following fields:
   1. Performance: Optimization of the model architecture for proper functioning and compliance with technical requirements.
   2. Decision making: Monitor flows, parameters, and biases in processes and decision branches.
   3. Data privacy and security: Reduce the risk of leaks of sensitive information.
   4. Compliance and regulation: Preventing intellectual property infringement and auditing compliance with regulatory standards GDPR (General Data Protection Regulation) and HIPAA (Health Insurance Transfer and Liability Act)
6. The methodology and development Dezzai allows:
   1. Run proof-of-concept tests in a short amount of time to validate AI models in less than 8 weeks.
   2. Implement optimized architectures for the scalability, transversality and cost efficiency.

The interaction between artificial intelligences

Cooperation between the technologies of ChatGPT and Dezzai make automation possible. semantics to reduce operating costs and shorten ROI time and the creation new sources of income.

At this point, we can conclude that artificial intelligence is a very powerful tool which, through its correct implementation and understanding of its potential impacts, can significantly streamline a company's processes.