Discover how the intelligent integration of data classifiers in «Chat with Your Data» is revolutionizing operational efficiency and strategic decision-making in the Oil & Gas industry, transforming the interaction with information into a powerful and accurate dialog.

Fast and accurate access to information is critical to optimizing operations in any oil and gas company.

In this complex and challenging context, «Chat with Your Data» is born, an innovative solution developed by 7Puentes that uses a multi-agent system, meaning that it has different «agents» specialized in different tasks. Each agent is designed to process and answer specific questions, ensuring accurate and relevant information in real time, according to the needs of the user and the company.

By being able to interact directly with accurate business information through lightweight, actionable documents, these frameworks are able to provide the answers needed in seconds and streamline decision making. In this case, where it used to take a human days to read many texts, a multi-agent model takes a few minutes or seconds.

From optimizing logistics and reducing operating costs to improving workplace safety and predicting potential equipment failures, Chat with Your Data offers unprecedented potential to drive efficiency and innovation in the oil and gas industry.

In this post, we review the technical development of our first release (Sprint 1). We’ll tell you how we integrated our classifiers into both the user interface and the chatbots themselves. In addition, a key innovation is that documents can now be managed using tags.

The Value of Integrating Our Classifiers

During this sprint, the classifiers developed in Sprint 1 were integrated directly into the user interface and logic of the conversational agents. The goal of this integration is to enable automatic and efficient data training and categorization, increasing the potential of the chatbots that use them.

From the classifier screen, you can train and use different types of models.

In addition, this functionality is integrated into chatbots so that models can be trained and classified on different data sets.

We added tag management

Another core feature introduced was the ability to manage documents using tags, which allows for better organization of content on the platform. Tags are labels that can be assigned to documents, allowing them to be grouped by topic, process, team, or any other criteria relevant to the user.

This feature allows for more flexible management of different types of documents, streamlining the creation of specialized chatbots.

Tags can be assigned to documents from the document screen.

Then, a set of documents associated with a tag can be assigned using the Attachments w/Tags option.

Advantages and opportunities of chatting with your data

The main competitive advantages of integrating this technological solution include

  • Accurate information requests in real time.
  • Transfer of expert knowledge throughout the organization.
  • Significant cost and time savings for oil and gas personnel.
  • Multimodal models that free up human resources for other valuable activities and offer a high level of customization based on each user’s role.
  • Agile and easy to implement frameworks and software.
  • Interaction with information from multiple processable documents and with information from sensors and structured cabling in the enterprise, especially IoT.
  • Robust and secure system that allows easy interaction between structured and unstructured data, enabling connection to disparate sources and improving information processing.
  • Local servers with greater control over models and processed data.
  • High-quality solutions and insights that are iterated over time. This accelerates the work and project turnaround times of specialists in the field.
  • No intensive knowledge of AI or data science required to interact with the chatbot.
  • Dedicated and personalized customer service.

If this topic really interested you, we invite you to

  • Share this post with other professionals and leaders.
  • Explore the possibilities of implementing Chat with Your Data in your organization.
  • Find out what other documentation or sources would be interesting to process with this chatbot.
  • Schedule a call with the 7Puentes team of experts.