Generative AI on AWS and its impact on business

What is Generative AI? Why is it important? How does it work?

Generative AI is a branch of Machine learning. Within machine learning, there are deep learning neural networks, and within these, generative artificial intelligence, which includes large-scale language models like GPT, Claude 2, or Titan, the latter two used by AWS.
Generative AI represents a crucial advancement because, for the first time in history, machines are emulating the human brain to the point of being creative. They are no longer limited to performing only the most automatable and repetitive tasks; now they are also capable of carrying out activities similar to human thought, including creativity, something we thought was exclusive to humans until recently.
Thus, the functions that machines can perform have significantly expanded, and we no longer impose limits on them. Additionally, generative AI is considered a step towards general AI, that is, AI at the human level. OpenAI and Sam Altman argue that achieving general AI is the goal. Therefore, the importance of generative AI is enormous, not only for the technological field but for humanity in general.

General Benefits of Generative AI

This technology uses complex neural networks to generate new and unique content, extending beyond text and images to also include other formats like videos, as we have seen in OpenAI's Sora tool.
The main benefit of generative AI, therefore, is its ability to emulate human creativity, allowing its application in a wide range of media, activities, and tasks. This fact makes the benefits immeasurable. For example, there is the possibility of experiencing novels or movies that adapt in real-time to the viewer's preferences.

Benefits of Generative AI at the Industry Level

In the business field, based on our experience, the two most notable key benefits of generative AI are as follows:

• Improvement of the end-user experience: a concrete example is the development of generative bots for customer service, such as the one we have implemented for CAT 112, where users can interact with a bot to get quick answers without the need to manually search for information.
• Support for operators or agents: generative AI also supports workers in various roles through assistants, known as copilot, that facilitate their work. The vision is that, eventually, every worker could benefit from a personalized digital assistant.

The active implementation of these applications in various projects highlights their ability to improve user interaction and optimize support processes, effectively functioning as a "life search engine" that enhances the accessibility and relevance of the information provided.

How does AWS help through generative AI?

AWS offers comprehensive solutions that facilitate the adoption and implementation of generative AI, through services like Bedrock, Kendra, and Amazon Q. These not only provide the necessary tools to develop AI-based applications but also represent an advancement in semantic search and support, as well as assistance to programmers and operators:

• Amazon Q is a virtual assistant capable of providing immediate answers, generating content such as emails, document summaries, or corporate texts, and providing ideas for decision-making.
• Bedrock, through a unified application programming interface (API), provides unique direct access to the most advanced generative AI models in the industry. This allows for easy integration of generative AI and facilitates the creation and innovation of applications.
• Kendra offers an intelligent enterprise search service that, by integrating with conventional search solutions, allows company users to quickly find the necessary information efficiently and without complications.

SEIDOR's value proposition in generative AI with AWS

The value proposition of SEIDOR in the field of Generative Artificial Intelligence (GenAI) together with AWS focuses on the mission of empowering business leaders to be key agents in the digital transformation of their organizations.
SEIDOR proposes a comprehensive approach that encompasses not only the implementation of cutting-edge artificial intelligence applications but also the provision of support, along with advisory and strategic consulting services. The main objective of this proposal is to equip business leaders with tools specifically designed for the development of use cases that bring real and significant value to their businesses.
This approach promotes the autosuficiencia of clients instead of their total dependence on the partner, thus ensuring that initiatives are in complete alignment with the needs and strategic objectives of the business.
The differential value of SEIDOR is also supported by its deep knowledge and experience in AWS services, obtained through the successful implementation of numerous projects. After the use case is defined by the client, SEIDOR develops a personalized roadmap that guides the effective implementation of the proposed solution.
The methodology of SEIDOR stands out for its agility and flexibility, crucial aspects in the field of generative AI, where it is essential to make adjustments, innovate, and adapt.