Globant Enterprise AI is a business platform designed to facilitate the implementation of AI assistants tailored to your specific needs and areas of expertise.
You can create AI Assistants that can integrate and interact with your current operations, processes, systems, and documents, creating new paths of innovation and productivity to explore.
One of the great benefits of using Globant Enterprise AI is the ability to select a Large Language Model (LLM) and later switch to another without changing your definitions. Thus, Globant Enterprise AI acts as a secure bridge, connecting enterprise applications to LLMs while providing a variety of tools and features to boost productivity and innovation.
Since Globant Enterprise AI is an intermediate layer, anyone who works with it is protected because the data will not be made public or used by the LLMs.
To facilitate the integration of LLMs into your workflow, Globant Enterprise AI offers features that enable you to:
- Monitor access to LLMs through customized authentication and authorization protocols.
- Provide a Web interface with a look and feel that is familiar to LLM users, branded and managed by your organization.
- Supervise the costs and interactions associated with each LLM for streamlined analysis and control.
- Manage quotas per solution to keep your spending in check.
In addition, for those looking to integrate AI capabilities into their custom corporate software, Globant Enterprise AI provides the ability to:
- Automatically generate APIs and version the assistants and prompts you create using the Chat Assistant.
- Optimize your AI exploration by effortlessly switching between different LLMs.
- Reduce dependency between the AI applications you develop and their underlying LLMs.
- Leverage pre-built AI functions like 'Chat with your Documents' and 'Chat with your Data' to accelerate your AI adoption journey.
These AI applications, designed to be integrated into production environments, require a set of essential non-functional and functional characteristics for business applications.
- Observability
- Maintainability, Future Proofing
- Security
- Scalability
- Accountability
- Retrieval Augmented Generation (RAG) for private documentation
- Intent-based navigation for existing user interfaces
- Assistants for power autocomplete
- Definition and chaining of assistants and actuators
- Autonomous or semi-autonomous execution agents
From a process perspective, it is also crucial to consider development elements such as versioning and testing assistants, and deploying them.
Globant Enterprise AI was designed using an architecture of multiple logical layers that can be accessed independently and incrementally.
This means you can start by just consuming a particular model, then conceptualize those accesses as assistants, and finally as a use case.
- Centralized data and cost observability
- Development of POCs (Proof Of Concept) or products that quickly “cognify” business, reducing costs or time for a specific business area
- Time to market for AI solutions in a safe and scalable manner
- Canonical use cases for AI solutions:
It is essential to understand the information lifecycle and be able to measure various business indicators regarding the use and costs of the AI models being utilized.
Business applications need to understand which business domains are using which AI models; check the backoffice section.
AI models are evolving rapidly. Can businesses keep up? Can your interfaces fluctuate and test each model without breaking connection interfaces? How can you become independent of these decisions, often tied to cost, privacy, or other factors?
Globant Enterprise AI allows for the independence of created interfaces from the accessed models, enabling agents to evolve with a business perspective, separate from the underlying AI models' evolution.
Businesses require access security, data security, data governance, and alerts for potential rule breaches. Globant Enterprise AI provides everything needed to achieve control over what happens with data within the company, ensuring that data travels securely and adheres to business-imposed rules.
Performance should not be degraded by business success. Having infrastructure designed for secure and scalable communication with models is essential when deploying products in production. Using Globant Enterprise AI ensures that if the business succeeds, scalability concerns are addressed.
Globant Enterprise AI provides all the services and abstractions necessary for implementing emerging UX patterns in an integrated frontend. It offers the following services:
- Chat with any document set, essentially building a private ChatGPT for unstructured company documents (RAG Assistant)
- Assistant creation and chaining for various business objectives
- Autocomplete assistants
- Summarization assistants
- Private instance to chat with LLMs
Globant Enterprise AI allows you to version all your assistants; this is a great feature that allows you to evolve assistants without breaking things.
You need to be aware that programming with non-deterministic agents could be a challenge without help.
With Globant Enterprise AI, you can declare different versions of your assistants and start enabling different access to them depending on the consumer.
You can create a complete regression test suite with the new version of a new assistant before entering production. Actually, you can match your current staging planning in order to evolve your solution with confidence.
Access to the platform's various layers is generally programmable using any programming language. Access is granted via access tokens per project or organization.
In addition to programmatic interfaces, you can quickly create Playgrounds to demonstrate AI technology capabilities.
If you are already using an integration with OpenAI API with minimal changes, simply update the base URL and Authorization header in your existing OpenAI SDK to set up the route request through Chat API. Check the Ingestion SDK if you need to connect to different data-sources.
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Globant Enterprise AI Course (Spanish videos)