Building Real-World AI Applications for Enterprises by Leveraging OpenAI Capabilities.

By using Microsoft Azure, ThirdEye has built exclusive OpenAI-powered applications that solve real-world challenges across industries by scaling up and enhancing operational efficiency while delivering enterprise-grade security and management capabilities.

Leveraging Our OpenAI Expertise in Building Enterprise-Grade Applications

ThirdEye has hands-on expertise in Azure OpenAI services. We leverage large, pre-trained, and custom AI models to build intelligent enterprise applications.

We leverage the following LLMs for building enterprise-ready generative AI applications:

  • GPT-4
  • DALL-E
  • Florence

Infusing OpenAI capabilities to the enterprise applications with the following tools:

  • Azure Cognitive Search
  • Azure Form Recognizer
  • Azure Synapse Analytics
  • Azure Speech Service
  • Azure Machine Learning
  • Azure Databricks
  • Azure Cognitive Services
  • Azure Personalizer

We manage enterprise data and their security with the following tools:

  • Azure Cosmos DB
  • Azure Database for PostgreSQL
  • Azure SQL Database
  • Azure Data Lake

Explore the real-world use cases of OpenAI's language models across various domains.

Contact Center Analytics

Support Your Customers Well

Using Speech to text service for automatic Contact Center Analytics form filling and entity extraction with OpenAl to machine readable records.

Domains: Retail, Manufacturing, Healthcare, Legal, Finance

Conversational AI

Meaningful Conversations

The capabilities of OpenAI’s models enable developers to create interactive and natural conversational experiences for customers.

Domains: Retail, Manufacturing, Healthcare, Legal, Finance

Find Relevant Information

Get Going With Your Work

Digitize documents, find relevant information through Semantic or Cognitive Search, and summarize them (e.g. legal document summarization).

Domains: Retail, Manufacturing, Healthcare, Legal, Finance

Sentiment Analytics

Know Your Customers

OpenAI’s models can be leveraged to perform sentiment analysis on various types of text, such as customer reviews, social media posts, or support tickets.

Domain: Retail

Summarize Large Documents

Reading Made Easy

With OpenAI’s LLMs, enterprises can generate a concise summary while extracting key information from large volume of  documents or files.

Domains: Manufacturing, Healthcare, Legal, Finance, Retail

Semantic Search for Large Data

More Finding, Less Searching

Leveraging OpenAI’s models for semantically searching over a large corpus of data, finding relevant information based on the context.

Domains: Manufacturing, Healthcare, Legal, Finance, Retail

Not seeing the kind of OpenAI solutions you are looking for in the list?

No worries; we also build custom OpenAI solutions to meet unique business needs. Feel free to share your requirements with our OpenAI experts.

OpenAI Capabilities – Geared for Enterprise Use

1. Powerful AI Capabilities

OpenAI’s language models offer powerful AI capabilities that can understand and generate human-like text. This versatility allows enterprises to apply the models to a wide range of use cases.

2. Efficiency and Time Savings

OpenAI models can rapidly process large volumes of data, generate reports, or provide real-time assistance. These abilities help enterprises to streamline their operations, increase efficiency, and save valuable time. 

3. Enhanced Customer Experience

OpenAI’s language models can understand natural language inputs and deliver contextually relevant responses, creating more engaging and satisfying interactions for customers.

4. Flexibility and Adaptability

OpenAI’s language models offer flexibility and adaptability to suit different business needs. They can be fine-tuned and customized to align with specific industry requirements or tailored for specific use cases. Enterprises can train the models on their own datasets.

5. Innovation & Competitive Edge

OpenAI models enable the development of new applications, and solutions which were previously difficult to achieve. With OpenAI’s cutting-edge technology, enterprises can drive innovation and gain a competitive edge in their respective domains. 

6. Cost-Effectiveness

OpenAI models provide a ready-to-use solution that significantly reduces the cost required to implement AI technologies. Enterprises can leverage OpenAI models through APIs or cloud platforms like Azure, paying for the usage or subscription.

Leverage the custom AI models we built by harnessing OpenAI's power and Microsoft Azure's robustness.

FAQs around OpenAI Applications for Enterprises

OpenAI and Azure OpenAI services provide powerful natural language processing (NLP) capabilities, including language generation, language translation, sentiment analysis, question answering, and more. These services leverage advanced machine learning models to understand and generate human-like text.

OpenAI provides APIs and SDKs that can be easily integrated into existing applications and systems. Azure OpenAI services offer various deployment options, including REST APIs, SDKs for popular programming languages, and integration with Azure services like Azure Functions, Azure Logic Apps, and Azure Cognitive Services.

The pricing for OpenAI and Azure OpenAI services varies based on factors such as the type and volume of usage. OpenAI provides detailed pricing information on their website. Azure OpenAI services follow the Azure pricing model, which offers different pricing tiers and options for scalability and usage.

OpenAI and Azure OpenAI services may have certain usage limitations and restrictions. These can include rate limits on API calls, usage quotas, and guidelines for acceptable use. It is essential to review the specific terms and conditions provided by OpenAI and Azure for detailed information.

OpenAI provides various options for customization and fine-tuning of their models. For example, OpenAI's GPT-3 model can be fine-tuned on specific tasks and domains. However, the level of customization may vary depending on the specific model and service.

OpenAI and Azure prioritize data security and offer robust security measures. They implement industry-standard security practices to protect data and models, including encryption, access controls, and compliance with data protection regulations. It is recommended to review the security documentation provided by OpenAI and Azure for specific details.

Compliance requirements may vary depending on the industry and specific use case. OpenAI and Azure have implemented measures to comply with various regulations and standards. Azure, in particular, offers a wide range of compliance certifications and adheres to strict data protection and privacy regulations.

OpenAI and Azure provide highly scalable and reliable services. They leverage the power of cloud infrastructure to handle varying workloads and offer built-in features for scalability, load balancing, and fault tolerance. Azure specifically provides robust SLAs and guarantees high availability for their services.

OpenAI and Azure provide comprehensive documentation, guides, tutorials, and sample code to assist developers and administrators in using their services. They also offer support channels such as forums, community groups, and technical support options to address any queries or issues.

OpenAI and Azure provide comprehensive documentation, guides, tutorials, and sample code to assist developers and administrators in using their services. They also offer support channels such as forums, community groups, and technical support options to address any queries or issues.

Explore and Deploy Our Tested OpenAI-Powered Applications for Your Industry.

Unlock the potential of our OpenAI-powered applications, meticulously tested on diverse datasets across industries. Ready for deployment, these solutions are tailored to excel in your specific industry use case. Request a demo now and witness firsthand the transformative performance of our AI applications for your business.

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