Generative AI Services with Azure OpenAI
Kyndryl Inc.
From selecting the right use case to implementing a prototype into production, generative AI presents challenges at every stage as customers utilize generative AI to expand their business:
- Ethical factors in the implementation of responsible AI
- Business use case selection and prioritization
- Generative AI governance
- Data foundation necessary for generative AI effectiveness
- Skillset and staffing expertise
- Choice of foundation model, tuning, and optimization
- Managing through the financial ROI and cost of training, fine-tuning, and deploying large language models (LLM)
- AI-infused application integration and management
Kyndryl offers different types of generative AI services, from workshops to explore and define possibilities to creating rapid prototypes and implementing and managing LLMOps solutions.
- Kyndryl’s advisory services include a discovery workshop that employs design thinking to identify areas and processes that could be enhanced through generative AI.
- Kyndryl’s rapid prototyping service focuses on demonstrating the technical feasibility and business value of a chosen use case using generative AI that can be taken to production. With the implemented prototype, we provide documentation of features, proof of concept architecture, solution design, code, and success criteria measurement.
- Our services offer comprehensive operational management of LLMs, encompassing LLMOps design and implementation, development of generative AI applications, and the implementation of responsible AI practices, security, and privacy measures. Additionally, we provide LLMOps managed services to ensure seamless integration and maintenance of these solutions.
Whether it’s the deployment of a voice assistant accelerator with Azure STT and Azure OpenAI or the creation of better document understanding using Azure AI Document Intelligence and Azure OpenAI, Kyndryl is skilled to leverage the following Azure Cloud Native services to deliver customer engagements: Azure OpenAI, Microsoft Fabric, Azure Synapse, Azure Data Factory, and Azure Purview. We can assist you by leveraging:
Azure Cognitive Services and Azure OpenAI to retrieve contextual information and perform natural language queries on unstructured data. Use cases can include:- Leveraging a knowledge base to more effectively resolve incidents using natural language questions in IT support
- Creating customer chatbots to answer product information
- Enhancing employee experience by providing easy access to HR frequently asked questions
- Identifying sentiment based on call center transcripts
- Identifying key issues spoken in earnings calls and customer service transcripts and using it for downstream modeling
- Finding key information from large audio files
- Digitization of documents and querying for key information
- Summarizing key information and grouping data for reporting
- Summarizing handwritten notes for downstream analysis
More than three decades of managing complex IT operations and applying AI to advance our own delivery capabilities, Kyndryl can help integrate AI and generative AI in your environment at scale. We are continuing to innovate in this space with:
Kyndryl Bridge, our Integrated AIOps platform for advanced delivery– Integrating Artificial Intelligence at scale into mission-critical systems.Terms, conditions, duration, and pricing are custom to each engagement. Please contact us to discuss a solution to meet your business needs.
Kyndryl and Microsoft: Our Partnership
Solution Brief: Generative AI Services with Azure OpenAI