Overview:

Newmenta Consulting delivers tailored AI/ML services to empower organizations with smart technology solutions. Our services span the entire AI lifecycle, from conceptualization to deployment and management, ensuring that our clients can leverage AI for transformative outcomes effectively and ethically.

AI Industry Use Case Identification:

• We offer deep-dive analytics to identify viable AI use cases across industries, leveraging our expertise to pinpoint areas where AI can add the most value. Our clients receive a detailed AI Opportunity Map and a Use Case Catalog, which provide a curated list of potential AI applications specific to their industry, complete with an impact analysis and implementation strategy.

AI Tools & Infrastructure Assessment:

• Our service evaluates the necessary AI tools and infrastructure, ensuring that organizations have the robust capabilities required for AI deployment. Clients will be equipped with an AI Infrastructure Blueprint and a Sizing and Scalability Report that outlines the optimal mix of tools and technologies to support their AI initiatives, tailored to current and future needs.

AI/ML Lifecycle Management:

• Streamlining the AI/ML lifecycle, we focus on creating efficient and automated processes that support the continuous evolution of AI models. We deliver an AI/ML Lifecycle Workflow Solution, which includes automated pipelines for model training, deployment, and monitoring, ensuring ongoing efficiency and decision-making support.

AI/ML Model Selection, Assessment:

• This service begins with a comprehensive analysis of your business objectives, data readiness, and technological capabilities. We evaluate various models to identify those that align with your specific use cases, performance criteria, and strategic goals. Our rigorous assessment process scrutinizes model accuracy, efficiency, scalability, and ease of integration.
• Clients will be equipped with:
  • Integration and Implementation Guide: A step-by-step manual designed to facilitate the smooth adoption of the chosen AI/ML models into your existing systems and workflows.
  • Custom Training and Support Plan: Tailored training materials and support structures to ensure your team is fully equipped to manage and utilize the AI/ML models effectively.

RAG Use Cases and Knowledge Base Creation:

• Retrieval Augmented Generation (RAG) is a framework used in AI/ML models, it essentially helps the model to access and utilize a vast array of external data, improving the accuracy and relevance of its outputs.
• In simple terms, RAG is like giving an AI model a searchable library. When the model needs information to generate a response or make a decision, it can 'search' this library to find and use the most relevant data.
• This specialized service involves curating and constructing high-quality datasets tailored to the specific needs of your use cases. We meticulously prepare this data to be ingested into the chosen vector store, ensuring that the LLMs have access to the most relevant and current information. The service extends to include the selection of an optimal vector store that aligns with your technology stack, performance requirements, and scalability needs. Our process guarantees that the integration with LLMs is seamless and efficient, enhancing their generative capabilities with precision.
• Key Deliverables:
  • Customized Dataset Preparation: A comprehensive service that develops and refines datasets, ready for ingestion into the vector store, ensuring the highest quality and relevance of data for your AI/ML models.
  • RAG Integration Blueprint: Detailed documentation on integrating the Retrieval Augmented Generation (RAG) framework with your selected vector store, facilitating enhanced retrieval capabilities for your LLMs.
  • Knowledge Base Development Kit: Tools and guidelines for ongoing knowledge base creation and maintenance, ensuring your AI systems evolve with your industry and remain at the cutting edge of technology.