lama delivers transparent, explainable insight, empowering business decisions with clear, data-backed reasoning.
Our solution provides actionable intelligence that’s easy to understand, ensuring businesses can make confident, informed decisions.
lama delivers transparent, explainable insight, empowering business decisions with clear, data-backed reasoning.
Our solution provides actionable intelligence that’s easy to understand, ensuring businesses can make confident, informed decisions.
“You can not manage, what you can not see, analyze & quiz”
AI powered, Knowledge Graph based enterprise solution with actionable intelligence and insight from lama.
Integration of structured and unstructured data allows the framework to generate richer, context-aware insights.
Combining GenAI, Knowledge Graphs, and Enterprise Retrieval-Augmented Generation (RAG) capabilities makes it scalable and adaptable to evolving enterprise data landscapes.
Using GenAI alongside Contextual Knowledge Graphs, the framework ensures a high level of accuracy in its outputs. AI and visualization enhance visibility and drive alignment with strategic business goals.
lama combines GenAI, Knowledge Graphs, and Enterprise Retrieval-Augmented Generation (RAG), to synthesize structured and unstructured data into meaningful, contextual insights. This allows organizations to make more informed decisions faster, improving strategic outcomes.
project.lama: an AI powered project management & insight solution from lama.
Actionable insights that enhances decision-making, optimizes resource allocation, and drives overall project success.
Project.lama is essential for business leaders, offering clear insights beyond standard project tracking. With a few taps, you can access project status, milestones, risks, sprint progress, defect rates, and overall health. Its real-time chatbot allows for quick project queries, and custom insights let you create personalized data views for tailored analysis.
AI powered project management solution from lama.
65% of IT projects fail because they lack business alignment and visibility. Our team is focused on solving this challenge of wasted resources and unrealized benefits. With our core team of
Unlock the full potential of your project management data with project.lama to gain powerful health assessment, risk, and execution insights that can transform how you manage and optimize projects.
This section addresses common concepts and questions related to lama solutions, features, benefits, and best practices.
Every year, approximately $48 trillion are invested in projects. Yet according to the Standish Group, only 35% of projects are considered successful.
55% of projects are misaligned and are stuck working in silos with limited visibility. This leads to IT project wasted resources and unrealized benefits.
Project Goal Alignment emphasizes the need for IT initiatives and projects to align with the overall business strategy and objectives, ensuring that technology investments support and drive the organization's goals.
A Knowledge Graph is a structured data model that represents information as a network of entities (nodes) and their relationships (edges). Entities can be things like people, organizations, products, or concepts, and the relationships between them capture how they are connected in the real world. Knowledge graphs are designed to organize and represent knowledge in a way that is both machine-readable and semantically rich, allowing AI systems to better understand, process, and reason about information.
Structured Data: Data that is organized in a defined and consistent format, often stored in databases, tables, or spreadsheets. It follows a specific schema, with clearly defined fields and relationships between entities. Unstructured Data: Data that doesn’t follow a specific structure or predefined format, often in its raw or natural form. It’s more complex and harder to organize but contains valuable insights, often in the form of text, images, or other media.
GraphRAG is an advanced variation of Retrieval-Augmented Generation (RAG) that incorporates graph-based structures into the retrieval process. In this approach, the retrieval step leverages knowledge graphs—structured data representations that map relationships between entities, such as people, objects, or concepts. By integrating knowledge graphs with RAG, GraphRAG improves the relevance and precision of the retrieved information, especially for tasks requiring understanding of complex relationships.
Get in touch.
+1 (916) 800-3303
info@lamainsight.com
600 Coolidge Dr, Folsom, CA 95630