TRAIDA
AI & Data solutions
In this sphere, you will find best practices for building your minimum viable technical architecture to scale AI. You will need to clarify your data management systems, likely using knowledge graph technology, and possibly a NoCode database depending on the complexity of your business. To analyze needs and conduct a phased transformation, we have defined the TRAIDA framework (Transformative AI and Data Solutions) which contains essential knowledge both technically and in terms of governance.
Download the TRAIDA analysis Excel sheet
Do you have an AI project to evaluate or an AI skills assessment to formalize? TRAIDA can help you.
With the TRAIDA analysis Excel sheet, you can explore the areas of the TRAIDA framework using four fundamental questions for each of the TRAIDA business (red), governance (green), and technical (blue) cards.
- Download the PDF version for an overview.
- Download the Excel version to conduct a test analysis.
Like all our publications, it is under a Creative Commons license, so you can use it freely, including in your commercial activities.
Listen to the TRAIDA podcast in 20 minutes
This podcast was automatically generated using Google’s NoteBookLM, powered by Gemini. It is based on the description of the complete set of cards from the TRAIDA framework and will provide you with a good introduction to the approach. We found the result sufficiently interesting to publish it directly as an additional aid for understanding TRAIDA.
Use the TRAIDA GPT AI assistant for free
Access to the TRAIDA GPT.
User instructions: You upload the description of your project (your PDF files) and the TRAIDA GPT will proceed with a comparative analysis using the TRAIDA framework. When uploading, you write, “give me the mapping for [your project name].” You can also ask the TRAIDA GPT any questions about AI and data solutions, and they will respond while taking into account the knowledge available in the TRAIDA framework.
Knowledge base used for training the TRAIDA GPT AI assistant: TRAIDA all cards (PDFs) and the Instruction prompt (PDF).
Download the TRAIDA cards
Click here or on the image to download the PDF of the global map. The TRAIDA framework consists of 20 cards and 65 topics to address AI and the associated data solutions. Here you will find 9 technical cards (30 topics), 6 governance cards (17 topics) and 5+ business cards (18 topics). Each TRAIDA card is accompanied by a concise documentation that explains its importance in improving data quality and the use of AI on a large scale within the company. With its 20 cards and 65 topics, it offers a comprehensive view of enterprise architecture approached through the lens of data management and AI.
Here is the introductory slide deck for the TRAIDA cards. You can freely use it in your projects, courses, and commercial offers. By doing so, you contribute to the alignment of IT and Business for AI, thanks to the blue, red, and green cards!
Download HERE (PDF) (last update: November 04, 2024)
TRAIDA relies on a semantic platform architecture
Click HERE or on the image to download the PDF of the semantic platform architecture.
TRAIDA is based on an architectural vision that places a semantic platform at the center of the business system, essential for complete data quality control and scaling up AI.
TRAIDA white paper
Reconciling expertise in data governance, Enterprise Architecture (EA), and Artificial Intelligence represents a considerable challenge. This is the theme of our white paper, which proposes a comprehensive approach for the large-scale deployment of AI in companies.
Download the TRAIDA Masterclass
The slides from the TRAIDA Masterclass presentation are available for free download HERE (+180 slides). Feel free to contact us if you need to organize this masterclass at your company. Thank you!
Last update: November 04, 2024
Watch this short TRAIDA introduction
You can download the deck of this video here (PDF).
TRAIDA introduces the concept of a MVS architecture
MAINTAIN CONTROL OF YOUR IT + AI THROUGH THE MINIMUM VIABLE SCALE (MVS) ARCHITECTURE
Rather than forcing the definition of technical and business EA targets, the company first compares itself to a set of essential topics for large-scale deployment of AI and associated data solutions.
The goal is not to try to describe targets on a wide range of topics, but to limit the analysis to AI and data management. We start from the principle that the minimally viable technical architecture is based on these two devices: AI and data management.
It is important to emphasize the significance of this concept of “minimally viable architecture”, also qualified as “Minimum Viable Scale – MVS”, which aptly illustrates the idea of progressively scaling the architecture.
Download the executive summary (PDF): In ENGLISH and FRENCH.
TRAIDA deck
Transformative AI and data solutions demand a robust semantic management layer for scalable deployment. Within this slide deck, we aim to demonstrate the operation of such integration, elucidating key concepts including the digital twin, human-in-the-loop, AI governance, AI-powered governance (often dubbed the ‘second brain’), and semantic management. Unsurprisingly, at the core of this architecture lies a knowledge graph repository, essential for managing ontologies and facilitating the accrual of knowledge.
Vision (#1)
Slide deck with 61 slides, creative commons license, open-source, PDF 5,529Kb
- The context of our approach
- A vision for transformative AI and data solutions
- Alignment of our vision with the market
- The TRAIDA framework
- The final report deliverable
- Evaluation process
AI impacts (#2)
Slide deck with 104 slides, creative commons license, open-source, PDF 8,482Kb
- Impacts on the business
- Impacts on the IT system
- Integration with Enterprise Governance (EG)
- Integration with Enterprise Architecture (EA)
- Post-consultation services
- AI software list
Enterprise data architecture with TRAIDA
As a seasoned Data Management expert with an extensive background in non-schema oriented databases and semantic modeling, I view the knowledge graph repository as a contemporary reimagining of the traditional MDM concept—more versatile and semantically aligned with the business systems of any organization. It goes beyond the traditional scope of merely handling master and reference data, encompassing a wide array of data types, processes, and critical rules.
Watch this video to find out more about the various database schema styles: strict-schema, meta-schema, dynamic schema, schema-less or document-schema, graph schema, and schema by convention.
