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 PDF for each TRAIDA card below. The content is free to use (open source, creative commons). You are free to utilize it for your needs, including in commercial activities, provided that you please cite the original source engage-meta.com.

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)

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.

The white paper is available in both ENGLISH and FRENCH.

Download the TRAIDA Masterclass

The slides from the TRAIDA Masterclass presentation are available for free download HERE (+165 slides, PDF, 25.20 MB). Feel free to contact us if you need to organize this masterclass at your company. Thank you!

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.