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Getting Started with VRIFY AI

This guide will walk you through the key milestones in your journey working with VRIFY AI.

Updated over a month ago

Overview

This guide provides a step-by-step breakdown of the key milestones in your journey with VRIFY AI. While each project may vary slightly, most follow a similar structure to ensure the successful integration of AI insights and 3D visualizations into your final presentation decks.

The 5 Key Milestones:


Key Milestones Overview

Here’s an outline of the stages you’ll go through during your VRIFY AI project.

Milestone 1: Project Kick-Off

AI Technical Kick-Off

  • Your project officially begins with the AI Technical Kick-Off session. During this meeting, the VRIFY team will collaborate with you to define your project’s goals, scope, and expectations. We will ensure that all the necessary resources, access, and tools are set up to start the data transfer process.

Milestone 2: Data Aggregation

Data Transfer

  • After the AI Technical Kick-Off, we initiate the secure transfer of your data to our team for processing. At this stage, you’ll also have the opportunity to meet with a VRIFY Strategic Advisor, who will assist in incorporating your AI insights into 3D visualizations for your presentation deck. They can provide you with strategic advice on the narrative and structure of your deck.

Data Compilation

  • During this phase, our team compiles, cleans, and prepares your data for the upcoming steps. We ensure that your data is well-structured and ready for feature engineering, reaching out for any clarifications needed to maintain data integrity.

Data Review Meeting

  • This meeting ensures that your data has been compiled accurately and is aligned with your project objectives. Together, we will confirm that everything is in place for feature engineering.

Milestone 3: Feature Engineering

Feature Engineering

  • In this phase, we transform your raw data into meaningful features that will be utilized by AI models. These features are tailored to your specific mining or geological exploration project.

Milestone 4: Model Prediction

Prediction Iteration

  • Once feature engineering is complete, we enter the prediction iteration phase. Here, we work with you to generate mineralization predictions based on your data. Multiple iterations will be conducted, refining the models to improve accuracy and relevance to your project.

Milestone 5: Delivery

Delivery Meeting

  • In this meeting, we present the final predictive models and the insights they provide. We will guide you through the results, answer your questions, and discuss how these insights can be applied to your decision-making processes.

Deck Review

  • The final stage of the project. You will review the completed presentation deck, which includes both AI-driven insights and 3D visualizations. This polished product is designed for clear communication of your findings to stakeholders.


Still have questions?

Reach out to your dedicated VRIFY AI Contact or email Support@VRIFY.com for more information.

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