The AI-Driven Workflow
Data preparation is perhaps the most critical step in the AI workflow: Projects are more likely to fail without robust and accurate data as input to train a model.
To train a model, we begin with cleaning, labeling, and gathering as much data as we can. Our engineers focus on the input data: preprocessing and ensuring correct labeling of the data being fed into a model to ensure that the model can understand the data.
This surfeit of information is necessary for accurate AI modeling, but the sheer volume can make the data cleaning and labeling process even more time-intensive than usual. We use automatic labeling and integration to develop clean, quickly labeled data for input into machine learning models to streamline that process, providing more good insights. The process is scalable and gives users the flexibility to use their domain expertise.
Once the data is clean and properly labeled, it`s time to move on to the workflow`s modeling stage, where data is used as input, and the model learns from that data. A successful modeling stage aims to create a robust, accurate model that can make intelligent decisions based on the data. This is also where deep learning, machine learning, natural language processing, or a combination comes into the workflow as engineers decide the most accurate, robust algorithm and model.
Our AI models and solutions can be modified, combined, and deployed to transmute process efficiency, enhance the customer experience, revolutionize new business models, and improve sustainability. Our AI solutions and models can untangle the essential insights needed to tackle these challenges.
Testing and Simulation
Testing and simulation for accuracy are vital in validating that the AI model works correctly and everything works well together with other systems before deploying a model into the real world. Our engineering team ensures that the model will respond the way it is supposed to, no matter the situation, to build this level of accuracy and robustness before deployment. Our product and engineering team collaborate and work on the following below questions:
After confirming below all these questions, we deploy an end-to-end AI solution. With our artificial intelligence technology, whatever industry you work in, you can have confidence in a transparent, fair, and an accountable suite of AI services and solutions and their practical implementation.
- What is the overall accuracy of the model?
- Have we covered all the possible edge cases?
- Does the model perform as expected in different test cases?
We Infuse AI into your applications to make more precise predictions, automate decisions and processes, and optimize your team`s time. VisionX is one of the few vendors capable of deploying end-to-end AI solutions - leveraging our Data-Driven Transformation approach.
VisionX helps you build the proper foundation for your digital revolution. With so many possible applications for AI, it can be hard to know where to start, so we begin by consulting with you to co-create your AI deployment around your organizational goals.
Go beyond in your business with VisionX AI Products and Solutions!
Our human-centric approach to AI is keys first and expertise second. Instead of finding problems to solve with specific technology, we start by identifying the natural, human, and business challenges your organization faces. Using our co-creation methodology, we then design an AI solution matched to your specific needs that can be deployed in few months.
We draw on our broad range of capabilities to identify the most appropriate approach to help you overcome the challenges you face. At VisionX, we focus our AI products and services on creating solutions that deliver results.
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