Thought Leadership

Unlocking Hidden Potential: How Irrelevant Data Can Boost AI Performance

Written by: Ryan Monsurate, Co-founder, CTO

Introduction

In today's data-driven world, businesses are increasingly turning to artificial intelligence (AI) to solve complex problems and gain a competitive edge. But what happens when the data you have isn't perfect? What if some of your information is "noisy" or even seemingly irrelevant to the AI task at hand? At Farpoint, we're constantly exploring cutting-edge AI research to help our clients overcome these challenges. Today, we're excited to share a breakthrough that could significantly improve the accuracy of your AI models. It turns out that in some cases, even information that seems completely unrelated can still enhance the capabilities of your business's AI.

The Challenge: Real-World Data Imperfections

Imagine you're training an AI model to detect defective products on a manufacturing line. You diligently gather images of both good and bad products. You may not have millions of images, and so we could try to find external datasets to augment your data. But what if some of the images show unrelated objects like tools, packaging materials, or even shadows on the line? Traditional AI methods might struggle with these "irrelevant" images. The model can get confused by data that's not directly tied to the task. Or, the model would have to be painstakingly trained to remove that noise. What if instead, the model can be trained to learn about those seemingly irrelevant images and use them to boost the signal of the images that are relevant?

A Breakthrough Approach: Transmuting Data Lead Into Gold

Recent research shows us that these seemingly irrelevant images can, in fact, be valuable, by improving the performance of AI models. This means your AI models can be more accurate, require less training data, and be more reliable in the real-world scenarios.

How is this possible? It's akin to learning more about a specific type of fruit by looking at the shapes, colors, and textures of all the other fruit in the world and the surrounding context it is shown in. The information on unrelated fruits can help you learn more about that one type of fruit that you are trying to understand. This research shows us that AI can also use these unrelated examples to get a better picture about the core information it is seeking. 

Real World Applications

Where could this approach benefit your business?

  • Quality Control: In manufacturing, an AI model to detect defective parts might benefit from images of machinery, lighting, and other factors around the manufacturing line. This helps the model learn what "normal" looks like and thus make more accurate decisions.
  • Financial Analysis: An AI model predicting market trends could use information from seemingly unrelated news events. This allows the AI to better understand broader market dynamics and improve its forecasts.
  • Healthcare: In medical diagnostics, an AI model dtecting a certain kind of disease could use data from patients that do not have that disease, or related diseases to identify and filter out false signals that are not relevant to the AI task.
  • Cybersecurity: An AI that is designed to detect malicious activity could use data about use behaviour, and use that as a signal for anomaly detection.
  • Logistics: An AI designed for route optimization could use data from other, unrelated routes or even routes for other types of cargo, and learn the relevant features that impact travel time and fuel consumption.

Farpoint Helps Harness the Power of AI

At Farpoint, we're dedicated to keeping our clients at the forefront of AI innovation. We understand that staying competitive requires leveraging cutting-edge techniques. The approach highlighted above demonstrates that we are aware of how to apply complex AI research in real-world business solutions. By applying this approach, we can improve your AI models' accuracy and reliability in the face of noisy or even seemingly irrelevant data. 

By using this and similar methods, our teams were able to improve the accuracy of state-of-the-art models from 69% to 82% in certain scenarios.*

Get Involved

Don't let imperfect data hinder your AI initiatives. By leveraging breakthroughs like these, we can unlock hidden potential within your data and significantly improve the performance of your AI models. Contact us today to learn more about how Farpoint can help your business harness the power of the latest AI innovations.

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