Lower Cost of Adoption Makes ML/AI More Accessible 

In the late 19th century, science fiction writer L. Frank Baum introduced the concept of an artificially intelligent robot to the world. It was the Tin Man in The Wonderful Wizard of Oz. Today, artificial intelligence (AI) is no longer fiction, it’s at the forefront of production line technologies. Advanced AI and machine learning (ML) solutions are continuously being developed to help manufacturers reduce production costs, optimize throughput, improve product quality, and more. 

With the dawn of the 4th industrial revolution, Industry 4.0, ML/AI technologies have become more accessible and affordable to precision manufacturers. Gone are the days of overly technical models that required the collection of vast amounts of very specific data, involving multiple sensors and the services of data scientists at great expense. Today, ML/AI solutions have a lower overall adoption cost and are easier to implement.  

Here are 5 more good reasons to incorporate a modern ML/AI solution into your precision manufacturing line: 

1. Optimizes data collection

One of the biggest barriers to the adoption of traditional ML/AI solutions was the enormous amount of data that was needed to get any real results. An efficient ML/AI solution focuses on specific data requirements to drive your ML models and grows with your maturing data strategy. It should also be able to maximize your realtime data and the data that you’ve already collected, adapt to your growing data inputs, and adjust to your ML model output requirements.  

2. Delivers real-time data

Traditional ML models don’t work in real time and require extremely specific data to be useful. A comprehensive ML/AI solution will collect and process live and historical information from your production line and deliver real-time data to you in an understandable (“explainable” / human-friendly) format. This live information enables you to configure the data to design your own production solutions, without the help of an expensive data scientist. 

3. Adapts to changing needs

Traditionally, when manufacturing lines were adjusted to accommodate modifications to product specifications or equipment was added, replaced, or retooled to handle changes in production output, a data scientist team would have been called in to make the changes needed. Modern ML/AI solutions are highly configurable and can easily be adapted to meet your changing production line needs and evolving data management strategies. 

4. Simplifies data science

No matter how much data you collect, data by itself is not that useful. An intelligent ML/AI solution will use advanced analytics to give meaning to the data you have collected. It will aggregate the results to deliver a real-time view of your production and quality data and provide actionable insights that enable you to develop data-driven action plans. 

5. Maximizes the human-AI collective

Modern ML/AI solutions aren’t replacing humans, but maximizing the human-AI collective. A successful AI solution will supply your line engineers with the right information in the right amount so that they can digest it in seconds and make appropriate decisions quickly and easily. 

Acerta makes ML/AI more accessible

Our human-friendly ML/AI solution for precision manufacturers, LinePulse, is designed to grow with you as your data management strategy grows, with a lower overall adoption cost. Other benefits, include:  

  • Evolves as your production line changes 
  • Simplifies configurations for line engineers  
  • Eliminates the time, cost, and complexity of one-off ML models 
  • Provides easy-to-understand data dynamically in seconds  
  • Displays timely information at-a-glance on the manufacturing floor 

Ready to get started?

Acerta’s LinePulse solution is forged from industrial experience and driven by data science. By enhancing your data understanding across your manufacturing line it enables you to turn complex product data into actionable insights that optimize production, improve product quality, and boost the bottom line. Want to learn more? Get in touch.   

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