Let's Talk - Vision & Prospect of AI/ML in Industry 4.0(Smart Factory)

The world has changed throughout the last year - (ideally) once in a blue moon pandemic assumed control over our lives and caused huge disturbance all over the planet. The manner in which we live, work, and associate with one another was totally flipped on its head. Fortunately, we are people that have the advantage of having the option to adjust on the fly - the equivalent can't be said for entire ventures, or even innovation.

Consider the Manufacturing industry for an instance. The universe of manufacturing?is generally very traditional, however somewhat recently, the beginning of Industry 4.0 is all about adapting the change. Presently, manufacturing firms are hoping to carry out Industry 4.0 drives that work on quality improvement and production yield. Include the points of the COVID-19 pandemic, the need to adapt is very clear. Between factories being shut down worldwide and new social distancing requirements, manufacturers have struggled to meet consumer expectations. As a result, the interest for new advancements - and artificial intelligence (AI) in particular – has surged.

Being part of a medical device manufacturing industry and knowing a bit about AI, I can say that AI/ML has an important role to nurture the proceedings of Industry 4.0. Manufacturing firms have understood the advantage of brilliant and independent frameworks, filled by information and profound learning - and a powerful breed of AI to improve quality inspection on the factory floor.

Brilliant utilization of innovation and AI can help develop and drive organizations. The world's most powerful organizations are assembling and investing massive sums of money in their turn of events using AI and ML. As indicated by researchers 40% of all the potential worth that can be made by examination today comes from AI and ML procedures. Information-driven strategies automate gaining knowledge from information, distinguishing pervasive fundamental examples, and making informed decisions. Ventures have been fruitful in the utilization of AI in three parts of the business: Operations, Productions & Post-Productions.

There are several use case and opportunities we have in manufacturing industry where we can implement AI/ML. AI can be strongly used to amplify growth in the following areas:

Improvement & Optimization

• Manufacturing based Assembly Line
• Customer Experience
• Inventory Management using Real Time Data Insights and Delivery Route Optimizations
• Minimize loss associated with delayed, damaged, or lost goods in transport
• Reduce errors and corrections during product development and improve the product’s quality?

Predictive Maintenance

• Asset Management
• Improving asset availability
• Detection of faults and defects
• Prevention of unplanned downtimes
• Computer vision-based inspection and monitoring

Industrial environments are currently setting the foundations for a new shift in the production and manufacturing processes, drawing away from static production chains, to a more flexible, individualized and efficient idea of production. The base of this revolution is?settled in the combination of hardware and software components, towards a more intelligent,?self-conscious, self configurative and self-optimize structure that can foresee?problems and launch preventive actions to minimize stopping?times during production; and?to understand the whole lifecycle of the production process in order to be ready to respond to new and continuously changing environments.?

This situation gives form to a broth of several ideas and technologies where artificial intelligence may have a perfect niche for its thrive and implementation in the industrial environment, since its applications can give answers to different questions and possibilities within each one of the main pillars in which industry 4.0 will be structured.