Artificial intelligence in manufacturing is not a future thing, it is a matter of today. We are accustomed to using AI in our daily lives with Apple’s Siri and Amazon’s Echo.

1. 6/30/2020 Artificial Intelligence Future and Present in Manufacturing Industry
https://medium.com/@pvvajradhar/artificial-intelligence-future-and-present-in-manufacturing-industry-960d35d0e840 1/2
Arti cial Intelligence Future and Present in
Manufacturing Industry
venkat vajradhar
Nov 28, 2019 · 2 min read
Artificial intelligence in manufacturing is not a future thing, it is a matter of today. We
are accustomed to using AI in our daily lives with Apple’s Siri and Amazon’s Echo.
AI has made tremendous progress with improved processing, algorithms, and a lot of
data help. With advanced machine learning, this data can be analyzed and gained
critical insights, helping future projects focus on consumer behavior.
Next-gen AI-powered industries have increased lean inventories, reduced production
glitches, cheaper labor costs, unplanned downtime, and production speeds. With AI in
manufacturing, we are basically talking about network-connected factories, where the
design team, the production line, and the quality control integrate well into a clever
machine and produce useful insights.

2. 6/30/2020 Artificial Intelligence Future and Present in Manufacturing Industry
https://medium.com/@pvvajradhar/artificial-intelligence-future-and-present-in-manufacturing-industry-960d35d0e840 2/2
To Know More: All about Automation in short E-book
Manufacturing automation involves a complex and detailed process of producing
material.
AI and automation are hot topics for future manufacturing companies. With Artificial
intelligence in manufacturing and automation-based technologies, the manufacturer
can improve efficiency, streamline processes, and even optimize operations. This can
reduce production costs by 20%, of which 70% comes from improved resource
productivity.
Transportation and logistics companies are at the forefront of the adoption of AI and
automation. While companies in developing countries are more enthusiastic about
these benefits, industrialized countries have a different view.
AI and automation change the value chain from end-to-end. This change will greatly
affect the operations of the company. These factors enhance existing levers that help
improve productivity.
The adoption of AI and manufacturing automation significantly alters the composition
of the workforce, e.g., heavily supporting all quality control work that requires
intensive human support.
Currently, factories automate processes and machinery through a sustainable
approach. In the future, AI and automation in the manufacturing industry will create
intelligent decision-making in unexpected situations. In the current scenario, robots
cannot select an item from an unordered component bin, but AI-supported robots can
do the same in the future.
Arti cial Intelligence Manufacturing Machine Learning
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