Here are a few advantages that Ai brings to the table for Industry 4.0. These can change the way industries leverage Ai in the days to come. https://arsr.tech/4-advantages-artificial-intelligence-can-offer-industry-4-0/

1. 4 Advantages Artificial
Intelligence Can Offer
Industry 4.0
By- ARSR Tech

3. Introduction
• Although some may regard technology solutions such as
machine learning, analytics and big data to be overused
buzzwords, it’s essential to note that these terms have
brought about significant changes in the technologies that we
are using today. These terms are not mere buzzwords
anymore!
• These technological advancements cover a wide range of
day-to-day enterprise operations, from improving our
interactions with information and different machines
seamless to assisting businesses in better understanding
their customers’ connections, habits, locations, and motives.
• When it comes to recent breakthroughs in the industrial
revolution, Artificial intelligence (AI) is a technology solution
that has taken center stage

4. • Companies are already leveraging it to increase product
quality, productivity, and cut operational costs, and it
has resulted in collaborative interactions between
humans and robots.
• One prime example of Ai use case is the smart factory:
• Hyper-connected production processes in smart
factories rely on a variety of machines that
communicate with one another, with AI automation
systems collecting and analyzing different types of data,
including pictures, standardized coded information, and
categorized fixed field text.
• And now that we’ve entered a new decade, it’s no
surprise that we may expect even more innovations in
AI-driven processes for manufacturing companies that
are willing to go the Industry 4.0 way.

5. What does Ai bring to the table?
• Industry 4.0 shows great promise to be a significant economic
driver, with estimates ranging from $500 billion to $1.5 trillion in
value added to the global economy by 2022.
• While many businesses have begun to employ AI to improve their
productivity, there are still vast amounts of data that have yet to be
digitized or arranged in a way that AI can understand.
• Manufacturing warehouses, for example, rely heavily on
unstructured data in their day-to-day operations, such as
handwritten documentation and inventory checklists.
• Intelligent automation solutions based on Ai and fractal science will
play a key role in redefining and transforming modern
manufacturing practices.
• Manufacturers will be able to reduce production downtime with
these advancements, while also improving the overall operating
efficiency of their manufacturing lines.

6. How Can Artificial Intelligence
Improve Industry 4.0?
1. Computer Vision – Intelligent Vision for the
Future
2. Smart Factories – Optimized Manufacturing
Processes
3. Predictive Maintenance – Minimizing
Downtimes
4. Cyber-physical Systems –A New
Manufacturing Environment!

7. 1. Computer Vision – Intelligent
Vision for the Future
• Computer vision is a special branch of computer science that
focuses on facilitating computers to detect and interpret
objects in photos and videos in the same manner that people
do.
• Computer vision is regarded as a fascinating branch of Ai that
is increasingly gaining prominence across a myriad of
industries.
• The amount of data created today, which is subsequently
utilized to train and improve computer vision, is one of the key
components (drivers) behind the field’s progress.
• AI has made significant strides in recent years, surpassing
humans in several tasks related to object detection and
classification, thanks to breakthroughs in Ai, innovations in
deep learning and artificial neural networks.

8. 2. Smart Factories – Optimized
Manufacturing Processes
• Smart factories that are applying Industry 4.0 are leveraging Ai in
their production processes due to its ability to identify and
process enormous amounts of data with ease.
• Manufacturers who have completed a digital transition and are able
to manage and use their data sets effectively are using Ai/ML to:
• Boost quality control
• Improve standardization
• Enhance maintenance by creating predictive evaluations of
equipment operation
• Optimize factory lines.
• While the advantages of AI in manufacturing processes are
numerous, it’s crucial to note that manufacturing plants should
put an AI development strategy in place and also get a deep
understanding of which automation platform can they use.

9. 3. Predictive Maintenance –
Minimizing Downtimes
• When it comes to predictive maintenance, various types of
information are collected in real-time to track the condition of the
equipment.
• The idea is to uncover trends that can assist in the forecast and
potentially prevent failures. AI systems are increasingly being
leveraged to attain this goal with the help of innovative learning
algorithms.
• With the help of Ai and automated predictive maintenance,
Manufacturing plants can become more strategic when it comes to:
• Analyzing the state of equipment and
• Anticipating when maintenance should be conducted.
• Indeed, using ML-based solutions can result in increased system
availability, significant cost savings and better predictability leading
to reduced downtimes and improved productivity.

10. 4. Cyber-physical Systems –A New
Manufacturing Environment!
• Cyber-physical systems (CPS) integrate software
into the physical world which is then leveraged in a
variety of applications including smart grids, smart
manufacturing and even robots!
• New advancements in Internet-based
technologies and applications have allowed
industries to use the cyber workplace to conduct
efficient and successful everyday collaborations
from any location in the world, resulting in a fully
dispersed production environment.
• These are a few ways through which Artificial
Intelligence can improve Industry 4.0 strategies for
various industries and companies.

11. Thank You So Much
For Reading