Artificial intelligence (AI) is transforming the manufacturing industry in pretty dramatic ways, from driving efficiencies, increasing defect detection rates, and reducing scrap waste to improving sales forecasts and even giving company leaders the information they need to renew business models.

1. How Artificial Intelligence use to manufacturing companies
Image Source: factory worx
Artificial intelligence (AI) is transforming the manufacturing industry in pretty dramatic
ways, from driving efficiencies, increasing defect detection rates, and reducing scrap
waste to improving sales forecasts and even giving company leaders the information
they need to renew business models.
Manufacturing can involve some very inefficient processes, which tend to require
continuous refinement and tuning. But that's precisely why we are seeing such a
dramatic increase in the number of machine learning and artificial intelligence
applications in manufacturing.
Impact of AI in Manufacturing companies:
Today, in the manufacturing sector we face a shortage of 20,000 graduate engineers
each year, but there are fears that the rise of artificial intelligence and automation in
the form of intelligent robots will cause catastrophic job losses . How will AI and its
development with automation affect manufacturing organizations? In the digital world
we live in, every day we hear more about technological advances that will impact our
lives in the future. Nothing but Artificial Intelligence (AI) that supports, complements
or, as some believe, replaces humans in the workforce.

2. The impact for the Ai in the Manufacturing sector is expected to be one of the
largest along with consumer-oriented sectors. With AI providing robots with a higher
degree of learning ability and sensitivity when it comes to touching, robots will be
able to take over more assembly and motion-dependent activities in the
manufacturing plant. For example, BMW's autonomous intelligent transport robot
travels around the manufacturing plant sending communications about any critical
situation it observes. The consent within the manufacturing industry appears to be
that the result of its workforce could put millions of persons out of work.
Some examples of AI in manufacturing:
Image Source: callminer
The British company Rolls Royce is not only a luxury car manufacturer, but also
provides maintenance services for the airlines that use its products. The company
has implemented Microsoft Cortana Intelligence Suite and Azure to analyze this
amount of data. Solutions can model data at scale and identify and flag anomalies.
The process helps clients plan for the future.
Korean company LG CNS is renowned for its cloud-based smart factory service,
which helps manufacturers automate their Manufacturing Process with AI and
monitor production efficiency with the push of a button. The company has opted for
Microsoft Azure DocumentDB and HDInsight to collect production histories and uses
Azure Machine Learning which can project emerging defects and ensure efficient
production and management.

3. Automated machine learning used by multiple steel fabricators to reduce "mill scale"
that causes a 3% loss of steel. The AI solution helps reduce mill scale by 15% and
saves millions of dollars.
The German company Siemens has modernised its gas turbines with hundreds of
sensors that transmit data to an AI-enabled data processing solution, which adjusts
the fuel valves to maintain the lowest possible emission level.
AI leads the way for Smart Manufacturing:
Image Source: softwebsolutions
Predictive Maintenance: The rapid rise of artificial intelligence and associated
technologies are bringing digital twin technology to the manufacturing sector. AI has
the ability to analyze the data that sensors collect from multiple sources. This data is
also used to detect anomalies and identify situations that can lead to failures.
Various companies are using various artificial intelligence technologies to reduce
equipment downtime.
Impeccable quality control: The manufacturing sector is experiencing quality
assurance based on AI and ML as a cutting edge new line of research. Most
manufacturing companies have started using the computer and sensor based

4. network to eliminate poor quality products. However, the AI and ML-based system
offers continuous quality control over the entire manufacturing process.
Recommended: AI Use Cases / Applications In Manufacturing Industry 2020
Evolution, not revolution:
AI has been around in the manufacturing industry for decades, so these
developments are an evolution, not a revolution, for the manufacturing industry. If
you haven't thought about how AI could affect your business or even your
competitors, now is the time to explore it.
Increased industrial connectivity, more sensors, powerful analytics, and robots (to
name a few) pose different challenges. Emerton Data's Aime Lachapelle says that
85 percent of the companies surveyed aim to implement AI in their production
processes. While many manufacturers have aspirations to implement artificial
intelligence in operations, extensive research and training is needed beforehand.
Transformation of AI in manufacturing Industry:
Image Source: manufacturing today india
Manufacturers face increasing pressure to reduce costs while continuing to offer
high-quality products and services. Leading manufacturing companies are taking an
enterprising approach to streamline operations. Companies that are making
extensive use of artificial intelligence are reaping the benefits of increased efficiency,
decreased downtime, and increased customer satisfaction.

5. manufacturers with large assets to apply AI:
For decades, companies have “digitized” their plants with supervisory and distributed
control systems and, in some cases, advanced process controls. While this has
vastly improved visualizations for operators, most companies with large assets have
not kept up with the latest advances in analytics and decision support solutions that
apply AI.
For example, today's small teams of control room operators are expected to
manually monitor a multitude of signals on numerous screens and adjust settings as
necessary. At the same time, they must troubleshoot and run tests and trials, to
name just a few of the tasks that push the limits of their human capabilities. As a
result, many operators take shortcuts and prioritize urgent activities that do not
necessarily add value.
Cost of AI In manufacturing Companies:
However, how much does Artificial Intelligence Cost? It's a question that
businesses of all sizes (from businesses to startups) ask themselves. Good news,
this AI pricing guide covers all your questions about the cost of artificial intelligence,
from average fees to the price factors that determine what you pay.
In 2020, businesses can pay anywhere from $ 0 to more than $ 300,000 for artificial
intelligence software. This software can range from a solution provided by a third
party to a custom platform developed by a team of internal or independent data
scientists and the cost of AI in manufacturing depends on your needs and Artificial
Intelligence App Development Company.
If your business uses third-party AI software, such as a pre-built chatbot, expect to
pay up to $ 40,000 per year. In some cases, your business can find free chatbot
applications that meet its needs, although they mostly work for business operations.
By comparison, custom AI solutions cost between $ 6,000 and more than $ 300,000.
This price includes development and implementation. Ongoing AI services, such as
consulting, generally cost less and are dependent on the consultant's hourly rate.
Most AI consultants charge between $ 200 and $ 350 per hour.