Artificial intelligence and machine learning are part of the computer science field. Both terms are correlated and most people often use them interchangeably. However, AI and machine learning are not the same and there are some key differences that I will discuss here. So, without further ado, let's go into the details to know the difference between AI and machine learning.
Artificial intelligence is a machine's ability to solve tasks that are commonly done by intelligent beings or humans. So, AI allows machines to execute tasks "smartly" by imitating human abilities. On the opposite hand, machine learning may be a subset of AI . It is the process of learning from data that is fed into the machine in the form of algorithms.
Artificial Intelligence and its Real-World Benefits
Artificial intelligence is the science of training computers and machines to perform tasks with human-like intelligence and reasoning skills. With AI in your computer system, you can speak in any accent or any language as long as there is data on the internet about it. AI will be able to pick it up and follow your commands.
We can see the application of this technology in a lot of the online platforms that we enjoy today, such as retail stores, healthcare, finance, fraud detection, weather updates, traffic information and much more. As a matter of fact, there is nothing that AI cannot do.
Role of Artificial Intelligence in Industrial Automation
To most of the people , AI (AI) probably means sci-fi movies with robots and computers performing inconceivable human tasks. While this is often partly true, what AI truly brings to the table is enabling machines to hold out intelligent tasks. As the challenges faced by global decision makers skyrocket, there's an urgent got to propel businesses and societies forward using the foremost modern technology. With the world changing at an unprecedented speed, businesses need to revamp and restructure how machines and humans work. And AI is helping meet those goals. According to Forrester, Cognitive technologies like robots, AI (AI), machine learning, and automation will replace 7% folks jobs by 2025.
The Changing Dynamics
The manufacturing sector is characterized by an environment filled with uncertainties and evolving dynamics. With ever growing market volatility, manufacturers need to constantly innovate, adapt and respond to changes in the quickest time, without hampering the quality of products, and at the least possible cost. The efficiency of a producing system closely depends on how well workplace processes answer changes. Critical workplace functions like production scheduling and maintenance need to be extremely responsiveness, and their integration is what is going to end in an optimal and robust deciding environment.
AI in Manufacturing
AI finds application during a host of industries including gaming, banking, retail, commercial, and government, and is slowly becoming pervasive within the manufacturing sector, facilitating the automation of industries. AI-driven machines are paving a neater path to the longer term by providing a number of advantages - offering new opportunities, improving production efficiencies, and bringing machine interaction closer to human interaction. The Fourth technological revolution is being driven by the automation of knowledge-based work; by creating new ways to automate tasks, we will restructure the way humans and machines live and interact, to make a far better , stronger digital economy.
AI helps overcome many inherent challenges that are plaguing the industry: from scarcity of experience , to decision complexity, integration issues, and knowledge overload. Adopting AI on the workplace enables businesses to completely transform their processes. Let's check out what AI helps the manufacturing sector to achieve:
- Process Automation: the utilization of AI and robots is especially appealing in industrial manufacturing as they revolutionize mass-production. Robots are capable of doing repetitive tasks, streamlining the production model, increasing capacity, building automation solutions eliminating human error and delivering higher levels of quality assurance.
- Round-the-clock Production: While humans are forced to figure in 3 shifts to make sure continuous production, robots can enable a n"art-19">Businesses can augment their production capabilities and meet the growing demand of consumers worldwide.
- Safer Working Conditions: With several mishaps happening on the workplace , a shift towards AI means fewer people are need to perform dangerous and overly laborious work. As robots replace humans and perform mundane and risky tasks, the amount of workplace casualties will plummet all across.
- New Opportunities for Humans: As AI takes over the shopfloor and automates boring and mundane human tasks, workers will get to specialise in complex and innovative tasks. While AI takes care of menial labour, humans can specialise in driving innovation and steering their business to newer heights.
- Reduced Operating Expenditure: Although bringing AI onto the shopfloor would require a huge capital investment, the ROI is substantially higher.
Benefits
Development in machine learning techniques, advances in sensors and therefore the growth of computing power have helped create a replacement generation of robots. AI helps enables machines to gather and extract knowledge, recognize patterns, and learn and adapt to new situations or environments through machine intelligence, learning and speech recognition. Using AI, manufacturers can:
• Make faster, data driven decisions
• Enable better production outcomes
• Improve process efficiency
• Lower operational costs
• Enable greater scalability
• And facilitate product innovation
Improving Business Outcomes
The key driver of the Fourth Industrial Revolution is the speed at which it is happening. With technology now at our fingertips, businesses (and even industries) can proportion with the blink of the attention , ultimately changing the way we live our daily lives (and in a fraction of the time). Using AI, industry leaders and technology pioneers can create the proper platforms and solutions, ultimately improving business outcomes and driving success in today's ever-growing digital economy.
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