What is Artificial Intelligence? Definition, Examples, and limitations

Artificial intelligence (AI) is how computers mimic human abilities such as language, reasoning, and wisdom. How can we put this on easy terms? Let me put this in simplified terms so that the common reader can understand.

For a better definition and types and uses of AI, Please check What is artificial intelligence? Definition,Types and uses of AI

Automated systems are fed with particular algorithms. Once the command is given, the machines mimic human actions. AI aims to learn, think, and perceive. They are utilized in a variety of financial industries. Strong AIs carry out sophisticated and human-like activities, while weak AIs focus on a single task at a time. The general public is under the impression that artificial intelligence (AI) will soon replace humans with more complicated machines. There is little doubt that they will reshape society at an unprecedented rate.

However, You also learn about the Advantages and disadvantages of AI | Is Artificial intelligence helpful?

Supply Chain means collecting raw goods, making products from the raw goods, and then finally flying off the products from the mills to nearby cities. The knitted web is quite complex. 

How to incorporate a supply chain with artificial intelligence? 

Let us look at the benefits: 

  1. The inventory management becomes impeccable. The margin for error Is less. Accurate management ensures the products go in and out of the buying stations quite smoothly. 
  2. Warehouse efficiency. 
  3. Safety. 
  4. Operation costs are cut to a minimum. 
  5. The delivery goes just in time. 

However, there are some limitations: 

The system complexity: 

The primary business capital is not that huge. Artificial intelligence requires high voltage current units and power systems. The cost is skyrocketing in these technological areas. The operators need specialized hardware. The AI special hardware costs are also painful to the investors. 

The Scalability factor: 

Since it is scalable, the investors need to know how many initial start-up users are registered. Most AIs are unique; supply chain investors need to have in-depth chats with their AI service providers. 

The training cost: 

Since it is new, not all people are equipped with it. The cost and hard drilling sessions are sore to the eyes of the supply chain investors. Investors and AI providers need to develop sustainable training solutions to cut costs.  

The operational costs: 

Machines like AI are complicated and well-calibrated. It requires regular updates to its software and hardware. To run a business smoothly, one requires millions or perhaps trillions of volts of power. Machines that drive increasing prices must be removed or replaced by manufacturers. They have to work together to get the job done.

If you want to know about Business intelligence , please check What is business intelligence ? BI definition , Importance and Example

Sixty-one percent of corporate executives report lower costs, according to Mckinsey. 53% of those polled say that their costs have gone down by introducing AI in the United States. Supply chain management is impacted by many factors, including planning and scheduling, forecasting, expenditure analytics, logistics network optimization, fleet management efficiency, and more!

According to Gartner, using the Internet of Things (IIoT), supply chains will be able to provide clients with more personalized and efficient services.

The old ways of doing business will soon be out of date. Artificial intelligence will provide new generational support for businesses. The process would be significantly more efficient than it currently is. The conclusion is that the output should now be result-driven. It ties with business people from the community, the margins, and the city.

Gather more on What is competitive intelligence and Why it is important for firms?

Scroll to top