In some industries, AI is able to automate business intelligence and analytics processes by providing a comprehensive end-to-end solution.
In other countries, computer vision is used to map and navigate in the field, contributing to the development of intelligent, autonomous cars that learn to drive like humans. Below are some examples of using AI to improve efficiency:
Banking and Finance – fraud detection
Many banks use different applications of artificial intelligence to detect fraudulent activities. The artificial intelligence software receives a very large sample of data including fraudulent and non-fraudulent purchases and is trained to determine if a transaction is valid based on the data. Over time, the software becomes extremely adept at detecting fraudulent transactions based on what it has learned previously.
Retail – customer support online
Many websites now have an “online chat” feature where you can talk to a customer service representative or representative. In most cases, it is an automated form of AI that starts these conversations.
Because these discussion robots are able to understand natural language, that is, human conversations, they can easily help customers discover what they need to know, extract information from the website, and direct them. To the web page or the appropriate person.
As cyber attacks multiply and more sophisticated tools are used to violate cyber defences, human operators are not enough.
The largest companies in the world are investing heavily in cyber security to protect their data. Real-time threat detection, mitigation and, ideally, prevention, are what companies need – and what AI can do.
Using machine-learning algorithms and powering large amounts of data, IT and security experts can teach the AI solution to monitor behavior, detect anomalies, adapt and respond to threats and alerts.
Artificial intelligence has quickly become a key component of a company’s cyber security infrastructure, providing a robust and sophisticated multi-layered security strategy.
Preparation for the integration of artificial intelligence-based solutions in several departments
Organizations that respond quickly to artificial intelligence opportunities will have the advantage in the future landscape.
But, as AI evolves rapidly, the challenge is to ensure that the organization has the strategies and plans to support the capabilities of the AI as they become available.
Good technical infrastructure to support the implementation of AI. For many companies, the question is not whether, but rather when to adopt AD.
On this basis, it is necessary to monitor the development of AI technology and plan well in advance to adopt AI successfully.
AI Help to, HR (human resources)
Processing the CVs. AI can eliminate candidates who don’t meet the requirements. And it does it not by screening the CV, as most of the recruiters would do trying to go through hundreds of them, but by reading the entire documents and reducing the risk of accidental elimination of a good candidate.
Employee training the other task, artificial intelligence make easy for humans. AI can help you plan and coordinate training programs for your staff, adjusted to their position, experience, and the training budget.
In above article only few businesses lists, you can think of similar use cases of Artificial Intelligence in many other areas. As long as the business have data (about their products, resources, customers or employees) AI can help them, for example:
- Improve their return on investment
- Reduce churn
- Reduce employee retention or predict customer behavior.
So if you are the owner of either small level or big level business, don’t hesitate to adopt AI technology. After all, the future is occupied by AI.