Brief Introduction to Artificial Intelligence

AI has been efficiently implemented in a number of fields and is yielding great results. Here are a few real-world implementations of AI that you can learn with artificial intelligence training in Hyderabad, such as:

Marketing

Marketing is a way to coat your sugar products to attract more customers. We, humans, are good at sugar coating, but what if an algorithm or bot is built solely for the purpose of marketing a brand or a company?

In the early 2000s, if we were looking in an online store to find a product without knowing its exact name, it would become a nightmare. But now, when we search for an item on an e-commerce store, we get all the possible results related to the article. It’s as if these search engines read our thoughts! In a few seconds, we get a list of all the relevant elements. An example of this is to find the right movies on Netflix.

Banking

Many banks have already adopted AI-based systems to provide customer support, credit card anomalies and credit card fraud. HDFC Bank is one example.

HDFC Bank has developed an AI-based chatbots, called EVA (Electronic Virtual Assistant), and built by Sense forth AI Research, based in Bangalore.

Since its launch, Eva has handled more than 3 million customer queries, interacted with more than half a million unique users, and held more than one million conversations. Eva can collect knowledge from thousands of sources and provide simple answers in less than 0.4 seconds. Artificial intelligence solutions can be used to improve security in a number of industries, including retail and finance. By mapping card usage and access to endpoints, security specialists more effectively prevent fraud. Organizations rely on AI to follow these steps by analyzing transaction behavior.

 

Companies such as MasterCard and RBS WorldPay have relied on AI and Deep Learning to detect fraudulent transactions and prevent card fraud for years. This saved millions of dollars.

 

Finance

 

Companies used computers and data specialists to determine future market trends. Trading depends mainly on the ability to accurately predict the future. The machines are excellent in this respect because they can process a huge amount of data over a short period of time. Machines can also learn to observe trends in earlier data and predict how they might repeat themselves in the future. In the era of very high-frequency trading, financial organizations are turning to AI to improve their trading performance and increase their profits.

 

One of these organizations is Nomura Securities, the main brokerage firm in Japan. The company reluctantly pursued a goal of analyzing the knowledge of experienced securities traders using computers. After years of research, Nomura is about to put in place a new stock trading system.

 

Agriculture

 

It is alarming that the world will have to produce 50% more food by 2050 because we literally eat everything. This can only be possible if we use our resources more carefully. That said, Amnesty International can help farmers to take more advantage of the land while using resources in a more sustainable way. Issues such as climate change, population growth, and food security have driven the industry to look for more innovative approaches to improve crop yields.

 

Organizations are using automation and robotics to help farmers find more effective ways to protect their crops from weeds.

 

Blue River Technology has developed a robot called See & Spray, which uses computer vision technologies such as onboard object detection.

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