Top Artificial Intelligence Applications in Real World

Artificial Intelligence in Banking


AI in banking is growing faster than you thought! A lot of banks have already adopted AI-based systems to provide customer support, detect anomalies and credit card frauds. An example of this is HDFC Bank.

HDFC Bank has developed an AI-based chatbot called EVA (Electronic Virtual Assistant), built by Bengaluru-based Senseforth AI Research.

Since its launch, Eva has addressed over 3 million customer queries, interacted with over half a million unique users, and held over a million conversations. Eva can collect knowledge from thousands of sources and provide simple answers in less than 0.4 seconds.

The use of AI for fraud prevention is not a new concept. In fact, AI solutions are there to enhance security across a number of business sectors, including retail and finance.

By tracing card usage and endpoint access, security specialists are more effectively preventing fraud. Organizations rely on AI to trace those steps by analyzing the behaviours of transactions.

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


Artificial Intelligence in Gaming


Over the past few years, Artificial Intelligence has become an integral part of the gaming industry. In fact, one of the biggest accomplishments of AI is in the gaming industry.

DeepMind’s AI-based AlphaGo software, which is famous for defeating Lee Sedol, the world champion in the game of GO, is one of the most significant accomplishment in the field of AI.

Shortly after the victory, DeepMind created an advanced version of AlphaGo called AlphaGo Zero which defeated the predecessor in an AI-AI face off. Unlike the original AlphaGo, which DeepMind trained over time by using a large amount of data and supervision, the advanced system, AlphaGo Zero taught itself to master the game.

Other examples of Artificial Intelligence in gaming include the First Encounter Assault Recon, popularly known as F.E.A.R, which is a first-person shooter video game.

The actions taken by the opponent AI are unpredictable because the game is designed in such a way that the opponents are trained throughout the game and never repeat the same mistakes. They get better as the game gets harder. This makes the game very challenging and prompts the players to constantly switch strategies and never sit in the same position.


AI in Cars (Smart Cars)


Self-driving cars are the most common existing example of applications of artificial intelligence in real-world, becoming increasingly reliable and ready for dispatch every single day. From Google’s self-driving car project to Tesla’s “autopilot” feature, it is a matter of time before AI is a standard-issue technology in the automotive industry.

Advanced Deep Learning algorithms can accurately predict what objects in the vehicle’s vicinity are likely to do. The AI system collects data from the vehicle’s radar, cameras, GPS, and cloud services to produce control signals that operate the vehicle. Moreover, some high-end vehicles come with AI parking systems already. With the evolution of AI, soon enough, fully automated vehicles will be seen on most streets.

For the longest time, self-driving cars have been a buzzword in the AI industry. The development of autonomous vehicles will definitely revolutionaries the transport system.

Companies like Waymo conducted several test drives in Phoenix before deploying their first AI-based public ride-hailing service. The AI system collects data from the vehicle's radar, cameras, GPS, and cloud services to produce control signals that operate the vehicle.

Advanced Deep Learning algorithms can accurately predict what objects in the vehicle’s vicinity are likely to do. This makes Waymo cars more effective and safer.

Another famous example of an autonomous vehicle is Tesla’s self-driving car. Artificial Intelligence implements computer vision, image detection and deep learning to build cars that can automatically detect objects and drive around without human intervention.

Elon Musk talks a ton about how AI is implemented in tesla’s self-driving cars and autopilot features. He quoted that,

“Tesla will have fully self-driving cars ready by the end of the year and a “robotaxi” version – one that can ferry passengers without anyone behind the wheel – ready for the streets next year”.


AI in Marketing

One of the greatest artificial intelligence examples applications, Marketing, has been a key area for improvement and the latest trends in AI. The early 2000s were not so great in terms of AI’s implementation on the marketing domain online.

Yes, e-commerce existed, but the search wasn’t that great. It was hard to find anything in a store if you didn’t know the exact name. It is due to the improvement in AI that smart suggestions are way more effective now.

With the growing advancement in AI, in the near future, it may be possible for consumers on the web to buy products by snapping a photo of it. Companies like CamFind and their competitors are experimenting with this idea already.

Moreover, AI has also made its way into many software and hardware used by the marketing individuals to help them calibrate the huge amount of data and comprehensively analyze it. Big Data and Machine Learning have been the major players in the domain where AI has shined and effectively elevated the various processes involved in handling data. Taking away a load of performing monotonous and mundane tasks, AI’s implementation in the marketing sector has elevated productivity of the domain up to many notches.


AI in Images

Cameras and apps use AI for applying different effects on images, refining their quality, and even suggest how to click them live!

AI can help in object identification in images and also enhance the photograph to the maximum extent by identifying the depth, lighting, and scope of the picture, and helping capture every element in as much detail as possible. By using this feature, many apps and cameras let you add a variety of effects in your pictures.

Artificial intelligence features allow the users to blur out the background, increase focus on a particular object, add filters, and do a plethora of other amazing experiments on the clicked picture.

Moreover, Google Photos also uses AI to let users look up photos of particular people in their contact lists or tags. It identifies the faces of different people in your pictures and enables you to tag them or search accordingly.


AI in Social Media


Social media is something that has established itself as an essential element for the current generation. We’ve been generating an immeasurable amount of data through chats, tweets, posts, and so on.

In the most common understanding of the statement, wherever there is an abundance of data, AI and machine learning are always involved. The most common use of AI in social media is for face verification and to detect facial features.

AI in social media can be associated with big data and machine learning where deep learning is used to extract every minute detail from an image by using a bunch of deep neural networks. On the other hand, machine learning algorithms are used to design your feed based on your interests.


AI in Homes

The most advanced form of applications of artificial intelligence in the real-world are being implemented in homes, and are becoming smarter every day. Various devices like smart locks, smart switches, etc., are increasingly becoming compatible with various devices, and the application of smart homes is becoming more accessible to the general population every day.

The past few years have witnessed many smart devices that can now learn your behaviour patterns and help you save money by saving energy, suggesting steps that can potentially save your time and resources, and implementing cost-optimized operations. These devices help you with a smarter way of living.

Thermostats and building management systems can help automate building heating and cooling, for instance. In effect, they learn and can predict when to turn your boiler on or off for optimal comfort, whilst factoring in outside weather conditions as well.


AI ChatBots


These days, virtual assistants are very common technology. Almost every household has a virtual assistant that controls their appliances at home. A few examples include Siri, Cortana, and Alexa, which are gaining popularity because of the user experience they provide.

Amazon’s Echo is an example of how artificial intelligence can be used to translate human language into desirable actions. This device uses speech recognition and NLP to perform a wide range of tasks on your command. It can do more than just play your favourite songs. It can be used to control the devices at your house, book cabs, make phone calls, order your favourite food, check the weather conditions, and so on.

Another example is the newly released Google’s virtual assistant called Google Duplex, which has astonished millions of people. Not only can it respond to calls and book appointments for you, but it also adds a human touch.

These days, virtual assistants are a very commodity possessed by various industries. Almost every household has a virtual assistant that controls their appliances at home. A few examples include Siri, Cortana, and Alexa, which are gaining popularity because of the user experience they provide.

Amazon’s Echo is an example of how artificial intelligence can be used to translate human language into desirable actions. This device uses speech recognition and NLP to perform a wide range of tasks on your command.

It can do more than just play your favourite songs. It can be used to control the devices at your house, book cabs, make phone calls, order your favourite food, check the weather conditions, and so on.


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