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AI Applications

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AI Applications

Just the mention of AI and the brain invokes pictures of Terminator machines destroying the world. Thankfully, the present picture is significantly more positive. So, let’s explore how AI is helping our planet and at last benefiting humankind. In this blog on Artificial Intelligence applications, I’ll be discussing how AI has impacted various fields like marketing, finance, banking and so on.

The various domains which I’ll be covering in this blog are:

Artificial Intelligence Applications: Marketing

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

In the early 2000s, if we searched an online store to find a product without knowing it’s exact name, it would become a nightmare to find the product. But now when we search for an item on any e-commerce store, we get all possible results related to the item. It’s like these search engines read our minds! In a matter of seconds, we get a list of all relevant items. An example of this is finding the right movies on Netflix.

One reason why we’re all obsessed with Netflix and chill is because, Netflix provides highly accurate predictive technology based on customer’s reactions to films. It examines millions of records to suggest shows and films that you might like based on your previous actions and choices of films. As the data set grows, this technology is getting smarter and smarter every day.

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 this already.

Artificial Intelligence Applications: 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 can be used 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 behaviors of transactions.

Artificial Intelligence Applications: Finance

Ventures have been relying on computers and data scientists to determine future patterns in the market. Trading mainly depends on the ability to predict the future accurately.

Machines are great at this because they can crunch a huge amount of data in a short span. Machines can also learn to observe patterns in past data and predict how these patterns might repeat in the future.

In the age of ultra-high-frequency trading, financial organizations are turning to AI to improve their stock trading performance and boost profit.

Artificial Intelligence Applications: Agriculture

Here’s an alarming fact, the world will need to produce 50 percent more food by 2050 because we’re literally eating up everything! The only way this can be possible is if we use our resources more carefully. With that being said, AI can help farmers get more from the land while using resources more sustainably.

Issues such as climate change, population growth, and food security concerns have pushed the industry into seeking more innovative approaches to improve crop yield.

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

Artificial Intelligence Applications: Health Care

When it comes to saving our lives, a lot of organizations and medical care centers are relying on AI. There are many examples of how AI in healthcare has helped patients all over the world.

An organization called Cambio Health Care developed a clinical decision support system for stroke prevention that can give the physician a warning when there’s a patient at risk of having a heart stroke.

Artificial Intelligence Applications: 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 known for defeating Lee Sedol, the world champion in the game of GO, is considered to be 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.

Artificial Intelligence Applications: Autonomous Vehicles

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 vehicles radar, cameras, GPS, and cloud services to produce control signals that operate the vehicle.

Artificial Intelligence Applications: Autonomous Vehicles

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 vehicles radar, cameras, GPS, and cloud services to produce control signals that operate the vehicle.

Artificial Intelligence Applications: Chatbots

These days Virtual assistants have become a very common technology. Almost every household has a virtual assistant that controls the appliances at home. A few examples include Siri, Cortana, 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 favorite songs. It can be used to control the devices at your house, book cabs, make phone calls, order your favorite food, check the weather conditions and so on.

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

Artificial Intelligence Applications: Social Media

Ever since social media has become our identity, we’ve been generating an immeasurable amount of data through chats, tweets, posts and so on. And wherever there is an abundance of data, AI and Machine Learning are always involved.

In social media platforms like Facebook, AI is used for face verification wherein machine learning and deep learning concepts are used to detect facial features and tag your friends. 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.

Another such example is Twitter’s AI, which is being used to identify hate speech and terroristic language in tweets. It makes use of Machine Learning, Deep Learning, and Natural language processing to filter out offensive content. The company discovered and banned 300,000 terrorist-linked accounts, 95% of which were found by non-human, artificially intelligent machines.

Wordsmith - Artificial Intelligence Applications - Edureka

Which programming languages are best for learning in 2023-2024?

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Which programming languages are best for learning in 2023-2024?

Learning Coding

The choice of programming languages to learn in 2023-2024 depends on your specific goals, interests, and the domains you want to work in. However, here are some programming languages that are currently popular and widely used, making them good choices for learning:

  1. Python: Python continues to be one of the most popular programming languages due to its simplicity, versatility, and large ecosystem of libraries and frameworks. It is widely used in areas such as web development, data analysis, machine learning, and automation.

  2. JavaScript: JavaScript is essential for web development and has gained significant popularity for both frontend and backend development. It powers dynamic and interactive web pages, and with frameworks like React.js, Angular, and Vue.js, it is also used for building complex frontend applications.

  3. TypeScript: TypeScript is a typed superset of JavaScript that adds static typing and other features to enhance code quality and maintainability. It is increasingly adopted in large-scale projects and is well-suited for frontend development with frameworks like Angular.

  4. Rust: Rust is a systems programming language that prioritizes safety, concurrency, and performance. It is gaining traction in areas like systems programming, embedded systems, and building high-performance applications where memory safety and low-level control are crucial.

  5. Go: Go, also known as Golang, is a statically typed language developed by Google. It is designed for simplicity, scalability, and concurrency, making it suitable for building backend services, networked applications, and distributed systems.

  6. Kotlin: Kotlin is a modern programming language that runs on the Java Virtual Machine (JVM) and is fully interoperable with Java. It is widely used for Android app development and is known for its conciseness, safety features, and strong tooling support.

  7. Swift: Swift is the programming language used for developing iOS, macOS, watchOS, and tvOS applications. If you're interested in mobile app development for Apple devices, learning Swift is essential.

  8. Rust: Rust is a systems programming language that prioritizes safety, concurrency, and performance. It is gaining traction in areas like systems programming, embedded systems, and building high-performance applications where memory safety and low-level control are crucial.

  9. Julia: Julia is a high-level programming language primarily used for data science, numerical computing, and machine learning. It offers a combination of performance and ease of use, making it popular among researchers and scientists.

  10. Java: Despite being a mature language, Java remains widely used in enterprise applications, Android app development, and large-scale systems. It has a vast ecosystem, strong community support, and is known for its stability and compatibility.

Remember that learning programming languages is not just about popularity, but also about aligning with your specific goals and interests. Consider the domains you want to work in, the types of projects you want to pursue, and the communities and resources available for each language. Additionally, keep in mind that learning the fundamentals of programming concepts and problem-solving skills will provide a solid foundation that can be applied to various languages throughout your career.

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