Priya Soni
7 min readOct 26, 2020


✍What is Artificial Intelligence ?

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning and planning.

Artificial Intelligence

✍What’s the most popular programming language used in AI?

👉Top 5 AI programming languages:






✍How can AI be used ?

AI has been used in business for various purposes including process automation (by transferring email and call data into record systems, helping resolve billing issues and updating records), cognitive insight (for predicting a buyer’s preferences on sites, personalizing advertising and protecting against fraud).

Artificial intelligence uses machine learning to mimic human intelligence. The computer has to learn how to respond to certain actions, so it uses algorithms and historical data to create something called a propensity model. Propensity models will then start making predictions (like scoring leads or something).

Artificial Intelligence uses


Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Machine learning


Deep learning is a subset of machine learning, and machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. In other words, all machine learning is AI, but not all AI is machine learning, and so forth.

Deep learning


An artificial neural network is an interconnected group of nodes, inspired by a simplification of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another.

Neural Network


Like machine learning or deep learning, NLP is a subset of AI. … SAS offers a clear and basic explanation of the term: “Natural language processing makes it possible for humans to talk to machines.” It’s the branch of AI that enables computers to understand, interpret, and manipulate human language.

Natural Language Processing


computer vision is defined as “a subset of mainstream artificial intelligence that deals with the science of making computers or machines visually enabled, i.e., they can analyze and understand an image.” Human vision starts at the biological camera’s “eyes,” .

Computer Vision


The term cognitive computing is typically used to describe AI systems that aim to simulate human thought. … A number of AI technologies are required for a computer system to build cognitive models that mimic human thought processes, including machine learning, deep learning, neural networks, NLP and sentiment analysis.

Cognitive Computing

✍What are the various Advantages of Artificial Intelligence ?

👉24/7 Availability

👉Day to Day Application

👉Digital Assistance

👉Handling Repetitive Jobs

👉Medical Applications

👉Hazardous Exploration

👉Reduction of Error

✍What are the various Disadvantages of Artificial Intelligence ?







Pros and Cons of AI


1. Siri

2. Cortana

3. Google Assistant

4. Alexa

5. ELSA Speak

6. Socratic

7. Fyle

8. DataBot

9. Hound

10. Youper

👉Top AI Companies: The Leaders

The AI vendors are leading the market by providing AI and ML through their popular cloud platforms, enabling companies to incorporate AI into applications and systems without the expense of developing it in-house.

1. Amazon Web Services

2. Google Cloud Platform

3. IBM Cloud

4. Microsoft Azure

5. Alibaba Cloud

6. Anduril Industries

7. Sift

8. Nauto

9. Tempus

10. Salesforce

Coco Cola Uses AI

Each year, Coca Cola invests big numbers in artificial intelligence research and development to extract as much information as possible from the data it collects and by analyzing data from the latest generation soda fountains, which allow users to mix the perfumes according to their preferences, that the firm decided.

The Coca Cola Company is the world’s largest beverage company selling more than 500 brands of soft drink to customers in over 200 countries. Every single day the world consumes more that 1.9 billion servings of their drinks including brands like Coca Cola (including Diet and Zero) as well as Fanta, Sprite, Dasani, Powerade, Schweppes, Minute Maid and others.


In fact, Coca Cola was one of the first globally-recog nise d brands outside of the IT market to speak about Big Data, when in 2012 their chief big data officer, Esat Sezer, said “Social media, mobile applications, cloud computing and e-commerce are combining to give companies like Coca-Cola an unprecedented toolset to change the way they approach IT. Behind all this, big data gives you the intelligence to cap it all off.”

More recently, Greg Chambers, global director of digital innovation, has said “AI is the foundation for everything we do. We create intelligent experiences. AI is the kernel that powers that experience.”

👉Product development:-

Coca Cola is also looking to follow the lead of tech giants by developing something similar to their “virtual assistant” AI bots such as Alexa and Siri. The AI will reside in vending machines, allowing greater personal isation — for example, users will be able to order their favour ite blend from any vending machine, with the machine mixing it to their individual preference. The AI will also adapt the machines’ beha viour depending on its location. This could mean more lively and excitable vending machines in malls or entertainment complexes, and more sombre , functional beha viour in a hospital.

👉Healthy options:-

As sales of sugary, fizzy drink products have declined in recent years Coca Cola has also hooked into data to help produce and market some of its healthier options, such as orange juice, which the company sells under a number of brands around the world (including Minute Maid and Simply Orange).

The algorithm then finds the best combination of variables in order to match products to local consumer tastes in the 200-plus countries around the world where its products are sold.

👉Augmented reality:-

Augmented reality (AR) where computer graphics are overlaid on the user’s view of the real world, using glasses or a headset, is being trialed in a number of the company’s bottling plants around the world.

This allows technicians to receive information about equipment they are servicing, and get backup from experts at remote locations who can see what they are seeing and help to diagnose and solve technical problems.

It is also used to inspect problems with vending machines and dispensers in remote or difficult-to-reach locations, including cruise ships while they are at sea.

👉Social data mining:-

With 105 million Facebook fans and 35 million Twitter followers, social media is another hugely important source of data for the company.

Coca Cola closely tracks how its products are represented across social media, and in 2015 was able to calculate that its products were mentioned somewhere in the world an average of just over once every two seconds.

👉Digital transformation:-

The Coca Cola company is a shining example of a business which has re-ordered itself based on data and intelligence.

It has long shown an appreciation of the fact that today’s technology offers unprecedented opportunity to reassess just about every aspect of how business is conducted. Rethinking itself as a technology driven company with a focus on strategic implementation of data and AI means it is likely to retain its place at the head of the pack for the foreseeable future.

Thank you for reading guys