What does Artificial Intelligence look like in 2024? Its Types, Trends, and Future?

What is Artificial Intelligence?

Alright, let’s break down Artificial Intelligence (AI) in simple terms. It’s when computers or robots can do smart stuff like humans. They can learn, think, and act just like we do.

Imagine you create a smart robot. That’s AI because you made it smart. It’s like creating a little digital brain.

These AI-powered machines can do tasks without you having to spell out every single step for them. They figure things out on their own, kind of like how you solve a puzzle without someone telling you each move.

And get this, they can think and act logically and even show some human-like compassion. Pretty cool, right?

Now, if you’re not too into tech stuff, you might think of AI as those robots from movies, like Terminator, doing their own thing, being all smart and scary.

But if you ask an AI expert, they’ll tell you it’s more about fancy computer tricks. They use algorithms, which are like recipes for computers, to make them do smart stuff without constant instructions.

AI is getting super popular these days. It’s all about making machines learn and do things as humans do. They can learn from experience, just like you learn from trying new things, and do tasks just like us.

And as AI keeps growing, it’s going to change how we live. Everyone’s getting interested in AI, whether it’s just using it in everyday life or making a career out of it. It’s like the tech of the future, and everyone wants to be a part of it somehow.

How can we tell if Artificial Intelligence (AI) is acting just like a human?

Okay, so how can we tell if Artificial Intelligence (AI) is acting just like a human? Well, there are a few ways we can check.

• Turing Test
• The Cognitive Modelling Approach
• The Law of Thought Approach
• The Rational Agent Approach

The Turing Test in Artificial Intelligence

First up, there’s the Turing Test. It’s like a game where a person talks to both a human and an AI without knowing which is which. If the person can’t tell the difference, then the AI is doing a pretty good job of acting human-like.

To pass this test, the AI needs a few key abilities:

1. Natural Language Processing: This helps the AI understand and speak in a natural way, just like humans do.
2. Knowledge Representation: Think of this as the AI’s memory. It stores all the info it needs to have a good conversation.
3. Automated Reasoning: This is how the AI uses its stored info to answer questions and come up with new ideas.
4. Machine Learning: With this, the AI can learn from its conversations, spot patterns, and adapt to new situations.

The Cognitive Modelling Approach

Then there’s the Cognitive Modelling Approach. This one’s all about studying how humans think and trying to make AI do the same things. If the AI can think and solve problems like a human does, then it’s hitting the mark.

This approach aims to make an Artificial Intelligence model that works like the human brain. To do that, researchers use three main methods:

1. Introspection: This means looking inside our own heads and studying our thoughts. Then, they use what they learn to build the AI model.
2. Psychological Experiments: Researchers run tests on humans to see how they think and act. By watching their behavior, they can figure out how to make AI act more like us.
3. Brain Imaging: Ever seen those cool brain scans? Researchers use techniques like MRI to peek inside our heads and see what’s going on in there. Then, they try to replicate that activity in AI code.

The Laws of Thought Approach

Next, we’ve got the Law of Thought Approach. This is about logic and reasoning. If the AI can follow the same logical rules that humans do, then it’s behaving like a human in that aspect.

So, the Laws of Thought are basically a bunch of logical rules that our minds follow. These same rules can be written down and used in AI algorithms. But here’s the catch: while it sounds good in theory, putting these rules into practice can be tricky.

See, solving a problem based strictly on these rules can be different from how we actually solve problems in real life. We often make decisions without being absolutely sure of the outcome, and that’s something algorithms might struggle with, especially if there are lots of variables involved. So, while the Laws of Thought are a neat concept, they might not always translate smoothly into AI reality.

The Rational Agent Approach 

Lastly, there’s the Rational Agent Approach. It’s all about making sure the AI acts in a way that makes sense and achieves its goals, just like a human would.

Okay, here’s the scoop on rational agents: they’re all about making the smartest move possible given what’s going on right now.

Now, according to the Laws of Thought, everything should follow logical rules. But sometimes, real life throws us curveballs where there’s no clear-cut logical answer. That’s where the rational agent approach comes in. It’s all about making the best decision you can with what you’ve got, even if things are a bit messy.

So, instead of sticking rigidly to logic, a rational agent is more flexible and adaptable. It’s like having a friend who can roll with the punches and make the best of any situation.

Now that we’ve got the lowdown on how AI can act like us humans, let’s dive into how these systems are put together.

How does Artificial Intelligence Work?

So, when we talk about making an AI system, it’s like creating a digital version of human smarts, but even smarter! Here’s how it goes down:

1. First off, there’s something called Machine Learning (ML). This is where we teach a machine to figure things out on its own by looking at past experiences. It spots patterns in data and makes decisions without needing someone to hold its hand. This saves time for businesses and helps them make better choices.
2. Then, there’s Deep Learning. It’s like a fancy version of ML. This technique trains a machine to process info through layers, kind of like how our brains work, to make sense of things and predict outcomes.
3. Next up, we’ve got Neural Networks. These babies work just like our brain cells, capturing connections between different bits of info and processing data in a way that’s similar to how we think.
4. Moving on to Natural Language Processing (NLP). This is all about teaching a machine to understand and respond to human language. So, when you chat with a chatbot, it’s NLP at work.
5. Now, let’s talk about Computer Vision. This is when a machine looks at an image, breaks it down, and figures out what’s going on. It learns from a bunch of images to make better decisions in the future.
6. Last but not least, there’s Cognitive Computing. This is like trying to make a machine think like a human. It analyzes text, speech, images, you name it, just like we do, and tries to give the best possible response.

So, there you have it! Building AI is all about borrowing from human smarts and making it even smarter using some fancy tech tricks.

Types of Artificial Intelligence?

Alright, let’s break down the types of Artificial Intelligence (AI). Not every AI covers all those fancy fields we talked about earlier. They’re built for different jobs, which is what makes them unique. So, we can classify AI into two main types: Type 1 and Type 2, based on what they do. Let’s take a quick look at Type 1:

Here are the 3 Types of Artificial Intelligence:

Artificial Narrow Intelligence (ANI):

Okay, let’s talk about the everyday AI you see around. It’s called Artificial Narrow Intelligence (ANI), and it’s all over the place. These AI systems are like super-focused experts. They’re designed to tackle one problem and do it really, really well. Like, think of them as the pros of a specific task, whether it’s suggesting products when you’re shopping online or telling you if it’s gonna rain tomorrow.

Now, here’s the thing: these AI pals are awesome at what they do, but they’ve got limits. They’re like superheroes in their own little worlds, but outside of those worlds, they might struggle. Sure, they can sometimes do things better than us humans, especially in certain situations. But they need everything just right, with clear rules and a limited scope to shine. So, while they’re impressive, they’re not quite ready to take over the whole world… yet!

Artificial General Intelligence (AGI):

So, let’s chat about AGI or Artificial General Intelligence. It’s like the big dream of AI, where machines think and learn just like us humans, but across all kinds of stuff, like talking, seeing pictures, and solving problems.

But here’s the thing: we’re not quite there yet. AGI is still just an idea on paper. To make it happen, we’d need tons of little AI buddies, like those narrow intelligence systems we talked about earlier, all working together like a super team. They’d have to chat with each other, share info, and basically act like one big brain.

And even with the most fancy computers out there, like Fujitsu’s K or IBM’s Watson, it’s still a super tough job. It took them a crazy long time—40 minutes—to do what our brain does in just a second. That shows you how insanely complicated our brains are and how tough it is to replicate them with our current tech.

So, while AGI sounds cool, we’ve got a ways to go before we can bring it to life. But who knows? Maybe one day, we’ll crack the code and have super-smart robots running around with us

Artificial Super Intelligence (ASI):

Alright, hold onto your hats because we’re diving into some serious sci-fi stuff now! So, you’ve heard of AGI, right? Well, imagine AGI’s big, brainy cousin—that’s ASI or Artificial Super Intelligence. It’s like the next level of AI, where machines aren’t just as smart as humans, they’re even smarter!

I’m talking about machines that can do everything we can do, but way better. They’ll make decisions, think logically, and get this, they might even be able to make art and form emotional bonds. Crazy, right?

Now, here’s where it gets really wild. Once we hit AGI, it’s like opening the floodgates. AI systems will start improving themselves super fast, zooming into areas we can’t even imagine right now. Some folks think the jump from AGI to ASI will happen in the blink of an eye, like, as fast as a nanosecond! That’s how quickly AI will be learning and growing.

But hold on, before we start envisioning a world run by super-intelligent robots, let’s remember we’ve still got a loooong way to go. Achieving AGI is a big mountain to climb on its own, so ASI might just be a concept for the distant future. But hey, who knows what tomorrow will bring? Maybe one day we’ll be kicking it with AI pals who are smarter than we could ever imagine!

Difference between Augmentation and AI

Artificial Intelligence	Augmented Intelligence
AI replaces humans and operates with high accuracy.	Augmentation does not replace people but creates systems that help in manufacturing.
Augments human decision-making	Augments human decision making
Robots/Industrial IoT: Robots will replace all humans on the factory floor.	Robots/Industrial IoT: Collaborative robots work along with humans to handle tasks that are hard and repetitive.
Real-Time Applications of AI in Customer Success 1. Automated Customer Support and Chatbots 2. Virtual Assistants Automated Workflows	Real-Time Applications of IA in Customer Success 1. IA-enabled customer analytics 2. Discover high-risk/high-potential customers 3. Forecasts Sales

Strong and Weak Artificial Intelligence

So, when it comes to Artificial Intelligence, there’s more than meets the eye. We’ve got Strong Artificial Intelligence and Weak Artificial Intelligence, terms cooked up by a guy named John Searle. He wanted to show how AI machines can perform at different levels. Let’s break down the main differences between them.

Weak AI	Strong AI
It is a narrow application with a limited scope.	It is a wider application with a more vast scope.
This application is good at specific tasks.	This application has incredible human-level intelligence.
It uses supervised and unsupervised learning to process data.	It uses clustering and association to process data.
Example: Siri, Alexa.	Example: Advanced Robotics

What is the Purpose of Artificial Intelligence?

So, why do we have Artificial Intelligence anyway? Well, from a tech perspective, it’s all about giving us a hand and helping us make big decisions that have a huge impact. But there’s more to it than just that.

Think about it from a bigger-picture view. AI has the potential to change the game completely. It could free us from boring, back-breaking work and help us all get along better in this crazy interconnected world we live in.

Now, let’s not get too ahead of ourselves. We’re not quite at the sci-fi future where AI fixes all our problems. Right now, it’s mostly used by companies to make things run smoother, predict stuff, and save time and money. But hey, every big tech thing had its humble beginnings, right?

So, while we’re not quite living in an AI-powered utopia just yet, who knows what the future holds? Maybe one day, AI will be the game-changer we’ve all been waiting for.

Where is Artificial Intelligence (AI) Used?

Alright, let’s break down how AI works in simple terms. It’s like your digital buddy that’s everywhere, helping out in all sorts of places.

Take Google, for example. Ever noticed how it predicts what you’re gonna type before you even finish? That’s AI in action, using what it knows about you to guess what you’re searching for.

Or think about Netflix. It’s like your movie buddy that always knows what you wanna watch next. It uses what it’s learned from your past picks to suggest new ones, keeping you glued to the screen.

Even Facebook gets in on the AI action. Do you know those handy suggestions to tag your friends in photos? That’s AI too, scanning faces and making tagging a breeze.

Basically, big companies use AI to make your life easier. It’s like having a super-smart assistant that knows exactly what you need before you even ask.

Now, let’s talk about what AI actually does. It’s all about processing data, like:

1. Searching through tons of info to find exactly what you need.
2. Following logical rules to make decisions, kind of like “if this, then that.”
3. Spotting patterns in big piles of data to find cool insights.
4. And even predicting what’s gonna happen next based on what it’s seen before.

So, there you have it! AI is like your helpful digital buddy, making life simpler and smarter in all sorts of ways.

Advantages of Artificial Intelligence (AI)

1. Cut Down on Mistakes: With AI on the job, bye-bye to human errors.
2. Always On: AI doesn’t clock out; it’s there for you 24/7.
3. Tackles the Boring Stuff: Say goodbye to monotony with AI handling repetitive tasks.
4. Digital Sidekick: Need a hand? AI’s like your trusty digital buddy, ready to assist.
5. Speedy Choices: AI means quick decisions, no dilly-dallying.
6. Smart Decision-Making: AI’s not just fast; it’s also super logical, making rational choices.
7. Healthcare Boost: AI’s lending a hand in medicine, making diagnoses and treatments more efficient.
8. Beefed-Up Security: Keep your data safe with AI’s help in beefing up security.
9. Better Communication: Thanks to AI, communication is smoother and more efficient than ever.

AI’s not just a tech buzzword; it’s changing the game in all sorts of ways, making life easier and smarter for all of us.

History of Artificial Intelligence(AI)

Let’s talk about the history of Artificial Intelligence (AI). It’s been around longer than you might think, and it’s pretty fascinating!

Back in 1956, a smarty-pants named Marvin Minsky came up with the term “AI” at Dartmouth College. That’s when people really started paying attention to this whole AI thing.

Nowadays, getting certified in AI is a big deal. It can give you a leg up in the job market, especially with all the cool stuff AI can do. We’re talking facial recognition, AI helping out in healthcare, and chatbots that chat with you—it’s like living in the future!

But believe it or not, the idea of AI goes way back. Even ancient Greek stories had tales of smart robots and artificial beings. And then there’s Aristotle, who really got people thinking with his fancy logic stuff.

But even though AI has deep roots, it’s only been around in its modern form for less than a century. And boy, has it come a long way since then!

So, there you have it—the history of AI in a nutshell. From ancient myths to cutting-edge tech, it’s been quite the journey. And who knows what the future holds? With AI, the possibilities are endless!

Alright, let’s check out the key moments in the history of artificial intelligence (AI):

Back in 1943, two brainiacs named Warren McCulloch and Walter Pits released a paper that laid the groundwork for AI. They came up with this idea about artificial neurons, which was a big deal.

Fast forward to 1949, a smart dude named Donald Hebb had a theory about how brain cells connect with each other. This was an important step in understanding how AI could work.

Then in 1950, Alan Turing, a math whiz, wrote a famous paper where he talked about a test to see if a machine could act like a human. It’s called the Turing Test. Also, that same year, two guys named Marvin Minsky and Dean Edmonds built the first-ever computer that kinda worked like a human brain.

Now, let’s jump to 1956. This was a huge year for AI! Allen Newell and Herbert A. Simon made a program called “Logic Theorist” that was super smart. It could solve a bunch of math problems. Plus, a guy named John McCarthy came up with the term “Artificial Intelligence” at a big meeting. This was the official start of AI as a field of study.

After that, here’s what went down:

• In 1959, a guy named Arthur Samuel came up with the term “machine learning” while he was working at IBM. That’s when people started thinking about computers learning stuff on their own.
• Then, in 1963, a smart cookie named John McCarthy started an Artificial Intelligence Lab at Stanford University. It was a big deal!
• Fast forward to 1966, and Joseph Weizenbaum made the first chatbot ever. It was called ELIZA. Can you imagine chatting with a computer back then?
• In 1972, Japan built the first humanoid robot called WABOT-1. Pretty cool, right? It was like something out of a sci-fi movie.
• But then, from 1974 to 1980, things got a bit chilly. This time is called the “first AI winter.” Scientists had a tough time getting funding, and interest in AI went down.
• But in 1980, AI made a comeback! Digital Equipment Corporations made a system called R1, and it was a hit. Plus, there was a big AI conference at Stanford that same year.
• From 1987 to 1993, there was another cold spell called the “second AI winter.” Investors and the government weren’t as keen on funding AI research.
• Jumping ahead to 1997, a computer named IBM Deep Blue beat the world chess champion. It was a big moment in AI history!
• In 2002, vacuum cleaners got smarter with AI. Yep, even your vacuum could have AI inside it!
• Fast forward to 2005, and the American military started using AI in robots. They had robots that could do stuff on their own, like the ones made by Boston Dynamics.
• By 2006, big companies like Facebook, Google, and Netflix were using AI. It was becoming a big deal in tech.
• Then, in 2008, Google made some cool advances in speech recognition. They added a feature to the iPhone app that lets you talk to your phone!
• In 2011, IBM’s computer Watson won Jeopardy. It was a game show where you had to be really smart to win. Watson showed it could understand questions and answer them like a champ.
• In 2012, a guy named Andrew Ng fed a bunch of videos to a computer, and it learned to recognize cats. That might sound weird, but it was a big step forward for AI.
• Then, in 2014, Google made a self-driving car. Yep, a car that could drive itself! That was pretty mind-blowing.
• Also in 2014, Amazon’s Alexa came out. It was like having a smart assistant in your home.
• By 2016, robots were getting even more advanced. There was a robot named Sophia that could recognize faces and have conversations. It was getting closer to acting like a real person!
• And in 2020, during the pandemic, a company called Baidu made an AI algorithm that could help scientists make a vaccine faster. It was a big help in fighting the virus.

So, as you can see, AI is making big strides every day. It’s not just something for the future – it’s happening right now!

Artificial Intelligence(AI) in Everyday Life

AI is everywhere these days, even in the things we use every day:

1. Online shopping: Ever notice how online stores suggest things you might like? That’s AI at work! It looks at what you’ve searched for and bought before, then suggests stuff you might be interested in.
2. Digital personal assistants: You know those handy helpers on your phone like Siri or Google Assistant? They’re powered by AI. They can answer your questions, remind you about stuff, and even help you plan your day.
3. Machine translations: If you’ve ever used a translation app or website, you’ve seen AI in action. It helps translate languages, add subtitles to videos, and even figure out what language something is in.
4. Cybersecurity: AI isn’t just for fun stuff – it’s also keeping us safe online. It can spot patterns in cyberattacks and help stop them before they cause too much trouble.
5. AI against Covid-19: During the pandemic, AI has been a big help in fighting Covid-19. It’s helped track where outbreaks are happening, process healthcare stuff faster, and keep an eye on how the virus is spreading.

So, even though you might not always see it, AI is working behind the scenes to make life easier and safer for all of us!

Applications of Artificial Intelligence in Business

Artificial Intelligence (AI) is like a superhero for businesses, ready to swoop in and make things better. It’s not just a buzzword – it’s a game-changer with tons of cool ways to help different industries. And guess what? They all rely on one thing: data. Since AI is super good at crunching numbers and processing info, it’s a champ at finding ways to improve stuff.

Let’s check out how AI is rocking it in some key industries:

Healthcare:

• Administration: AI is lending a hand with all the boring paperwork stuff, making sure everything runs smoothly and accurately. It helps docs by transcribing notes and organizing patient info neatly.
• Telemedicine: Now you can chat with a hospital AI to get advice on your symptoms and vital signs. It takes the pressure off docs by filtering out the urgent cases.
• Assisted Diagnosis: AI is like a super-sleuth for spotting health issues. It can scan MRI images lightning-fast and catch things like tumors way quicker than humans – and with fewer mistakes.
• Robot-assisted surgery: Surgeons are getting a high-tech sidekick with AI-powered robots. They’re super precise and tireless, which means less invasive surgeries and faster recoveries for patients.
• Vital Stats Monitoring: With wearables like smartwatches becoming popular, AI can keep tabs on our health stats 24/7. It’s like having a personal health detective, spotting trouble before we even feel it.

See? AI isn’t just sci-fi stuff – it’s making a real difference in our lives, especially when it comes to staying healthy!

E-commerce

AI is like a secret weapon for online shopping, making it way cooler and smarter. Check out how it’s changing the game:

• Better recommendations: Ever notice how online stores magically know what you might want to buy next? That’s AI at work! Big e-commerce sites are using AI to suggest products you might dig, and it’s boosting their sales big time.
• Chatbots: You know those little chat boxes that pop up when you’re shopping online? Yup, those are AI chatbots! They’re like super helpful assistants, available 24/7 to answer your questions and help you out.
• Filtering spam and fake reviews: With so many reviews flooding in, it’s hard to tell the real ones from the fakes. But AI’s got our back! It uses fancy language tech to spot fake reviews and keep our online shopping experience legit.
• Optimizing search: Ever try to find something online and get lost in a sea of options? AI fixes that! It fine-tunes search results based on tons of factors, so you find exactly what you’re looking for, every time.
• Supply chain: AI’s not just for shoppers – it’s helping stores, too! By crunching data, AI predicts what stuff people will want and when, so stores can keep their shelves stocked and customers happy.

So, next time you’re online shopping, remember – AI’s the real MVP, making the whole experience smoother and smarter.

Human Resources

Creating a great work vibe: AI is stepping up to help companies build a positive work atmosphere. It’s crunching data to match employees with the right teams, dish out projects based on their skills, gather feedback about the workplace, and even predict if someone might be thinking of leaving their job.

Recruitment: AI’s lending a hand in the hiring process too! Using NLP magic, it can sift through tons of resumes in the blink of an eye, figuring out who’s a good fit for the job. This means less room for human mistakes or biases and faster hiring times for companies.

Robots Powered by AI

Even before AI hit the scene, robotics was already making advancing. Now, AI is turbocharging robotics, making robots smarter and more efficient. In various industries like manufacturing and packaging, robots fueled by AI are making waves. Here are some ways they’re being used:

1. Assembly: AI teams up with high-tech vision systems to guide robots in making real-time adjustments as they work. This means they can adapt on the fly, ensuring precision and efficiency.
2. Learning Paths: With AI onboard, robots can learn on the job. They figure out the best routes for different tasks while they’re working, optimizing processes as they go.

Customer Service In retail and hospitality, AI-powered robots are stepping up to handle customer service. These robots use Natural Language Processing to chat with customers in a smart, human-like way. The more they chat, the smarter they get, thanks to machine learning.

Packaging AI is revolutionizing packaging, making it faster, cheaper, and more precise. It learns from each movement a robot makes, constantly improving efficiency. This means setting up and moving robotic systems becomes a breeze.

Open Source Robotics Today’s robotic systems come with AI capabilities and are sold as open-source platforms. This means users can teach robots to do custom tasks tailored to specific needs. For example, they can be trained for tasks like small-scale agriculture.

Why is AI Technology Valuable?

AI technology provides numerous important advantages that make it incredibly useful:

• Automation: AI can automate repetitive tasks without getting tired, freeing up human resources for more complex work.
• Enhancement: It effectively improves products and services, offering better experiences to users and delivering more precise product recommendations.
• Analysis and Accuracy: AI analyzes data faster and with greater accuracy than humans, leading to better decision-making.

In summary, AI enables organizations to make faster, better decisions while improving both products and business processes.

Artificial Intelligence Career Trends

Careers in Artificial Intelligence (AI) have been steadily growing in recent years and are expected to continue expanding rapidly. In India, 57% of companies are actively seeking talent to meet market demands. Those who have transitioned into AI roles have seen a significant salary increase of 60-70% on average. Mumbai leads the competition, followed by Bangalore and Chennai. According to the World Economic Forum (WEF), AI is projected to create 133 million jobs by 2020. However, there’s a gap between job demand and available workforce.

AI is being utilized across various sectors including healthcare, banking, finance, marketing, and entertainment. Some of the top AI-related jobs include Deep Learning Engineer, Data Scientist, Director of Data Science, and Senior Data Scientist.

Given the growing opportunities, now is an ideal time to enhance your skills in this field.

What is the relationship between AI, ML, and DL?

In the image above, you can see three circles representing the relationship between Deep Learning (DL), Machine Learning (ML), and Artificial Intelligence (AI). AI is the broadest concept encompassing both ML and DL. ML came next, followed by DL, which is now taking AI to new heights.

Examples of Artificial Intelligence include:

• Facebook Watch
• Facebook Friends Recommendations
• Siri, Alexa, and other smart assistants
• Self-driving cars
• Robo-advisors
• Conversational bots
• Email spam filters
• Netflix’s recommendations
• Proactive healthcare management
• Disease mapping
• Automated financial investing
• Virtual travel booking agents
• Social media monitoring

The future of Artificial Intelligence (AI)

The future of Artificial Intelligence (AI) is incredibly exciting! We’ve always been captivated by technology and now we’re witnessing some of the most amazing advancements ever. AI is becoming the next big thing in tech, with organizations worldwide making groundbreaking innovations in AI and machine learning. It’s not just affecting every industry and individual’s future, but it’s also driving other emerging technologies like big data, robotics, and IoT.

With its rapid growth, AI will keep pushing the boundaries of innovation for a long time to come. This means there are fantastic opportunities for trained professionals to build rewarding careers in this field. And as these technologies continue to evolve, they’ll have an even greater impact on society and our quality of life.

Career Opportunities in AI

• AI & ML Developer/Engineer An AI & ML Engineer/Developer is responsible for analyzing data and implementing statistical designs. They build deep learning systems, manage machine learning programs, and implement ML algorithms. Their main task is to deploy AI & ML-based solutions for the company. To become an AI & ML developer, you need good programming skills in Python, Scala, and Java. You’ll work with frameworks like Azure ML Studio, Apache Hadoop, and Amazon ML. With the right training, you can excel in this role and earn an average salary ranging from INR 4 Lakhs to INR 20 Lakhs per year.
• AI Analyst/Specialist Similar to AI engineers AI analysts or specialists focus on providing AI-oriented solutions to improve industry services. They analyze data trends and patterns to enhance various sectors like healthcare, finance, and cybersecurity. Strong programming and analytical skills are necessary for this role, along with at least a bachelor’s degree. AI analysts can earn between INR 3 Lakhs to 10 Lakhs per year, depending on experience and company.
• Data Scientist: Data scientists play a crucial role in identifying valuable data sources and analyzing big data to develop predictive ML models. They work with tools like SQL, Python, and R, and frameworks such as Amazon ML and Azure ML Studio. Data scientists earn an average salary of INR 5-22 Lakhs per year, depending on experience and company.
• Research Scientist AI research scientists innovate and discover AI solutions for real-world problems. They require expertise in AI disciplines like Computational Statistics and Machine Learning, along with programming skills in Python, Scala, SAS, and R. A master’s or doctoral degree is essential for this role, with an average salary starting from INR 35 Lakhs annually.
• Product Manager: Product managers incorporate AI strategies to solve business problems by collecting and interpreting data. They need programming skills in languages like Python, R, and SQL, along with knowledge of AI-ML concepts. The average salary for a product manager ranges from INR 7-8 Lakhs per year initially and can increase significantly with experience.
• Robotics Scientist: Robotics scientists manage robotic systems and require expertise in robotics, computer science, or engineering. They need skills in programming, mechanics, electronics, and sensing. A master’s degree is typically required for this role. Robotics scientists enjoy high-paying careers due to the growing demand for automation and robotics professionals.

FAQ

Where is AI used?

Artificial Intelligence is used across industries globally. Some of the industries that have delved deep into the field of AI to find new applications are E-commerce, Retail, Security, and Surveillance. Sports Analytics, Manufacturing and Production, Automotive among others. 

How is AI helping in our lives?

Virtual digital assistants like Alexa and Siri have revolutionized our daily routines. They’ve become almost like real companions, assisting us with both small and big tasks. Their natural language capabilities and self-learning abilities, without human intervention, are driving their rapid development. In interactions, they resemble humans, but they’re even smarter and quicker.

Is Alexa an AI?

Yes, Alexa is an Artificial Intelligence that lives among us.

 Is Siri an AI?

 Yes, just like Alexa Siri is also an artificial intelligence that uses advanced machine learning technologies to function.

Why is AI needed?

AI enhances processes by making them better, faster, and more precise. Its critical applications include identifying and predicting fraudulent transactions, swiftly and accurately assessing credit, and automating labor-intensive data management tasks. Across various industries and applications, AI improves existing processes and aids in devising novel solutions for challenges that are too complex to handle manually.

What is artificial intelligence with examples?

Artificial Intelligence, a creation of humans, possesses the ability to carry out tasks intelligently without explicit instructions. Often, we utilize AI in our daily routines without recognizing it. Apps like Spotify, Siri, Google Maps, and YouTube rely on AI for their operations.

Is AI dangerous?

Although there are several speculations on AI being dangerous, at the moment, we cannot say that AI is dangerous. It has benefited our lives in several ways.

What is the goal of AI?

The basic goal of AI is to enable computers and machines to perform intellectual tasks such as problem-solving, decision-making, perception, and understanding human communication.

What are the advantages of AI?

There are several advantages of artificial intelligence. They are listed below:

• Available 24×7
• Digital Assistance
• Faster Decisions
• New Inventions
• Reduction in Human Error
• Helps in repetitive jobs

Who invented AI?

The term Artificial Intelligence was coined by John McCarthy. He is considered as the father of AI.

 Is artificial intelligence the future?

We’re experiencing the most significant advancements in Artificial Intelligence (AI) to date. AI has become the next big thing in technology and has profoundly influenced nearly every industry’s future. The demand for AI professionals is surging, with projections suggesting that AI will create 133 million new jobs by 2023, as per the World Economic Forum. Clearly, AI is shaping the future.

What is AI and its application?

AI has infiltrated numerous industries today, from gaming to healthcare. It’s all around us. Did you know that the facial recognition feature on our phones relies on AI? Even Google Maps utilizes AI, becoming an integral part of our daily routines more than we realize. From email spam filters to voice-to-text features, search recommendations to fraud protection, and even ride-sharing applications, AI is everywhere, shaping our modern lives in countless ways.