Items filtered by date: January 2024

As we enter 2024, the world of innovative technology is moving faster than ever, and something called "generative AI" is making a big move. Last year, people got a taste of it with things like ChatGPT. But get ready because 2024 is all about businesses and big industries jumping on the generative AI to make things better and more intelligent. So let's see what AI for future looks like and what are AI predictions for the future. Also, let us look at “Is AI good for the future?”

As per the CIO&Leader Annual State of Enterprise Technology report, the adaptability of artificial intelligence (AI) is encouraging businesses to explore a wide range of applications within their daily operations. This trend is sparking increased enthusiasm for integrating AI in various business processes.

As reported by Indian Business Insider, “The marked increase in AI spending reflects a fundamental shift in enterprise technology investment strategies. It highlights the growing realisation of the transformative impact of AI on business operations and its tangible benefits," said R Giridhar, Group Editor and Head of Research at 9.9 Group.

Let's explore some territories where artificial intelligence (AI) has the potential to make significant advancements.

AI in 2024: What to Expect

ChatBots 

When we talk about AI predictions for the future, this is the first thing that comes to mind. In 2024, generative AI is expected to become more accessible to the everyday person, even those without technical expertise. We anticipate a surge in individuals experimenting with a multitude of AI models. Advanced AI models like GPT-4 and Gemini are at front runners, being multimodal and capable of handling text, images, and videos. However, the effectiveness of this trend depends on the reliable performance of these models. With the ability to handle diverse types of content, chatbots can interact with users through text, images, and even videos. This richer, more dynamic interaction is poised to create a more personalised and interactive communication experience.

Moreover, the multimodal capabilities of AI models like GPT-4 and Gemini empower chatbots to generate text-based responses and visual content. Chatbots can create and share images or graphics, offering a more comprehensive and visually appealing communication experience.

Turn Words into Videos 

Imagine a magical world where computers can turn words into videos. Cool, right? Tools like OpenAI's DALL-E, Stability AI's Stable Diffusion, and Adobe's Firefly are making this happen. They've flooded the internet with mind-blowing pictures, and now they're stepping up their game to create videos from plain text.

Big movie studios like Paramount and Disney are taking notice and using these cool computer tricks in their movies. They're making actors' voices match up perfectly with different languages and doing mind-blowing things with special effects. It's not just for film; many big companies also use this tech for advertising and training. 

Professional Licensing for AI

In the following year, we may require AI systems to get a professional license,” said Amy Webb, chief executive of the Future Today Institute, a consulting firm. “While certain fields require professional licensing for AI, so far, algorithms get to operate without passing a standardised test. You wouldn’t want to see a urologist for surgery who didn’t have a medical license in good standing, right?”  In the world of AI, we wonder if it's necessary to have a license because AI can be used for good and bad things. On the positive side, it can help a lot in areas like healthcare, education, and taking care of the environment. But if it's misused, it could cause problems like invading privacy, maltreating people, taking away jobs, and the risk of AI-powered weapons. Professional licensing for AI can act as a control to balance the significant authority humans hold.

The importance of authenticity will grow even more

Imagine being sure whether your friend's vacation photo on Instagram is a real-life moment or created by a computer. There's a prediction that Apple will introduce a "Photographed on iPhone" stamp next year to confirm that the photos are not generated by artificial intelligence. As we navigate an era where AI's capabilities expand, establishing trust and veracity in our interactions, communications, and shared experiences will become essential to preserving the integrity of our digital narratives and connections.

Future Jobs for Specialization in AI

When thinking about jobs in AI, we wonder, "What are the future jobs for specialisation in AI?”

The job market for AI is changing a lot. Some jobs might disappear, but there are new chances coming up, especially in fields that need advanced AI and data skills. This change is important for India. By 2024, around 1.2 million AI-related jobs might not have anyone to do them. It's crucial for people in India to learn new skills and keep learning. This shift in the job market gives a significant opportunity for professionals in India to change and do well in the growing AI job market. It's a great time for professionals to learn more, keep learning, or even think about switching to a career in AI.

Future AI Scope in India and the World

In 2024, the stories of AI around the world and in India are coming together. Global trends like practicality, open-source models, regulations, job changes, and efficiency improvements are causing big changes in AI. Meanwhile, India's growth in IT and AI brings a special touch to this story. India has a big market, lots of investments in IT and AI, and new rules, making it stand out in the global AI revolution. Going into 2024 and beyond isn't just about adapting to changes; it's about leading and shaping the future of technology and innovation. Let's go on this exciting journey together!

AI engineers are in high demand for good reason. The world is in a transformative era driven by the potential of Artificial Intelligence (AI). As reported by The Economic Times, “By 2030, AI is poised to contribute a staggering $15.7 trillion to the global economy, surpassing the combined outputs of economic giants China and India”. The individuals who possess the skills to navigate through this complex domain (AI Engineering) are going to be in high demand. 

In the digital age, where technology is the driving force behind innovation and progress, pursuing a degree in Computer Engineering and Artificial Intelligence (AI) is becoming a good career option. New AI tools like ChatGPT, Bard, MidJourney, and others are making people worried about future jobs.

But how can you become an AI engineer? What do you need to do to get into this growing field, and what is the AI Engineer salary in India? Let's explore all these aspects together and find out why getting a degree in Computer Engineering and AI is a smart decision. 

Who is an AI Engineer?

An AI engineer is someone who improves artificial intelligence by using programming and data science. They work on things like machine learning and neural networks and help make sure AI is used responsibly by companies all over the world.

What does an AI Engineer do?

An AI engineer is someone who makes computers smart. They create programs and systems that help machines do things that usually need human intelligence. They can specialise in areas such as natural language processing, computer vision, or reinforcement learning, depending on their expertise and project requirements. Additionally, AI engineers collaborate with cross-functional teams, analyze data, and stay abreast of the latest advancements in AI technology to ensure the effective integration of AI solutions into various applications and industries.

How can you become an AI Engineer?

Step 1: Obtain a bachelor's degree.

You can opt for Computer Sciences & Engineering (Artificial Intelligence) or Computer Sciences & Engineering (Artificial Intelligence & Machine Learning) course. The specific curriculum for Computer Science and Engineering programs focusing on Artificial Intelligence (AI) or Artificial Intelligence and Machine Learning (AI/ML) can vary across institutions. This course gives you a basic understanding of how these technologies work and where they're used. You'll learn the theoretical basics of AI, like logic, search algorithms, and different types of machine learning models.

Step 2: Earn Certifications

Getting certified in Artificial Intelligence (AI) or Artificial Intelligence and Machine Learning (AI/ML) is like having a special badge that shows you're good at these fast-growing technologies. It's not just about learning in a structured way; having these certificates makes you stand out when looking for a job. Companies and important people in the field know and respect these certificates, which can help you make important connections and move forward in your career. So, getting certified isn't just about learning; it's like getting a key to more opportunities and a way to show everyone that you know your stuff in AI or ML.

Step 3: Acquire Practical Experience 

To be an AI engineer, it's important to do things. it's also crucial to work on real problems. By doing projects and joining hackathons, you can learn practical skills and get hands-on experience with the tools and technologies used in AI engineering. Knowledge of AI tools like ChatGPT can greatly benefit computer engineers by offering versatile applications in their work. These tools can be employed to automate customer support through the creation of intelligent chatbots, streamlining query resolution. Additionally, computer engineers can leverage AI for code assistance, automating tasks like code generation and debugging.

AI Engineer Salary

Glassdoor reports that the typical yearly income for an AI engineer in India is ₹765,353 and in the United States is $114,121. Salaries can vary across different companies and depend on the skills and expertise you possess.

Some AI Engineering Professions:

Why Learning AI Now Gives You a Big Advantage?

The fast progress of AI, seen in amazing models like GPT-4 and DALL-E3, has changed what AI can do. These models create clear writing and lifelike pictures, showing how AI can help in different areas. However, using and improving these models well needs a special kind of expert, and those experts are AI engineers. The field of Computer Engineering and AI is synonymous with innovation. Graduates of this field find themselves at the front of technological changes, contributing to the development of intelligent systems & algorithms. The knowledge in this dynamic field ensures constant exposure to the latest technologies, making graduates valuable assets in the fast-changing industry.

Frequently Asked Questions (FAQs)

1. What is the role of an AI Engineer?

Answer: An AI engineer enhances artificial intelligence through programming and data science. They focus on areas such as machine learning neural networks and ensure companies' responsible use of AI globally.

2. What tasks does an AI Engineer typically perform?

Answer: AI engineers create programs and systems to make machines perform tasks requiring human-like intelligence. They specialise in natural language processing, computer vision, and reinforcement learning. They also collaborate with cross-functional teams, analyse data, and stay updated on AI advancements.

3. How can practical experience benefit an AI Engineer's career?

Answer: Practical experience gained through projects and hackathons is crucial for AI engineers. It provides hands-on skills with AI tools like ChatGPT and helps solve real-world problems. Practical knowledge is essential for success in the field.

4. What is the average salary of an AI Engineer in India and the United States?

Answer: According to Glassdoor, the typical yearly income for an AI engineer in India is ₹765,353, while in the United States, it is $114,121. Salaries may vary based on skills, expertise, and the employing company.

5. Why does learning AI now provide a significant advantage?

Answer: The rapid progress of AI, exemplified by models like GPT-4 and DALL-E3, has expanded its capabilities. Learning AI now provides a big advantage as it requires specialised experts—AI engineers—to effectively use and enhance these advanced models.

We are confused about many career options in this era of confusing career choices. Even if we choose engineering as a career option, we are confused about which branch to choose. 

At times, even if we choose a different career, we might end up with a job that doesn't excite us, and we wish we could change what we do. Many people want to switch jobs within the field of engineering.

Let's put some light on switching from chemical engineering to computer science.

Transition from Chemical Engineer to Software Engineer

If you’re looking for an answer to the question, Can a chemical engineer become a software engineer? This blog is for you. In this blog, we will guide you to transform your career and explore the skills, challenges, and opportunities for your way to success in computer engineering. 

First, what skills do you have in your bank that you have acquired during chemical engineering?

The mindset should be to utilise those skills in developing the ones needed for computer engineering. So let’s begin….

1. Use Chemical Engineering Expertise

• Analytical Mindset

Chemical engineers are equipped with an analytical mindset, a skill crucial in software development. The ability to break down complex problems into easier components is a unique skill, making you a solid candidate for transition.

• Problem-Solving Skill

One of the traits of a chemical engineer is their problem-solving skills. This skill smooths your transition into the software engineering domain, where identifying and rectifying bugs, optimising code, and troubleshooting are everyday challenges.

• Process Optimization in Software Development

Chemical engineers are very good at optimising processes, a skill easily transferable to software development. It can be used in code deployment and streamlining development workflows.

2. Master Algorithmic Thinking

Software engineering is fundamentally algorithmic. Chemical engineers can use their mathematical powers to understand and implement algorithms efficiently. Platforms like HackerRank and LeetCode provide an excellent playground for learning these skills.

• Coursera

• Learn to code with me 

• Enjoy Algorithms

• Learning.com

3. Get Into Web Development

Learning web development is a strategic move for those eyeing a career in software engineering. Learning front-end technologies like HTML, CSS, and JavaScript broadens the skill set and enhances the adaptability of a transitioning professional.

4. Networking and Mentorship

Building a network within the software engineering community is a very important step. Engaging with forums like GitHub and participating in coding communities will allow you to collaborate. You can seek mentorship in these communities, too.

5. Continuous Learning 

The most important thing of all is that you should have a flexible and continuous Learning Mindset. Transitioning from chemical engineering to software engineering demands a commitment to continuous learning. The tech industry evolves daily, and staying updated on emerging technologies and industry trends is very important.

10 Places to learn Programming and Coding for FREE

What Else Can You Do?

Many people in India often opt to pursue a Master's degree or take a conversion course in software development while still in college. After completing your bachelor's degree, you can choose to do a one-year Master's program to gain fundamental knowledge in software development.

More and more people are teaching themselves how to code. In the tech world, companies care more about your work experience and references than whether you have a Software Engineering Degree. This means that bright minds who didn't do software engineering can still do well in the industry.

But going the self-taught route takes a lot of time and dedication. You have to be disciplined and organised in how you approach it.

Believe you can have a seamless transition

Can a chemical engineer become a software engineer? The answer is yes, and it fills you with many opportunities. If Chemical Engineers can use their analytical skills, develop coding proficiency, and commit to continuous learning, they can successfully walk through this transformative path. With a keen eye for detail, chemical engineers are well-suited for quality assurance and testing roles. Also, the data-centric nature of chemical and software engineering brings them into the world of Data Science.