Demystifying Artificial Intelligence: What Does it Take to Succeed in AI?

As per the report by International Data Corporation, almost 50 percent of the participating global organizations perceived Artificial Intelligence as a top priority. While 25 percent of these businesses had successfully implemented a company-wide AI strategy, almost 60 percent had modified their business model to accommodate AI-driven functionalities.

However, one-fourth of the respondents reported that up to 50 percent of their AI projects couldn’t provide the desired results.

Overall, many businesses experience issues when trying to incorporate Artificial Intelligence (also known as AI) into their operations. There are various reasons for this, such as the higher costs involved, the requirement of specialist skills, and reliance on the collection of comprehensive data.

Arguably, while Artificial Intelligence is still in its budding stage, it shows tremendous potential as an essential business tool, with its almost inexhaustible list of benefits.

Artificial Intelligence
Artificial Intelligence

Let us take a look at different factors that are crucial for implementing a company-wide AI strategy and how professionals can leverage AI and machine learning courses in India to increase their employability.

The AI Career Landscape

Artificial Intelligence is getting tremendous traction lately because of the growing adoption of AI technology across different industries.

Leading organizations that already have a company-wide AI strategy in place, leverage the technology to deliver game-changing business value, understand customer behavior, detecting frauds, and even predicting potential risk areas.

Overall, Artificial Intelligence finds application in almost every industry, from transportation to entertainment – implying the need for even more qualified, skilled professionals.

Market experts predict that AI will create up to 2.3 million jobs by 2020, offering unique and viable career opportunities to budding and experienced professionals.

Moreover, as per Gartner, proof-of-concept analytic projects that use quantum computing infrastructure will outperform traditional analytic approaches by 2021, across multiple domains.

Also, by 2023, almost 40 percent of I&O teams will leverage AI-augmented automation across large-scale enterprises, improving productivity, agility, and scalability of IT resources.

AI and Machine Learning Explained

If you are not much aware of Artificial Intelligence, you might be wondering about what AI is? Artificial Intelligence is a software that mimics human learning patterns to take over manual computational jobs.

Artificial Intelligence algorithms use a set of training data to empower computers so that they can learn to perform operations they are not programmed to do. In other words, AI is the necessary technology that helps us augment our human capabilities.

AI has widespread applications and benefits. Smartphone-based apps such as navigation assist, ride-sharing apps, personal assistants, smart home devices, and online streaming services – all leverage Artificial Intelligence in some form.

On the other hand, businesses utilize AI-powered solutions to define the opportunity, assess risk, cut costs, and boost research & innovation.

Different Stages of AI

Artificial Intelligence is rapidly evolving and offers tremendous business potential. Essentially, there are three different stages of AI learning, including:

Stage One – Machine Learning

Machine learning comprises establishing algorithms to develop intelligent systems that learn from experience and valued data.

Stage Two – Machine Intelligence

At this stage, the machines learn from usage data and experience based on false algorithms. This form of machine learning is more evolved and helps improve the cognitive abilities of the machines.

Stage Three – Machine Consciousness

This is the stage when systems are capable enough to self-learn from their experience, without any external data. Apple’s voice recognition software Siri is an example of machine consciousness currently.

How to Get Started in AI?

If you are fascinated by the value of Artificial Intelligence and career prospects in the field, there are different learning paths to suit every type of professionals – freshers, experienced programmers, and those already working in the field of data science. Organizations, too, require different skill sets based on the job profile they offer.

AI and Machine Learning courses offered by reputable institutions in India, such as Jigsaw Academy enable you to cross the bridge from all specializations to machine learning. These courses introduce you to the different aspects of the field, such as data preparation, business knowledge, model building, and data visualization.

After the completion of your curriculum, you can opt for a variety of job roles in the field of AI, including Machine Learning Engineer, Robotic Scientist, Data Scientist, Research Scientist, and Business Intelligence Developer.

Artificial Intelligence, as a career choice, is evolving at an unprecedented pace. It is, therefore, the right time when you ride the wave of future-ready career options in the field of AI.