Tuesday, December 4, 2018

Understanding Machine Learning & Artificial Intelligence : Difference & Importance

The research firm Markets & Markets reports that by 2025, the AI market will grow to a $190 billion industry. This does not come as a shock considering the huge potential of artificial intelligence programming for providing a leading edge to companies.

Almost 84% of business organizations agree that AI will offer them a sustainable competitive advantage.

Even though AI is on the rise accelerating the growth of machine learning applications, confusion prevails while differentiating the two. The terms are used interchangeably but it should not be so.

This is because AI & Machine learning co-exists in the technological environment although machine learning can exist without AI.

It has been in existence long before AI’s birth when companies like Facebook & Amazon used it for suggestions & recommendations to its users.


Pointing Out the Difference between AI & Machine Learning

Machine learning involves the adaptation of machines to learn from their surrounding without being programmed frequently for changes.

Some of the latest developments in machine learning involve adapting to user experience, modifying conversations and giving a human touch to communication. 

Artificial intelligence is implemented via machine learning which involves training the system in a way that it acts like a human.

It allows recognizing patterns and offering a more efficient way for accomplishing the set goals.
  1. While machine learning applications focus on the development of neural networks, AI is more inclined towards providing human capabilities to machines through implementing machine learning in the system.
  2. Machine learning involves learning from the data to enhance the user experience whereas artificial intelligence development involves solving complex problems by stimulating the behavior & decision-making patterns of a human.
  3. The main aim of artificial intelligence is to create a system that reproduces human behavior for particular circumstances while machine learning works on the back-end for developing self-learning algorithms to better understand the user’s choice & preferences. 
  4. Machine learning web development heavily utilizes natural language processing for understanding human conversation while artificial intelligence utilizes decision-making skills for finding the most optimal solution to a problem. 

What Does The Future Of AI & Machine Learning Look Like From Here?

It’s only an uphill road for AI & machine learning in the coming decade. A study by Boston Consulting Group & MIT Sloan Management showed that 72% businesses in the sector of technology, media & telecommunications expect to have product offerings with a huge impact of AI in the next 5 years.

Machine learning is thus, an inevitable change in every business & industry. To seize the mega opportunities by the personalization of user experience, machine learning companies are on their toes to implement systems for businesses that can enhance the overall quality of their products.

The hype around the rising of AI is, therefore, more than real; it’s a necessity for business success. Conclusively, it’s not surprising to estimate that by 2020, zero-touch interfaces will be available on two billion devices & IoT endpoints. (Gartner report)

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