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AI & ML

Insights into the Pros, Cons & Future of Artificial Intelligence and Machine Learning

As understood by its name, Artificial Intelligence (AI) is ‘artificially’ creating the intelligence we humans naturally have. Contrarily, this is created by us, humans with the help of computing environment involving the use of algorithms!



Simply put, AI is a technique that enables computers to think and behave like humans by rationally making decisions.

When we talk about AI, we cannot skip on Machine Learning (ML). This is a sub-division to Artificial Intelligence that analyzes the machine behavior in replicating human traits.

Just take a look around, and you will be astonished to learn that artificial intelligence has already intruded our lives in multiple ways. These are fundamentally aimed to ease our lives and facilitate our daily lifestyle by largely reducing manual intervention. Above all, precision and perfection are two notable advantages of AI that holds true not just in our daily activities, but also in various business realms and domains.

AI set against ML –Exploring the differences

  • Before we get into some examples that can tell you exactly what AI does, we need to learn the difference between Artificial Intelligence and Machine Learning – the two often misconceived terms.
  • Artificial Intelligence is simply a term that involves Programing for building the so-called intelligence artificially. On the other hand, Machine Learning involves automatic learning and study of systems, results, performances, etc. so that smarter, better systems are eventually built.
  • Artificial Intelligence mandates knowledge on programing, robotics, data mining, algorithm, and the like whereas Machine Learningproposes different demands on the whole. The requisites are data modelling, applied mathematics, programing languages, among others.
  • One of the best examples to explain either of these would be the Chatbot on any website. When a userseeks Chatbox for customer support, it is common to find automated replies sent to customers. This functionality utilizes Artificial Intelligence to produce the same. Such conversations arrive at a threshold where AI can no more handle enquiries, and that is when human intervention takes place to sort the issue. At this juncture, Machine Learning waves in to understand the prevailing conversation. This is then recorded, processed and analyzed to make necessary amendments in the Chatbot automated replies to handle the enquiries even better.

A few Examples to learn better


If you still do not understand what exactly Machine Learning does, take a few moments to think of the recent recommendation you got on your smartphone’s YouTube – probably the most common video streaming application that we use very often! How do you think you are able to get riveting video suggestions at the right time you want? And that is exactly the magic of Machine Learning which monitors your activities, keywords, usage and search terms to produce befitting contents in-line with your demands. The same scenario applies to Twitter, Instagram, or others digitally.

When we talk about Artificial Intelligence, think of the applications of Apple Siri, or Amazon Alexa? How about its automated functioning? Don’t they fit into AI? Detecting fraudulence at banks and monitoring the credit card details of customers are forms of AI that come handy.

Types of Artificial Intelligence

1

Narrow AI

Can handle dedicated tasks with artificially created intelligence.

2

General AI

Can mimic human intelligence

3

Super AI

Surpass the first two by exhibiting cognitive abilities

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The Scope and Future of AI & ML

Now that you understand the types of AI and its importance, and how it is related to Machine Learning, it is imperative to also study their future and scope of usage. Be it big data, robotics or Internet of Things, the penetration of artificial intelligence in these dimensions is already humongous.The future of Artificial Intelligence is evidently substantial across business realms.

Healthcare could elevate its service quality with enhanced diagnosis and accurate results. This facilitates not just the medication, but also the process of appointment booking or bill payments.

Besides, the application of AI in cyber security is immeasurable. This could enable monitoring of security issues, for instance. On the other hand, the workload imposed on pilots could substantially be reduced by implementing both AI and ML. These technologies are also promising in public transportation sector, to note. As obvious, this technology is also helpful in enhancing digital services provided on ecommerce solutions where the customer experience can be tremendously enhanced.

Are we forgetting about Machine Learning here? Nope! The application of machine learning across fields is mammoth, especially in academics. Say, teachers could utilize AI to keep track of their students’ performances and progress.In today’s digitalized world, ML is implemented in making voice search, image recognition, face recognition, etc. that facilitate the use of different applications and gadgets.

And the next unforgettable application of ML is healthcare where it automates billing process, diagnosis, treatment and clinical decisions.




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The downsides of AI & ML

While talking about the benefits and usage of a technology, we are also obviously pushed to talk about its downsides – if we need to be honest! In the same lines, the foremost disadvantage of Artificial Intelligence is its cost. Being latest advent in technology, it demands the latest gadgets and tools to incorporate AI. There is no scope of creativity or innovation in using AI, as all of its actions are predetermined with the help of previous history of actions and data fed. Practically, incorporating artificial intelligence in our day-to-day lifestyle will weed out the need for human intervention which will consequentially reflect in the total number of job opportunities.

Coming on to Machine Learning, the major disadvantage is that it consumes big, bulk data and a lot of time to produce results. When we have the good, obviously the bad comes along. That said, the demand for AI and ML are tremendously increasing in the recent years. You are sure to have huge scope of monetization and business opportunities as you learn these trending technologies. At Thryakshari, we have industry experts to train you with the in-depth insights of these trends and prep you for top job posts. They will also guide you with the scope of building a business in these realms from scratch. Visit us for more details on this enquiry.