How Machine Learning (ML) is Transforming our Lives

Can machines conquer over human intellectual capabilities?

We cannot deny the fact that the spectrum of human imagination is limitless: unlike machines, we are not programmed to follow a specific algorithm to complete one particular task. Our neural network comprehends millions of possibilities based on a number of factors.

Yet, with Machine Learning and AI, we have now entered the realm in which machines can think, comprehend human behavioral pattern and make decisions based on trial and error – just like us.

No, a machine may not be smarter than us and are not set to take over humans like most sci-fi Hollywood films representation of AI.

Basis of Machine Learning

The basis of Machine Learning is that it helps us accomplish more in less time.

Imagine being able to delegate all our workload to a more efficient proxy that is a million time faster than us and is able to predict a favorable future outcome based on a precise algorithm.

These days our lives are being transformed into data where all our identities, monetary transaction, preferences and much more are smartly pocketed into data packets and stored with billions of other data packets at various sectors.

The need to collect, collate and bear results at one go using these mounds of data is a pivotal part of a digitalized society. With artificial intelligence and machine learning, we can feed these data into machines and programme it to follow structured patterns that bear results instantaneously.


Machine Learning

Machine learning is a subset of artificial intelligence where machines learn to think like humans and make decisions based on experiences. For example, Machine learning programs can extensively learn image patterns and directly match these patterns to another related image using supervised or non-supervised algorithms.

The essence of machine learning is its capability to transform itself into a complex system which can learn to interpret interchangeable data and forecast user-defined outcomes based on a loop of infinite experiences.

Amazon, Google, or Netflix warehouses tons of data, through machine learning this data can be made specific to a particular users preferences (like in the case of having Amazon pop up ads specific to your latest product search results or when ML automatically delegates spam e-mails to your spam folder).

Let us take a look at 3 industries that Machine Learning will disrupt in the near future.



Since the invention of the wheel, technology has always played a huge part in transportation. Infusing machine learning into transport vehicles and other related system opens up a whole new chapter in the annals of transportation, where cars now become smarter and automated.

According to a business insider report, 10 million self-driving cars are set to hit the road by 2020.

Most industry giants like BMW, are already investing tons of money into Machine learning.

Smart cars use sensors embedded into traffic surveillance cameras or other transport facilities to chart the best possible route to take during peak traffic hours.

This continuous influx of interchangeable data allows smart traffic management applications powered by machine learning to automatically guide traffic by instantaneously gathering hordes of information from every connected device.

Cars driven by Bots may transform road safety in the coming years. Imagine being able to cruise to work watching your favorite movie alleviating any tension of road rage to a smarter device.


An analytical platform for deciphering individual diagnostics can gather infinitely more information from varied sources and deliver real-time diagnosis as compared to a doctor’s diagnostic capabilities based on only experience on contextual sources or past subjects.

The healthcare segment as already garnered a lot of momentum by integrating machine learning into their daily activities.

Solutions like IBM’s Watson or Google’s foray into smart healthcare solutions open up a plethora of benefits ranging from automated patient management, better cancer detection and more.

Smart hospitals could become a reality as early as 2020. Imagine being able to venture into a hospital on a scheduled date with all your current health status and previous record readily available at your doctor’s disposal.

Doctors will also be able to come up with a cumulative diagnosis aided by smart virtual assistants that can derive the best diagnosis from analyzing your data and predicting accurate scan results and more.


Most experts believe that wars of the future won’t be fought on the frontiers of our nation’s borders but on the realm of cyber-space.

With the digitization of almost every facet of government, enterprises, banks, and individuals, we are now open to a burgeoning array of vulnerabilities from evolving threats.

Cyber-espionage, cyber-warfare etc pertains to wholesome attacks on a large group of people. For example, It is hard to imagine the chaos if someone hacked into a city’s smart network to manipulate the function of public utilities or defense systems.

They key is to respond quickly to security vulnerabilities, with machine learning you have a predictive analyst that can learn to evolve according to patterns and a convulsion of data.

Machine learning has greatly influenced the way systems can now accurately recognize faces. A simple example is seen in how Facebook automatically tags you into a photo that is uploaded by someone else through facial recognition.


 The limitless possibilities that can come from AI and machine learning are the reason for this massive push for making more machine learning/ AI programs to seamlessly integrate into various aspect of human lives. Most importantly these systems save time and money like never before in human history.

As machines keep replacing human jobs, one field that still requires human intervention will probably be the experts that create machine learning algorithms.

Most IT firms are always on the lookout for ML-based engineers and programmers to drive automation to the next level.

If you have the burning desire to become a machine learning expert. Write to us, we can guide you into selecting the right options in your career pursuits.