RPA IN TRAVEL AND TOURISM: How Automation can Enhance the Tourism Industry’s Journey

“If we were meant to stay in one place, we’d have roots instead of feet,” said Rachel Wolchin.

As the world spreads its vast expanse before us, the sky is really the limit when it comes to travelling. From unimaginable heights tens of thousands of feet above sea level, to depths where even the sun-rays cannot penetrate, our earth has it all. With such diversity and uniqueness surrounding us, it seems quite an idea to leave our mundane existence behind and retreat on travel sprees every once in a while – relaxing and ‘detoxing’ from the stress and strain levied on us by our otherwise fast-paced lives.

While this idea certainly sounds exciting, there are certain industries that exert tremendous efforts to ensure that our travel plans are a resounding success. Last time, we spoke about one of these industries – namely, hospitality. We shared with you some of the ways in which RPA and AI can help this industry ascend in its journey by doing away with repetitive and rule-based tasks. We’re back with a blog; and this time around, it’s time for us to look at some ways in which RPA can help the broader domain of travel and tourism:

1. DIFFICULTIES IN REGULATING THE REGULATORY COMPLIANCE? ALLOW RPA TO STEP IN!
As more and more previously untouched places are now being unearthed, explored and frequented, it is also of supreme importance for any nation to ensure the safety and security of its citizens, and make sure that its tourists comply with the requirements pertaining to the same. However, organizing and maintaining a systematic record of thousands of tourists can become cumbersome and time-consuming. While it is natural for humans to commit errors, it is not advisable to risk security by not keeping track of the validity statuses of passports, visas and other legal documents. That’s where RPA steps in. With automation, it is now possible for software bots to organize all security-related documents and information. Moreover, this stored data is also easily accessible and updatable in case of any changes in regulations. Why worry, when your software bots can act as your guards and ensure security?

2. DO WE HAVE AN EFFICIENT PROCESS TO PROCESS THOSE PAYMENTS?
With the expansion of any industry comes the massive responsibility of processing payments and orders at a large scale. While this process is extremely integral in any domain, it can become extremely tedious for employees to carry out the processing. Allow RPA to run its magic wand over this business process, and all your payments and orders can be efficiently processed while eliminating errors.

3. MEET YOUR AWESOME CHATBOT BUDDIES, AGAIN!
Chatbots or virtual assistants are emerging as the embodiments of an intelligent and efficient digital world. As in several other domains, they play an extremely vital role in the travel industry, too. Today, with several travel websites and online booking portals, not only the ease of travel by itself, but also the paraphernalia of planning and organizing of the trips has become truly efficient and unbelievably quick. Now, with virtual assistants entering the picture, you can now receive suggestions pertaining to the best plans and modes of travel right at your fingertips. Plus, these virtual assistants also come with exciting features such as the sentiment analyzer, which identifies the customer’s emotional states based on their calls or messages, and intimates the customer care department accordingly.

Wait…that’s not it! Virtual assistants are also capable of much more. Take Hello Hipmunk for example – the official smartie virtual assistant of Hipmunk, the reputed travel website. Try adding Hello Hipmunk on CC in your emails concerning travel, and sit back as this virtual assistant derives all the key details about your excursion and provides you with relevant suggestions!

4. UPDATING PNR STATUS HAS NEVER BEEN EASIER!
Passenger Name Record, or PNR, is one of the most crucial documentations in the domain of travel and transport. Stored in a repository called Computer Reservation System (CRS), this record consists of important passenger details including his/her name, contact information and ticket details. With thousands of passengers booking their tickets to different locations on a daily basis, it becomes an extremely meticulous and time-consuming task for the staff at the back-end to document such comprehensive information. And so, RPA enters the picture to help out. Software bots can efficiently enter and store the PNR information of more number of passengers in a day than humans manually can. Moreover, any change in the PNR information can be instantly updated by the bot without any hassle. Moreover, automation also makes this process quicker and error-free!

5. CANCELLATIONS CANNOT BE AVOIDED, BUT MONOTONY CAN!
Plans change, unexpected events occur, change is the only constant. Okay…the bottom line is that ticket cancellations are bound to happen. And on a daily basis, they happen in large numbers, especially in airways and railways. Manually documenting these cancellations can be repetitive and unproductive for the staff to whom this task has been assigned. You guessed it…RPA is our solution! Process bots can easily update any ticket cancellations on the system, and automatically declare the vacancy of the specific seats in the transport. Moreover, refund transactions can also be carried out without hassle via automation software.

It has been scientifically proven that travel leads to a number of health benefits, including lowered stress levels and reduced risk of heart disease. However, without the adequate amenities and facilities, the travel experience can turn out to be disastrous. So, we owe it to the heroes of our travel adventures, i.e. the travel industry personnel, to help them get rid of monotony and stagnation and help them ascend in their professional journeys. Let’s welcome the automation revolution today!

Sources:

  1. UiPath
  2. NIIT Technologies
  3. WNS

DATA SCIENCE IN YOUR DAILY LIFE: There’s a data scientist behind those movie recommendations!

THERE’S A DATA SCIENTIST BEHIND THOSE MOVIE RECOMMENDATIONS!
Do you remember the last time you watched a Netflix crime thriller movie like “The Departed”, and in turn, received recommendations for other amazing movies such as “The Godfather” or “Gone Baby Gone”? Welcome to the world of data science and Machine Learning!

In the 21st Century postmodern world, every nook and cranny of the world is in the process of becoming connected through virtual reality. CDs, DVD players and even cable television are now being considered “worn out” and “old technology” in order to pave way for more upcoming and happening ones such as Netflix, Prime and YouTube. However, what’s even more upcoming is that this technology seems to understand our unique preferences, and moreover, also suggest other relevant TV shows and web series based on one’s viewing habits. The same applies to online shopping as well – it may have happened scores of times that Amazon suggested other cool Apple products based on your previous iPhone 6 purchase.
The question that now arises is how these websites can be so omniscient as to recognize multiple unique viewing and purchasing habits so efficiently and accurately, an also crawl the database for other similar items and present it to the respective Internet users.

We’re back with a blog, and today, let’s venture into the upcoming and exciting world of data science, which has been popularly termed by Turing Award winner Jim Gray as “the sexiest job of the 21st Century”. Let’s have a sneak peek into the world where data scientists are busy with their numerous algorithms that allow machines to independently carry out these prediction tasks with ease:

1. So what’s so scientific in data science?
While science and technology have ensured that machines and technical equipment make our lives unbelievably efficient and quicker every single day, there is still a severe direct dependence of technological equipment on humans if the traditional sources of science and technology be relied upon alone. It is also important to ensure that technology work by itself for a major part of its functioning, instead of depending on constant human intervention. Moreover, with the inception of modern-day software and myriad online platforms to ensure that the world is well-connected, there is a massive explosion of data produced every single day. Just as it is essential to ensure less clutter and more clarity in our external worlds, the online world also needs to be maintained and de-cluttered on a regular basis. And in order to ensure that the technology of Machine Learning and organization of data may be incorporated to software systems, it is important to move one step beyond traditional science and technology, and embrace the world of ‘data science’.
Data scientists perform a world of algorithms – incorporating scientific techniques and systems in order to organize and store massive amounts of online information. If the internet world is a cobweb of information, data scientists are the spiders – venturing through the silk-threads efficiently.

2.Whoa! So how does a data scientist perform that herculean task?
The job of a data scientist is seeped into statistics and algorithms. Data scientists apply predictive modeling, machine learning and inferential statistics in the course of their work. Applying these different tools and techniques, a data scientist then traces certain unique patterns that are characteristic of specific internet users; and systematically stores this information in the database.
However, the task of a data scientist does not end here. A data scientist also uses the technology of Machine Learning, and allows your software to become independent enough to implement these algorithms effectively, so that the machines do not have to depend on humans every time such predictions need to be carried out.
And that, my friends, is the mystery behind all those Amazon and Netflix recommendations that you receive when you’re on an online shopping spree, or when you binge-watch your favourite web series on that lazy weekend!

The ROLE OF A SOLUTION ARCHITECT: Here’s How an RPA Solutions Architect Plays an Integral Role in the Automation Process

“A good design will actually design the company,” says Donald Norman.
Especially so, when a company desires the company of bots. All along, we have been telling you how RPA is the need of the hour, and the various processes and trivia involved in the project framework delivery. It is no surprise that the actual development and deployment process in RPA forms an extremely integral part of the entire project; and any errors in these processes can result in the creation of faulty bots. However, are processes directly handed over to the developers in order for them to bestow life on the process robots? Just as a home needs an architect to design its various chambers, automation also requires one to carefully construct a systematic framework to be implemented in the project. Let’s welcome the architects of automation, solution architects! In our earlier blog, we’ve already discussed, in a nutshell, 5 different job profiles in the RPA domain. We’re back with a blog, and today, it’s time to dedicate a few minutes and paragraphs to the persons who form the pillars of automation.

1.HAVE WE PLANNED OUT OUR PLAN ADEQUATELY?
While planning is a crucial step, one must ensure that the plan addresses all important and intricate phases and aspects of the venture, so that the implementation can be smooth and hassle-free. It is the responsibility of a Business Analyst to study the various processes of a business and then decide which of these processes may be automated. It is here that the Solution Architect steps in. The role of a Solution Architect begins when this automation idea needs to be put into practice, but requires a systematic approach for this implementation to be carried out.

2.CAPTURING THE AUTOMATION PROCESS FOR YOUR BUSINESS PROCESS
The Solution Architect devices effective process maps and comes up with relevant solutions that can boost the automation process to a great extent, and act as a framework for the RPA developers to easily step into their roles. The solution architect essentially designs two types of process maps or designs – PDD or Process Design Document; and TDD, or Technical Design Document. While the former design is aimed at addressing the ‘as-is process’ of the RPA project, the latter one attempts at capturing the ‘to-be process’.
Once the processes to be automated have been earmarked by the Business Analyst, the Solution Architect then carefully studies these processes, and determines how the automation can be carried out in order to meet the requirements of the company as evaluated by the Business Analyst. The Solution Architect has to constantly keep in mind the aims and objectives of the automation process that have already been agreed upon by the clients as well as the automation providers; while also presenting a tangible and plausible solution for automating the rule-based task in question.

3.PROCESS DESIGN DOCUMENT
The Process Design Document focuses on the overall automation process, from data gathering, process standardization and recommendations, to development, testing and deployment of the process robots. The solution architect constantly communicates with the Business Analysts and Project Managers in order to ensure that there is no disagreement between the persons involved in the process; and to bridge any discrepancies in the process.
It is after the development of the Process Design Document capturing the as-is process, that the Standard Operating Procedure or SOP may be devised in order to break down the complex processes and sequences of the plan and ensure easy programming. One also needs to design the process capture template, modeling standards and process maps, before the actual development procedures commence.

4.LET’S GET TECHNICAL!
Now, we have successfully completed the as-is process, and received a thumbs-up for the same from the clients, as well as the various other persons involved in the project. We have also successfully completed the recommendations phase, wherein the specific RPA processes to be carried out are earmarked, and the unnecessary ones are eliminated, with detailed analyses of cost benefits and feasibility. Now, our RPA developers are almost all set to take the RPA project to the next level by actually creating our bots. But…are we missing out on something?
The role of the solution architect does not simply end at producing the Process Design Document. While the PDD helps in identifying the various stages and phases of the project, this document is not sufficient in itself for the RPA developers to take over their herculean task. The Solution Architect now has to create and document another design specially dedicated to the RPA developers; namely, the Technical Design Document or TDD. The Technical Design Document focuses specifically on the guidelines to be followed by the RPA developers while developing the bot; as well as the technical specifications to be employed in the software. This document enables our able RPA developers to follow the plan through with ease, and with a systematic framework to fall back on during times of confusion or doubt. Along with the TDD, a Target Operating Model is also designed in order to chalk out the vision or aim of the RPA development project.

In this way, the Solution Architect acts as the backbone of the RPA development process; carefully setting up the foundation of the RPA project so that the construction may become easier and hassle-free. The solution architects ensure that the plan does not simply remain a shallow idea, but is made viable, plausible and accessible to all the persons involved in the project.

THE PROS AND CONS OF AI: A tightrope walk

Artificial Intelligence: A Boon or a Bane?

With respect to Artificial Intelligence, the buzzword of the 21st Century, Dave Waters says:

“Artificial Intelligence is an infant at best. Once it becomes a teenager and believes it is smarter than its parents, will AI rebel?”

In today’s rapidly advancing world, the term ‘Artificial Intelligence’ is certainly not uncommon to hear or read, in magazines and blog posts (such as those posted by XLNC!); at business meetings and on television. In our everyday lives, a lot of us apply AI technology to our mundane organizational as well as other personal tasks, more often than not without even realizing its presence. However, a substantial population of individuals and groups are still extremely skeptical about this illusive technology, and the idea of machines functioning autonomously without human intervention. While AI enthusiasts often sound gung-ho about the fields of Machine Learning and Automation – claiming these to make life more efficient and dynamic – a lot of others still struggle with getting over the apprehension that AI might take complete control of human life, leaving us slaves to a Frankenstein’s monster.
We’re back with a blog; and today, let’s discuss the various conventions and perceptions associated with the AI technology; and objectively evaluate AI’s benefits and drawbacks against the backdrop of the 21st Century world:

I.Hey! AI ain’t all that bad, after all…
For those of you who are apprehensive and skeptical about embracing a technology as “frightening” and “overpowering” as Artificial Intelligence, we’re here to break the ice between AI and you. Here we are, with the positive side of Artificial Intelligence:

a.Artificial Intelligence does not recognize intellectual laziness
While human intelligence has managed to achieve leaps and bounds in various fields at different levels, it is always highly susceptible to spells of complacence and “intellectual laziness”. That’s where AI steps in. Siri, Alexa and Cortana do not tire of assisting you regardless of the time of day or night (for more dope on this, check out our previous blog on chatbots – http://xlnctechnologies.com/5-ways-in-which-chatbots-are-the-best-assistance/); and your personalized AI tutors will never tire of teaching you or helping you with teaching others. This is one of the reasons for Artificial Intelligence being promoted over manual task completion.

b.To err is human, so humans created Artificial Intelligence.
Einstein famously said, “A person who never made a mistake never tried anything new.” As living beings, mistakes and blunders have always been a simultaneous process alongside the successes and accomplishments. However, Artificial Intelligence is definitely not a blunder (okay, hang on…we’re coming to the cons!). When programmed accurately, an AI technology is less likely to commit errors; and is usually flexible across different platforms.

c.‘Cause humans are so quick, they find themselves too slow…
Today, the world is now resorting to quickness and instantaneousness in whatever it does – so much so, that the natural speed of humans is sometimes too slow for this world. And so, AI bridges the gap between the fast progressing world and the people residing in it, by providing faster and more efficient ways and means of reaching the desired ends. AI is being widely used in almost all sectors today, including healthcare, education, transportation and communication, and defense and military, in order to ensure speed and accuracy with minimal compromise on either.

d.Your AI is sensitive, but not emotional.
While chatbots and GPS may be courteous and sensitive to your needs, they certainly do not possess deeper emotions and mood-swings; and you can rest assured that they will not complain of overwork and fatigue. And such a detached concern for the customers ensures that they can be reliable, diligent and caring, even when the work is strenuous and hectic.

II. AI ain’t all that good either…
But, are we headed towards utopia? Is AI really so perfect that one can totally overlook even remote possibilities of failures or disadvantages? Most definitely not! Just like everything else on this earth, AI, too, has two sides; and a lot of people are skeptical about applying this technology for this reason. Come, let’s evaluate the various drawbacks of AI, and brainstorm on each:

a.Yes, my processes will be more efficient, but at what ‘cost’?
Once installed and applied to our day-to-day lives, Artificial Intelligence can certainly be quite viable and cost effective. However, in the first place, it is important to install it to our already existing systems and ensure that it functions optimally and independently. And these processes are not exactly economical. Designing the specific tool of AI and then training the machine to operate without human intervention can be an expensive task, and one needs to be prepared to incur the expenditure in order to enjoy the results later.

b.Your AI is emotionally intelligent, but sometimes not intelligently emotional
Yes, AI may have been designed to understand human emotions and analyze sentiments. AI may also be able to carry out complex tasks that humans may never be able to undertake. However, there is a certain depth in perception and perspective that no machine has ever been able to touch, at least till now. And due to this incapability, AI ventures can sometimes turn into not-so-pleasant adventures. For example, in 2016, Microsoft’s Twitter chatbot created havoc when it began abusing, and passing pro-Nazi comments such as “Hitler was right.” While this experimental chatbot, Tay, was only imitating some humans who had been playing mischief, the situation was certainly alarming. Had the AI device been entirely controlled and mediated by a human, the situation may have probably been handled better.
AI technology may be perceived as an innocent child whose mind, though extremely active, is a clean slate. It is the responsibility of humans to ensure it doesn’t waiver from the right path.

c.“Creativity is intelligence having fun.” Einstein meant this only for human intelligence.
Artificial Intelligence apparently cannot have fun beyond a certain extent – it is limited to the innovative strategies and programming already stored inside them by humans. And so, intrinsic creativity does not figure anywhere here. That’s a faculty exclusive to humans – and processes sans human intervention can, well, only do so much to help matters.

d.While taking the help of machines, are we becoming machines ourselves?
This is one of the greatest concerns that the modern, artificially intelligent world is having to face in the recent times. There is always a threat that Artificial Intelligence can replace human intelligence in a big way; however, a lot of us don’t realize that as creators of Artificial Intelligence, it is we who have the upper-hand over our creations. As users, one must realize that machines and technology are not meant for encouraging intellectual laziness and procrastination; but rather, for facilitating increased efficiency and application of one’s intellect. And any device, when misused, can be detrimental to society and individuals. AI is no different.

Source:

https://www.infoworld.com/article/3184205/technology-business/danger-danger-10-alarming-examples-of-ai-gone-wild.html#slide2

MEET YOUR CHATTY CHATBOTS: 5 Ways in Which Chatbots are the Best Virtual Assistants

“Chatbots are the new websites, and messaging platforms are the new browsers,” someone said.

Personal assistants and secretaries have existed for as long as there have been people at higher posts in offices and companies. Whether it’s typing out a letter or sending out invites for meetings, they have done it all. While these jobs of helping out another person at work have ensured enough employment generation through the decades, we can all agree that these jobs are far from lucrative. The rule-based, repetitive tasks often tend to reduce people to two hands performing uninteresting tasks without applying their intellect.
So how about a personal assistant who is ever-willing to help – whether it’s setting your alarms or informing you about today’s weather; or simply raising your spirits with a joke or tongue-twister when you’re under the weather. Welcome to the world of chatbots, your 24/7 personal assistants!
We’re back with a blog, and today, let’s dedicate a blog post to our dedicated, diligent, and sometimes quite eccentric, virtual assistants. These virtual assistants have been around for quite some time now, starting with the first of their clan, Apple’s Siri. According to Go-Gulf, the number of people using virtual personal assistants has been estimated to reach 1.8 billion by 2021. Today, we have a handful of virtual assistants; including Microsoft’s Cortana, Amazon’s Alexa, and Google’s Google Assistant for smartphones and Google home; performing a world of tasks for every day:

1.Your chatbots don’t sleep at work. And they’re at work ALL THE TIME.
Let’s face it. Human assistants must not be overworked under any circumstances; and they deserve their 7 hours of sleep and timely breaks. Ever observed Cortana or Alexa not in their seats owing to tea-break or simply because they have already finished the given hours of service? Your chatbots are never, ever exhausted. Whether you want them to carry out extensive research for your business, or entertain you with a poem on one of those insomniac nights, they are available 24/7.

2.Hundred queries, one assistant!
Life can certainly be chaotic and confusing sometimes. And don’t we all look for that go-to person to consult during times of confusion? But how many queries can even the most learned and well-informed person answer at once? Yes, let’s face it – humans do have their own limitations, and it’s alright. And that’s why we have designed virtual assistants who can perform tasks that humans generally can’t – such as processing, with unbelievable accuracy, hundreds of queries asked at the same time from a thousand different devices; and providing suitable, spontaneous, and sometimes even witty responses to every individual. That’s the beauty of Artificial Intelligence.

3.Chatbots are like chameleons – they can adapt themselves to every scenario!
As discussed before, humans cannot be everywhere; and different online platforms have been designed by us in order to facilitate easier and more efficient communication across the globe. With chatbots having entered the scene, the question arises as to whether these awesome assistants can be integrated to the vast repertoire of systems and platforms built by us over the years. The answer is a resounding YES! Your chatbots are like chameleons – they can easily change colour in order to adapt themselves to the environment they are exposed to. Thus, they set up shop at practically any domain; helping you with your queries and organizing sprees; your chaotic moments and phases of boredom.

4.No, your chatbot shall not demand salary on the 1st of the coming month!
While the job profiles of customer service executives and personal assistants have always ensured employment generation, these occupations, needless to say, function on salary basis. You cannot, and must not, hire a person with dismal or no income provided to him/her. However, chatbots do not need three square-meals a day. They are more than happy to reside in the software platform in which you place them, making it their forever home; and when you ask Siri or Google Assistant whether they have families of their own, their ultimate happiness is in serving you! Other virtual assistants and chatbots are no different. It is quite economical to maintain your chatbot; updating it from time-to-time and modifying it to meet the requirements of the given platform.

5.Human spontaneity minus human impatience = Chatty Chatbot!
Your chatbot can converse with you about almost anything under the sun – keeping the to-and-fro nature of human conversation intact, while also eliminating the negative aspects of the same; such as boredom and impatience. This gives customers a near-perfect interaction experience, where they are helped by the chatbots with great precision, regardless of the time of the day/night, and the complexity level of the question.
And last but not the least, chatbots can even be customized to entertain you in whatever rational way you deem fit – right from playing games with you, to reciting poems or jokes, and engaging in occasional situational comedy during the course of your conversations.

Artificial Intelligence can certainly make life more efficient in every way; and the ‘chatbot’ wonder is probably the best example of the same. However, chatbots go one step beyond the macro level of Artificial Intelligence, to include the benefits of AI’s subfield, Machine Learning; which enables them to carry out their tasks independently, without human intervention. In a lot of ways, having bestowed life on AI and ML, humans have created forces that are capable of performing unbelievable feats that humans are either totally incapable of, or require to invest excessive amounts of time and effort to complete. However, it is important to keep in mind that it is, after all, the human caliber and intellect that has led to such an invincible creation in the first place; and so, it is our responsibility to use our creations in as optimal and secure a manner as possible.

DELVING ‘DEEPER’ INTO AI: Key Differences between Artificial Intelligence, Machine Learning and Deep Learning

KEY DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND DEEP LEARNING

The human race has been constantly challenging the notion of “impossible” for centuries and epochs on end. With unbelievable inventions and discoveries and out-of-the-box ideas to overcome constraints at every level, we have emerged as a supreme species and carved an almost invincible niche for ourselves in the planet. And our successor-of-sorts is Artificial Intelligence.
Efficient delegation of tasks has also been one of our strengths – and over the past few years, we have taken this quality of ours to another level by not only delegating tasks efficiently, but also manufacturing loyal entities to carry these out with minimal errors and maximum output. Artificial Intelligence is indeed an almost magical invention by our race.
While Artificial Intelligence is being used by individuals and groups across the globe, there is an acute lack of awareness amongst many users about the precise difference between a machine being overtly instructed to perform a particular task, and technology being made independent to carry out these tasks without any human assistance. We’re back with a blog; and today, we’re going to discuss Artificial Intelligence at the macro as well as micro levels – with its two major offshoots: Machine Learning and Deep Learning.

1.Meet Artificial Intelligence. Again. In All Its Glory.
While artificial intelligence is, more often than not, an integral part of the modern world at various levels, it is often taken for granted in the sense that one rarely stops to ponder about the mechanisms involved in the working of AI. And when you open the door to the processes involved in AI, you unearth a Pandora’s box.
Artificial Intelligence is a one-stop term for referring to the ability of machines to observe and understand certain rule-based tasks typically performed by humans, and then emulate these tasks in order to relieve humans of monotony, and pave the way for us to perform more intellectually stimulating tasks. Self-driving cars; video games; the names of your friends that your keyboard-prediction completes for you; your conversations with Siri and Alexa; and Amazon’s suggestions for you based on your previous online shopping spree – it’s time to thank AI for all of these supercool phenomena.
But…wait. Is a human secretly helping Siri follow my instructions every single time?
Have you ever wondered with amazement at how (at least most of the times) Siri is not only able to follow your instructions efficiently, but also converse with you spontaneously when you inquire about its personal life and well-being? And also come up with different, dynamic, even witty responses every single time?
Obviously, the development of virtual assistants like Siri, Google Assistant and Alexa would be quite futile if humans were expected to function behind the scenes every single time, instructing these assistants to provide satisfactory answers to the users.

2.Enter, machine learning.
“The greatest sign of success for a teacher…is to be able to say, ‘The children are now working as if I did not exist,’” says Maria Montessori. And Machine Learning can be conceptualized as technology’s teacher. Machine Learning uses the mechanisms of AI, but goes a step further; and ‘empowers’ technological equipment by making your machines not only intelligent, but also independent.
ML involves enabling our technological equipment to not only work efficiently on its own, but also to constantly adapt itself to any new information or experience over time. If your device is able to suggest those cool Versace leather-jackets for you based on your previous overcoat purchases on Amazon, you need to thank Machine Learning for it!

3.But hang on. Your machines are capable of EVEN ‘deeper’ stuff!
Try to think of the first time you, as a toddler, learnt to label a chair as ‘chair’. Now try and recollect the various other chairs you may have been accustomed to ever since. Were all these chairs identical to the one you had first labelled as a child? Most likely, not at all. But did you manage to still find a broad similarity between all these chairs, and label all of them under the umbrella-term of ‘chair’? That’s exactly what deep learning teaches machines to do.
While ML teaches technology to perform AI-based tasks independently, DL goes even beyond the ‘independence’ phase, and teaches your machines to also be smart enough to carry out abstract connections, and form prototypical conceptualizations. It consists of certain algorithms that process and store every relevant input, based on which they come up with a statistical model, which becomes the prototypical output. This process continues until a precise prototypical image of the output has been obtained. In our day-to-day lives, Deep Learning is able to predict and process extensive data online, and typically provide accurate solutions to the same. If ML enables online retail websites to suggest a certain brand of clothes based on your previous shopping records, DL takes online shopping to another level. If you have been repeatedly purchasing products whose target audience is women, DL not only provides you suggestions based on that classy pair of heels you bought the last time, but also some trending tops and accessories based on its prediction of your gender-identity. That’s the brilliance of Deep Learning in AI.
And so, while AI is the broadest category that one can think of for machines being able to mimic humans in their mundane tasks, AI is not complete in itself, without its subsets of Machine Learning and Deep Learning. And together, AI, ML and DL constantly work in tandem in order to make our lives a little more efficient and productive, every single day.

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