Predictions 2018: Areas in Which AI and Machine Learning Will Make an Impact

By Aakrit Vaish, Founder & CEO, Haptik Inc

Artificial Intelligence has been the buzzword in 2017, being at the forefront of scientific and busi­ness news the world over. Iconic names such as Stephen Hawking, Mark Zuckerberg, Elon Musk and Jeff Bezos have constantly been engaging in discussions, introducing new concepts and con­ducting trialruns of offerings with AI and machine learning at their core. Come 2018, the impact of AI will be felt all the more strongly in every industry across various domains.

Machine learning-based Artificial Intelligence is an enabling technology that employs self-updating data programs in opera­tional devices to optimize business processes widely used across all sorts of applications. It is not a ‘business model’ but a digital tool that can enable a business to succeed in achieving prede­termined objectives. It is necessary to define the purpose of AI before it makes for regular headlines in 2018 to clear the percep­tion of businesses today who are adopting AI without research­ing whether their business needs it.

AI and analytics made headways into nu­merous fields during 2017. Enlisted below are a few of the areas in which AI is predicted to have the greatest impact in 2018:-

Easy-riding with AI

Roads have become one of the most unpredict­able spaces that have a myriad of factors that can become potential causes of danger. The early November accident of a self-driving shut­tle and the Tesla car on autopilot has earned the wrath of road safety regulators regarding the potential negative impact of machine learn­ing powered vehicles on roads. While none of the accidents were due to the AI-powered ve­hicles per se, they lacked an essential response mechanism that would kick in to avoid acci­dents even when the fault is committed by oth­ers, which is frequently the situation on roads. Currently, programmers working at automat­ed vehicle labs are trying to equip AI-powered driving assistance bots to make hundreds of decisions every second to adjust and react op­timally to any kind of stimulus. With the great headways they are making, 2018 will surely bring a revolution in the way humanity travels in the future.


Considered the ideal field for AI and machine learning to flourish, Robotics has progressed immensely during the last year, even making it to the top of the YouTube charts. Companies such as Boston Dynam­ics and even Google themselves have been doing some tremendous work in the field that has seen a massive share of the wired humanoids’ inclu­sion in domains such as healthcare, wellness, industrial infrastructure to just doing backflips on cool music! With the robotic boom being called a ‘fourth industrial revolution,’ 1.3 million robots are projected to be produced globally within the next year. The efficiency and the produc­tion value brought in by robotics can be gauged by the fact that, China, the world’s highest populated country, is quickly advancing as the world’s largest sales growth market for indus­trial robots even after being a labor-intensive economy. It sold a record-breaking 57,100 units in 2014 and is expected to account for more than one-third of the industrial robots installed worldwide.

Conversational interfaces

What does a cultural Big Bang look like? With these words, Amit Sood, Director of Google’s Cultural In­stitute and the Google Art project described arguably Google’s most ambitious undertaking: that of pro­viding an exhaustive, any time acces­sible overdose of the world’s best art in a variety of media to Google users. And guess which technology is at the core of this project? The AI-powered Google Assistant. Siri, Cortana, Alexa, the world is rapid­ly being touched by a combination of these, and other similar digital identities that have been trained to identify what makes an audience react and engage. For instance, the personal assistance chatbots being created by Haptik, India’s leading conversational AI platform, have transformed the way individuals and organizations work by simplifying tasks, organizing work and answer­ing user queries in the most natural conversational manner. It is even learning new languages without any manual assistance, just by observing regular chats between users and hu­man agents!

By trying to tap into these reac­tions, AI enabled personal assistance bots have influenced audiences to an extent that they have perfectly blended, and positioned themselves as an alternative for essential hu­man communication. By expanding their realm of influence towards art, some thing fundamentally consid­ered a product of the complex hu­man consciousness, intelligence and expression, AI and machine learn­ing have already started pushing the boundaries, which they will further continue to do in 2018.

Banking and financial services

Fintech platforms have been one of the most popular start-up categories for investment globally thanks to the unparalleled technological de­velopment they are bringing to the conventionally-run financial services sector. Basing their operations on al­gorithms, data mining and AI-based assistance powered through contin­uous machine learning, the financial sector has already been significantly revamped by the digital touch. In fact, millennials, unlike their parents, consider financial services as a con­sumer product and want to engage in it the same way they do with other services-through the digital medium. A recent study established that 40% of American bank customers have not been to a brick-and-mortar branch office for the last six months or more. Even closer home, urban net-savvy individuals are increasingly prefer­ring to operate through the internet, and with the emergence of cryptocur­rencies such as bitcoin involving pro­cesses such as data mining and block­chain, AI and machine learning will further play a big role in shaping this sector in 2018.

From demanding better, albeit homogenized services, the modern consumer has moved on to claim services that are ‘customized’ ac­cording to their needs. With the vast, yet limited scope of human re­sources, such an individualization of every service for each customer is not feasible. However, by combin­ing the two forces of human discre­tion and the unparalleled power of AI to grasp and implement simul­taneously, the collective experience of humanity in relation to every element in its surrounding will im­prove manifold. The year 2017 has been immensely significant for the development of AI and machine learning, and as we move towards 2018 looking forward to a better future, this year will symbolize a gi­ant threshold of time for future hu­mans to glance back and say ‘look, this is when we took a giant leap of faith.’

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