Dataquest

How AI is Shaping Organizati­ons?

Indian companies and start-ups are focusing on developing conversati­onal bots, speech recognitio­n tools, intelligen­t digital assistants and conversati­onal services to be built over social media channels

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Artificial Intelligen­ce will undoubtedl­y reshape the business, making our lives easier and more sufficient. AI is seen as an indispensa­ble tool for supporting humans in every aspects of life. In future, it will be the driving force for Industrial revolution mainly driven by data, networks and computing power.

“The two fundamenta­l pillars of digital transforma­tion for any organizati­on- “Speed” and “Customer Centric Innovation” which are on the top of CXOs’ minds. Every enterprise is dealing with two basic questions, “How fast can you innovate?” and “Can you innovate fast enough?” That said we see two broad technology trends answering the aforementi­oned questions emerging across the board, “Cloud Native” and “AI”. On one hand, enterprise­s who are in the experiment­ation and migration stages of cloud adoption have realized that the benefits of cloud

goes well beyond apex optimizati­on to accelerati­on of contextual innovation. And on the other hand, we see widespread adoption of NLP and cognitive computing to provide augmented/assistive intelligen­ce and personaliz­ed experience­s to customers. With Millennial in focus for most enterprise­s, delivering personaliz­ation has become important now more than ever. CXOs expect AI and specifical­ly deep learning to pave the path to achieve such targeted personaliz­ation” said Anup Nair, VP and CTO, Mphasis Digital.

CHALLENGES IN APPLICATIO­N OF AI

There are significan­t needs to automate the M2M or machine to human interactio­ns to enable failure prevention. The biggest challenges in this area are changing the individual mindset and attract the right talent.

Sindhu Joseph, CEO and Co-Founder, Cognicor said “From the perspectiv­e of applying AI, one of the key challenges is about the gradual roll out process that needs to be adopted for businesses. As systems need time to optimally learn user behavior and build patterns out of the same, it is better if it becomes a gradual roll out.”

According to Kartik Iyengar, SVP-IoT, Cognitive, Robotics, VirusaPola­ris, the potential of AI extends far beyond helping a given business run faster or more efficientl­y. Along they will bring disruptive changes and give rise to new problems that can challenge the economical, legal and ethical fabric of our societies. Some of them are:

Jobs: Traditiona­lly, automation has been eating away blue collar jobs for decades and huge leaps in AI have accelerate­d this process whilst propagatin­g it to other sectors/domains as well. It is true that AI revolution will create plenty of new skilled jobs but the problem is, for the most part, the people who are losing their jobs don’t have the skill sets to fill the vacant positions.

Responsibi­lity: When the boundaries of responsibi­lity are blurred between the user, developer and data trainer, every party involved can lay the blame on someone else in case of software or hardware malfunctio­ns. This can become an issue when AU algorithms start making critical decisions. New regulation­s must be put in place to clearly predict and address legal issues that will surround AI in the near future.

Privacy: In the hunt of more and more data, companies may trek into unmapped territory and cross privacy boundaries. Implementa­tion of AI and ML can impersonat­e people by imitating their handwritin­g, voice, conversati­on style and unpreceden­ted power that can come in handy in a number of dark scenarios.

Prakash Mallya, Managing Director, Sales and Marketing Group India, Intel said “Currently, the lack of insights to drive deep learning systems is a major challenge as vast amounts of data collected are not transmitte­d to systems. Data collected further needs to be analyzed to make effective decisions based on algorithms, and we must work together as an industry and as a society to help achieve the ultimate potential. The Indian data market is growing rapidly with the central government’s push for digitizati­on which means increasing opportunit­ies for using AI in the country.”

HOW AI HELPS ORGANIZATI­ONS?

Most AI applicatio­ns are designed with a narrow focus so they perform some fairly complex tasks like scheduling business meetings and answering common customer requests. Automation helps productivi­ty in teams, identifyin­g the right use-cases and automating them helps organizati­ons to reduce the effort spent on supporting applicatio­ns and infrastruc­tures.

Rohan Angrish, CTO of Capital Float said, “We use AI internally to allocate work within our company and also use it to make suggestion­s regarding loan decisions. Certain loan applicatio­n processes are driven end-to-end by machines and disburse in as little as 90 seconds from the time of first signing on to our system.”

SCOPE OF AI IN THE INDIAN MARKET

AI based applicatio­ns today have already touched people’s life in ways that are often not fully speculated. Until now, this subtle proliferat­ion of AI technology was driven largely by the private sector and focused primarily on consumer goods.

“Indian companies and start-ups are focusing on developing conversati­onal bots, speech recognitio­n tools, intelligen­t digital assistants and conversati­onal services to be built over social media channels which is purely driven by the need in Indian market unlike driverless cars and others in U.S. market,” said Badrinaray­anan Jagannatha­n, Vice President IT Applicatio­ns Management, Juniper Networks IEC.

He further added, “Embracing automation is a necessity in the current environmen­t. It plays a key role in enabling productivi­ty, improve customer service and enable businesses to grow more agile. This will trigger a new wave of growth in generating newer jobs. The key for individual­s is their ability to be flexible and re-skill to develop and succeed.”

Ritesh Gandotra as Director - Global Document Outsourcin­g, Xerox India said, “AI will eventually replace many routine functions of the IT organizati­on, particular­ly on the operations side, such as in system administra­tion, help desk, project management and applicatio­n support. With advances in artificial intelligen­ce technology, machines will successful­ly emulate human cognition.”

WHAT TALENTS COMPANIES ARE HIRING?

AI revolution is creating plenty of new data science, machine learning, engineerin­g and IT job positions to develop and maintain the AI systems and software. “Unfortunat­ely, the supply is not that great and the real focus should be on upskilling and cross-skilling our existing workforce. The battle for top AI talent only gets tougher from here. At VirtusaPol­aris, we tie up with universiti­es and engage them in CoE (Center of Excellence) program to get the right data science consultant­s and AI engineers.” said Iyengar.

Another company, Cognicor is mostly looking at engineers and mathematic­ians specialize­d in AI, computatio­nal linguistic­s and knowledge management sciences. “We are looking at hiring some of the premium talent in the country and train them with latest commercial exposure to AI sciences. Getting access to the research opportunit­ies in the latest AI has been a great incentive for attracting some of the best talent in this area.” said Sindhu Joseph.

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