Artificial Intelligence isn’t a novelty, but redefining mundane activities as we know it. Connected devices are becoming more intelligent, thanks to the constant flow of user data, making AI a highly perceptive, intuitive and intriguing piece of technology. And it appears to be that imagination is the limit with AI – everyday, companies are finding newer ways to make AI a part of our everyday life.
At the recently-held AI for Good award ceremony, an exclusive panel discussion on AI in Everyday Life was conducted. The session was attended by Sameer Dhanrajani, Chief Strategy Officer of Fractal Analytics; Manish Jain, Partner – Digital Consulting, Fintech & Blockchain, KPMG India; Andrew Fleming, British Deputy High Commissioner to Telangana and Andhra Pradesh; and Dr. Vidyadhar Mudkavi, of the CSIR Fourth Paradigm Institute, and moderated by Sanjeev Malhotra, CEO, NASSCOM Center of Excellence.
The panel discussion witnessed a comprehensive attendance – Mr. Gaurav Gupta, IAS and Principal Secretary for IT, BT and ST, Government of Karnataka, Alok Saigal, Partner & Global Delivery Leader, Grant Thornton and Fatema Hunaid, Partner, Grant Thornton, in addition to the winners of the AI for Good Award.
AI Needs Data – Is India Providing Enough Data For AI To Work Well?
One of the most pertinent points brought out in the panel was the availability of data. Open data remains a challenge in India’s furthermost corners, most of which are yet to receive steady and reliable Internet service. While the launch of Jio and its data services have certainly amplified Internet literacy in India, there still needs to be a lot more done to generate data that can lead to identifying precisely the issues that ail the common man.
The greater availability of data will enable digital inclusion. Moreover, a strong practice of crowdsourcing could very well be the answer to India’s AI conundrum. For instance, utilizing and building a model similar to KAGGLE would be an efficient manner to tap into India’s vast resources for crowd sourcing.
Is AI Enabling Decision Making?
This has already begun, believe the experts, and will soon become an industry norm. Businesses are pivoting to an AI-led, algorithm-based augmented style of decision-making – most notably to rule out human bias and reduce time taken to take critical decisions.
The simple rule of thumb with AI is – more the data, more accurate the results. Large enterprises have inundated with data, and this can set the paradigm for AI-driven decision making. In isolation, data has little meaning, but today, enterprises are extensively harnessing data processing experts to identify patterns, trends, behaviours – all culminating into the widely discussed term “actionable insights” to provide new direction to businesses and redefine their position as a leader in an industry.
Soon, AI will be the core technology responsible for making companies more intuitive and prescriptive in nature.
While the private domain is utilizing its gold mine of data for better decision making, where this tactic can really work is in the public domain. Areas like healthcare, public governance, judiciary and infrastructure are among several, which can hugely benefit from data analysis and decision-making.
Countries like UK are already using AI tools for public good – be it for booking doctor’s appointments, availing public transport services, getting information about the weather and so much more. While the quality of innovation being seen in cities like Bangalore and Hyderabad is advanced, it’s the challenges at the grassroot level, which can be addressed very effectively using technology.
Consent-Based Architecture For Responsible Data Use
One of the most prolific and impactful technology offerings is UIDAI. With the goal to issue a unique identification number or Aadhaar to every Indian, UIDAI opened up a plethora of opportunities for startups and enterprises to develop schemes for the benefit of Indians. With Aadhaar being linked to multiple databases, the availability of data has opened infinitely. However, there has been considerable debate over the nature of data protection, not only in India but globally. India, which has entered the data science race fairly recently, still has time to establish norms and guidelines to use data for constructive purposes. There is a growing momentum from the industry to introduce a framework for consent-based architecture around data collection and consequent analysis for various platforms. UK is among the few countries in the world that has a robust data protection system in place – something countries like India can adopt.
Building A Mature AI policy For India
India is among the 28 countries working on drafting a nationwide policy on Artificial Intelligence. This requires a cohesive and collaborative approach by India’s leading enterprises, industry bodies like NASSCOM, policy makers and innovators. Even now, several challenges exist in building and scaling AI solutions for industry use, and policy makers have a critical role to play. By understanding the ecosystem’s needs and the technology’s demands to thrive, India can create a conducive environment for long-term innovation.
This panel was conducted during the AI For Good award ceremony, conducted on May 25th at the Conrad Hotel, Bangalore.