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Integrating AI with Data

As newer technology comes into effect it is often seen as a threat to what was ‘in vogue’ before. When the dotcom boom was happening in the late 90’s, it was often said that the print media, namely the newspapers would soon become extinct but that was not to be, and today, the two continue to coexist. The use of AI is becoming widespread across sectors from healthcare to luxury and beyond, and it is often seen as something which is here to replace human workforce. This may be true to an extent but as we march towards tech-led workspaces we need to look at AI with a broader perspective to be able to see and gain from its collaborative side. In order to integrate AI into their current framework, it is important that organizations undergo a careful and well-thought restructuring of their modus operandi. Businesses need to look at AI beyond treating it as a means to cut expenses. Sure, you will be able to optimise your workforce and cut costs, but the major gains from AI come from massive increase in overall profitability of the business, better output, as well as staying relevant with the changing times.

To make the best of big data and AI, businesses need to marry the two. Business planning, investment, and operations are often seen making use of the ability of analytics to their advantage. Application of decision-making backed by big data is incorporated at all levels of a business, which brings us to the big question of how to move ahead with the tech at hand.

Access to big data is fairly easy today along with its storage and processing. It is much in demand, and hence warrants some improvisation for faster processing and delivery. AI may not yet have full decision-making power but the data it yields can have a massive impact on how businesses operate. Thus AI shouldn’t just be seen as a way to cut expenses but as an effective means to improvise current human jobs. But it is Machine Learning which harnesses the big potential of AI by creating stronger algorithms with each new input it receives and continuously becoming more and more efficient. ML helps the AI apps in deciphering the greater scope of the existing norms, thus getting us a better hold of the issues being faced currently. For example, no matter how advanced the algorithms for customer service bots become, there will be conversations and scenarios wherein only human intervention can solve the issue at hand. AI and humans will thus continue their interdependence, even though the extent may diminish, the boundaries will not blur. A collaborative course is the way forward as we see it.

At Infinite Analytics it is our endeavor to continuously help businesses incorporate a strategy for AI that will help in reaching the right consumers along with an increase in profitability.

In case you want to know more about Integrating AI with Data, do drop in a note to us at [email protected]

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wasim basir

marketing, board member

It’s most obvious in the digital media space, from click buys to personalized web experiences. For marketing, the AI journey has just kick-started, while in the tech sector it has been applied for a while now. We are still at an early stage where inroads are being made into AI content via chatbots and even some explanatory content creation but what will make anyone jump up and embrace it is when we will start seeing a lot of mainstream content being created by AI.

rich arnold

board member

Prior to joining Infinite Analytics, Richard served as the CFO of CrowdFlower, COO and CFO of Phoenix Technologies, as a member of the board of directors and chairman of the Audit Committee at Intellisync, and previously as CFO and executive vice president strategy and corporate development at Charles Schwab.

pravin gandhi

board member

Pravin Gandhi has over 50 years of entrepreneurial operational and investing experience in the IT industry in India. He was a founding partner of the first early stage fund India - INFINITY. Subsequently a founding partner in Seedfund I & II. With over 18 years of investing experience, he is extensively well networked in investment and entrepreneurial scene and is an active early stage angel investor in tech & impact space. Pravin holds a BS in Industrial Engineering from Cornell University, and serves on the board of several private corporations in India. He is on the board of SINE, IIT Mumbai Incubator.

Purushotham Botla

co-founder & cto

Puru has his Masters in Engineering and Management from MIT. Prior to MIT, he worked with Fidelity Investments building electronic trading products and high volume market data processing applications. He has completed his BE from VJTI, Mumbai.


Deb Roy

Executive Director, MIT Media Lab

Deb Roy is Professor of Media Arts and Sciences at MIT where he directs the MIT Center for Constructive Communication, and a Visiting Professor at Harvard Law School. He leads research in applied machine learning and human-machine interaction with applications in designing systems for learning and constructive dialogue, and for mapping and analyzing large scale media ecosystems. Deb is also co-founder and Chair of Cortico, a nonprofit social technology company that develops and operates the Local Voices Network to surface underheard voices and bridge divides.

Roy served as Executive Director of the MIT Media Lab from 2019-2021. He was co-founder and CEO of Bluefin Labs, a media analytics company that analyzed the interactions between television and social media at scale. Bluefin was acquired by Twitter in 2013, Twitter’s largest acquisition of the time. From 2013-2017 Roy served as Twitter’s Chief Media Scientist.

Erik Brynjolfsson

Board Member

Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He also is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), Professor by Courtesy at the Stanford Graduate School of Business and Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER).

Akash Bhatia

Co-Founder and CEO

Akash co-founded IA while studying for his MBA from MIT. Prior to MIT Sloan, he co-founded Zoonga. Before this, Akash was an engineer with Oracle in Silicon Valley. He has completed his M.S from University of Cincinnati and B.E from the College of Engineering, Pune.