Yaagneshwaran Ganesh (often called as "Yaag") is among the top 100 global martech influencers, and is responsible for the growth and product adoption for Freshchat, a customer engagement platform powering live chats and conversational marketing across industries. He is also a TEDx speaker, a member of Forbes Council and author of 5 books, with the latest one titled “Syncfluence”. He has been a speaker across business forums such as CII Young Indians, Chamber of Commerce Netherlands, Kerala Startup Mission (Initiative by Govt of Kerala), and academic institutions such as IITs, Saxion University of Applied Sciences and more. He is an active member of the startup ecosystem and is part of the Google for Entrepreneurs initiative "Startup Weekend", thus being a sounding board for startups in APAC and Europe. Yaag also writes columns for HuffingtonPost, Forbes, Martech Series, Martech Advisor, dtNEXT, Techstory, ManagementNext and has been a regular blogger on RonSela.com, the thought leader on marketing practices.
Every fourth person I meet talks about big data and data analytics. In fact, we are in times where people are investing in big data and data analytics like never before. Yet, some of the questions that continue to haunt us are:
When I first heard the phrase “mass personalization,” I thought that it seemed to be a contradiction of terms. How can it be mass if it is personalized? How can it be personalized if it is for the masses? But it is not an oxymoron after all. The movement to Big Data and, in particular, to Artificial Intelligence has meant that we can process billions and trillions of data points and – in discovering patterns in consumer behaviors – generate unique responses to specific triggers.
We all know that selling cloud solutions is different compared to other solutions because the pricing depends upon usage metrics such as bandwidth, storage etc. In other words, salespeople need to have an insight into the future behavior of their prospects. From a skill standpoint, the one selling cloud solution needs to have the ability to shift the customer organization’s IT budgets from CAPEX to OPEX. It is a challenge as well as a great opportunity for recurring revenue.
According to Teradata’s ‘State of AI for Enterprises’ report in October 2017, 80% of enterprises have active AI in production today, with Asia-Pacific leading all regions. With all the major tech companies reorienting themselves around AI and the announcement of self-driven cars from several automobile majors, we can say with conviction, that the AI wave has arrived.
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