Srikanth Velamakanni
Vice Chairperson @ nasscom | Co-founder of Fractal.ai
Mumbai, Maharashtra, India
78K followers
500+ connections
About
I am the Co-Founder, Group Chief Executive and Executive Vice-Chairman of Fractal, a global leader in AI and analytics solutions for Fortune 500® companies. For over 20 years, I have been passionate about powering better decisions with data and AI at Fortune 500® sized organizations and building a culture of excellence, learning, and trust at Fractal.
I also lead the Fractal group of companies, which includes Fractal.ai, our core business of AI and analytics services, and Fractal Alpha, a group of companies that we have incubated, acquired or invested in, such as Qure.ai, Eugenie.ai, FinalMile, Crux Intelligence, Neal Analytics, Theremin.ai and Asper.ai.
Additionally, I serve as an Independent Director at Metro Brands, BARC India & NIIT Ltd., and as a Non-Executive Chairman at ideaForge, leveraging my expertise and network to support the growth and innovation of these organizations.
I am also a founder & trustee of Plaksha University.
I have served as a Executive Council member of NASSCOM for the last five years.
Articles by Srikanth
Experience
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Publications
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Commerce System and Method of Learning Consumer Behavior Based on Prior and Current Transactions
A commerce system involves purchase transactions between retailers and consumers. The purchase transaction includes products associated by a common product type. A plurality of classifications is defined based on an attribute of the products within the common product type. Transaction probabilities for each classification are determined based on a prior transaction probability and transaction weight for each product. A consumer probability associated with each classification is revised based on…
A commerce system involves purchase transactions between retailers and consumers. The purchase transaction includes products associated by a common product type. A plurality of classifications is defined based on an attribute of the products within the common product type. Transaction probabilities for each classification are determined based on a prior transaction probability and transaction weight for each product. A consumer probability associated with each classification is revised based on a prior consumer probability and the transaction probabilities. The consumer probability indicates a likelihood of a consumer purchasing a product having the attribute associated with the classification. A product probability associated with each classification is revised based on a prior transaction probability, consumer probability, and product weight. The product probability indicates a likelihood of a product having the attribute associated with the classification. Transactions within the commerce system are controlled based on the consumer probability and product probability.
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Languages
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English
Full professional proficiency
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Hindi
Full professional proficiency
Organizations
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Confederation of Indian Industry (CII)
Member of CII National Committee on FMCG
- Present -
NASSCOM
BPM Council Member
- Present
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