Coefficient by MathCo

This special episode was a LinkedIn Live discussion we held last month with MathCo Partner Ashwin Kumar, who leads Solutioning and Growth for the firm.  

In his conversation with host Nirupama, Ashwin shares his predictions on what kind of business problem-solving can be expected to be in-demand this, along with his insights on Generative AI, Connected Intelligence and other technologies and approaches that the company is betting big on.  

Whether you’re a business leader, or someone who works in analytics/AI, Ashwin's insights shared in this episode can give you an edge over the others.

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In the first episode of 2024, host Nirupama talks to Shridhar Guntury, Chief Technology Officer at MathCo an intriguing topic—Connected Intelligence. 

Shridhar deconstructs the concept—the promise of an integrated, more-advanced business intelligence, throwing light on how it could manifest in a company, how it affects different functions within the organization, ranging from decision makers, engineers, to everyday business users. They also discuss how it fits into existing ecosystems, products, and upcoming technologies such as GenAI. 

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In this episode, host Nirupama talks to Silvana Dimitrov—Partner & RGM Practice Lead, and Aditya Durai—Principal & RGM Solutions Lead at MathCo about the why, what, and how of digitizing and upgrading Revenue Growth Management in an enterprise.  

They talk about the different stages of maturity in RGM, and why it’s crucial to upgrade to an integrated RGM suite, and the path to get there. Drawing from their extensive experience in RGM, they share their advice, and discuss the pitfalls that companies should avoid. They also talk about what the future holds—what connected intelligence and Generative AI applied to RGM could look like. 

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In this episode, host Nirupama talks to Sourav Banerjee – Head of Innovation at TheMathCompany, and Srivatsa Kanchibotla – Principal at TheMathCompany about the inevitable; the hot topic in the world of technology and AI: Generative AI. 

They dig deeper to see beyond the hype and the excitement and address an important question—how can enterprises start adopting this technology?

From their experience being at the center of all interactions and discussions related to Gen AI and large language models at MathCo, they bust myths, share recommendations, and pave the way for business leaders towards cautious optimism and responsible adoption.  

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In this episode, Nirupama speaks with Dmitry Pavlov, Head of Retail Media Analytics Practice, and Prabal Majumdar, Principal – Customer Success at TheMathCompany, about the retail media marketing landscape: who it is for, what’s in it for retailers, and why it’s important to brands.  

Drawing from their extensive experience working in this space, they share advice for retailers who are just setting up a retail media network, and discuss how AI could transform this game.

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This episode is the second part of the interview with TheMathCompany Co-founder & CEO Sayandeb Banerjee, where he talks about what it means to be a truly data-driven business.  

In the episode, Sayan talks about "softer” changes that are required for an enterprise that aims to become truly data driven—cultural shift, a change in organization structure, etc.  

Drawing from 25 years of experience working in this space and running a fast-growing company that strives to become more data-driven every day, Sayan’s first piece of advice for business leaders who are undertaking this journey: celebrate failures!  

He clarifies what we’re making a case against when we’re making a case for data-driven decision making and warns against blindly letting data dictate everything. 

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This episode is the first part of the interview with TheMathCompany Co-founder & CEO Sayandeb Banerjee, where he talks about what it means to be a truly data-driven business.  

In the episode, Sayan talks about when—in his 25 years of experience in the field—he first realized the power of data. He tells us how he disagrees with the now overused expression “data is the new oil” and shares his own analogy for the importance of data in today’s world. We discuss the history of data recording, visualization and interpretation—in a society and business context.  

He describes what a truly data-driven business would look like, and breaks down the journey an enterprise typically goes through on its journey from being data-ignorant to data-driven.  

He also opens up about his opinion on whether a company should build its own data analytics capabilities or depend on external vendors, and TheMathCompany’s philosophy of promoting self-sufficiency in their clients. 

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