11 episodes

In this podcast, listen to the people that make up MathCo talk about the company, its values, culture, and about topics that inspire them.

The MathCo Way MathCo

    • Technology

In this podcast, listen to the people that make up MathCo talk about the company, its values, culture, and about topics that inspire them.

    Special Episode: A Candid Conversation with the Cofounders on MathCo’s 7th Anniversary

    Special Episode: A Candid Conversation with the Cofounders on MathCo’s 7th Anniversary

    On MathCo’s 7th Anniversary, Cofounders Aditya Kumbakonam, Anuj Krishna, and Sayandeb Banerjee candidly answer 7 questions about what’s on their mind right now, and what they expect in the future for MathCo.  

    In the episode, the three Cofounders reintroduce themselves, share something that most people don’t know about them, and talk about what they’d be doing if they weren’t doing this for a living.

    They answer 2 unique questions and one common question: 


    As we go from being a startup to a larger company, what are some things to keep in mind/watch out for? 
    What challenges do you see ahead for MathCo in the next few years? 
    MathCo has embraced Gen AI in a big way. How do you differentiate between a hype and something that’s truly pathbreaking and worth investing in? 
    What are you confident about doing/achieving in the next year or two? 
    Based on your learnings from the last few years, where do you stand on the debate surrounding the efficacy of remote work? 
    What makes MathCo tick? If someone were to write a book on MathCo, what would be the chapters? 
    Common question for all: What’s your birthday resolution for MathCo? 

    Listen to the whole thing so you don’t miss the ✨ surprise ✨ at the end. 

    You can find the transcript of the episode here: bit.ly/3PzGryN

    • 32 min
    How can we get more women in tech & data?

    How can we get more women in tech & data?

    It’s Women’s History Month and earlier this month, the AI Xecutive Council (an initiative of TheMathCompany) organized Conversations for Change, a roundtable where leaders in the data analytics and AI space came together to discuss representation of women in tech and data.
    Listen to them address important questions such as: What do we need to do to close the gender gap in tech & data analytics? How can companies increase representation of women in the space? What kind of policies can help? How did these women leaders overcome challenges to get here? How can we achieve equity?

    Topic: Paving Diverse & Resilient Pathways to Technology Careers

    Moderated by Sadie St. Lawrence, Founder & CEO, Women in Data

    Speakers:

    Telina Reil - Director, Advanced Analytics, Abbott

    Claus Rose - Vice President, EHS Renewable, GE 

    Ling Zhang - VP of Data Science, Cadent

    Gustavo Mendonca - Director, Global Head of RGM Digital Solutions, The Kraft Heinz Company

    Praveena R - Senior Director, Data Engineering & Analytics, Dollar General

    Neethu Vincent – Principal, TheMathCompany

    Anjali Iyer – Associate Principal, TheMathCompany

    Sahana Sreeja – Associate Principal, Solutioning, TheMathCompany

    Nicole Crosby – Associate Principal, Customer Success, TheMathCompany

    Liz Taylor – Principal, Human Resources, TheMathCompany

    Maria Cecilia Hutcheson – Head of Region, Strategic Accounts, TheMathCompany


    Learn more about TheMathCompany here.
    Learn more about the AI Xecutive Council here.

    • 1 hr 1 min
    The 2020–2021 Continuum: A Podcast with the Co-Founders of TheMathCompany

    The 2020–2021 Continuum: A Podcast with the Co-Founders of TheMathCompany

    As 2020 comes to a close and 2021 begins amidst great expectations, catch our Co-Founders, Sayandeb Banerjee, Aditya Kumbakonam, and Anuj Krishna, engage in insightful conversation on life as we have never known it before, the challenges of the past year, and the journey ahead for TheMathCompany, in this podcast hosted by Pranav Sharma.

    • 30 min
    INDUSTRY 4.0 JOURNEY: AN EXECUTIVE'S ROADMAP

    INDUSTRY 4.0 JOURNEY: AN EXECUTIVE'S ROADMAP

    In this podcast session, Amit Kurhekar, Director Data Science Solutions, Yodlee, an Applied Data Science Leader with close to two decades of experience in the field of analytics, delves into the world of industry 4.0, with Srinidhi Rao, Senior Partner, TheMathCompany. Amit shares his expert insights on the tools, technologies, skill sets and operational structure required to adopt industry 4.0, explains how progress can be quantified or measured based on an organization’s adoption journey and shares his insights on the possibility of leveraging industry 4.0 to cushion the impact of pandemic disruption.

    What is Industry 4.0?
    What are the tools, technologies and skillsets required to adopt industry 4.0?
    What should be the operational structure/hierarchy of an Industry 4.0 team?
    Are there examples or use case where industry 4.0 has offered companies a sound ROI?
    What’s the distinction between pureplay automation and industry 4.0?
    How do you know you quantify/measure progress in your industry 4.0 adoption journey?
    Is industry 4.0 a feasible investment for small and mid-sized companies?
    In retrospect, could Industry 4.0 could have cushioned the impact of COVID19?

    • 35 min
    The Next Big Thing in Analytics: How is Behavioral Analytics Transforming Industries?

    The Next Big Thing in Analytics: How is Behavioral Analytics Transforming Industries?

    In this podcast, our host Srinidhi Shama Rao, Senior Partner, TheMathCompany, interviews Ishan Basu, Partner, TheMathCompany, who has a wealth of experience in the field of analytics, across Retail, CPG & Insurance industries. Catch this podcast for pertinent insights on how behavioral analytics is making huge waves and shaping decisions in industrial and political landscapes.

    Tune in!

    Timeline:

    0.00s – Introduction

    1.44s – What’s the next big thing in analytics that can add immense value to organizations

    2.17s – The large gold mine of customer data & insights that brands can leverage

    5:34s – What is Behavioural Analytics?

    7.07s – How a Pizza Delivery Business Tailored Services by Tuning into Customer Cues.

    9.12s – Attitudinal Segmentation of Customers

    10.50s – How & Where Do You Tap into Keen Customer Data & Insights?

    15.12s – How Would This Play Out in Automobile, Retail, CPG or BFSI Industries?

    24.13s – Behavioral Analytics in Societal & Political Landscapes

    26.24s – How Can Data Scientists Start Leveraging Behavioral Analytics?

    30.27s – Conclusion

    • 31 min
    A Data Scientist’s Guesstimate: Economic, Political, Industry-wide Ramifications of COVID19

    A Data Scientist’s Guesstimate: Economic, Political, Industry-wide Ramifications of COVID19

    In this podcast Srivatsa Kanchibotla, one of the Top 10 Data Scientists in India 2019, discusses how the COVID19 pandemic has uprooted lives, business operations and economies world over. He takes a keen look at data and research studies, to offer his guesstimate on what we can expect in the near future.

    Tune in!

    Podcast Timeline:

    0:00s – Intro

    0:44s – COVID-19 & the ripple effects it has had across the globe

    5:45s – Would the ongoing recession be sharper than the  global financial crisis in 2008?

    6.35s – (Audience interaction) Production & Distribution of food in India and the US

    7:30s – History of pandemic responses

    7:50s – How do you know someone has COVID-19?

    10:48s – A public health or medical issue?

    11:28s– How will COVID19 impact private consumption and industries?

    12.25s – (Audience Interaction) Will the sharp decline be followed by sharp increase in recovery, thereby minimize long term ramifications?

    14:51s – What about vaccines?

    15.24s – How have different governments responded to the vaccine?

    18.36s – How will organizations reinvent themselves to adapt to the changes in the long run?

    20.15s – (Audience Interaction) Is COVID-19 a black swan event?

    21.58s – Sign-off

    • 22 min

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