Piyanka Jain

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Leverage Data Science in Fintech or Die

Piyanka Jain

How to Leverage Data Science in Fintech for Maximum Impact Data science has been a game-changer in the financial industry, and fintech is one of the sectors that has successfully leveraged its power to create innovative solutions for consumers. Fintech companies use data science to enhance their products, improve marketing strategies, streamline operations, and manage risk.

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Key Questions to ask your data?—?2022 Analytics Agenda

Piyanka Jain

Key Questions to ask your data?—?2022 Analytics Agenda [link] As a start-up, you might have higher aspirations than your peers to sustain and thrive. You might also have various questions relating to your revenue, operational success, and nuances that are impacting your business significantly. Your analytics resources may not be equipped to answer all of your questions.

Startups 150
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2022 Readiness?—?Investing in Data Infrastructure

Piyanka Jain

2022 Readiness?—?Investing in Data Infrastructure [link] In 2022, Big data is transforming businesses in unprecedented ways. Today the question is not just about scalability, it is whether or not you are enabling maximum scalability with the power of data. In the above video, Piyanka Jain talks about how and when to plan and invest in data infrastructure to drive growth. 2022 Readiness?

Startups 150
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How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Continue reading on Towards Data Science ».

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Feature Engineering?—?Hypothesis-driven vs. ML-driven

Piyanka Jain

Feature Engineering?—?Hypothesis-driven vs. ML-driven I was talking to a CTO of a Fortune 100 bank this morning and we got talking about feature engineering in AI/ML models. With the advent of ML and AI, many believe that the statistical methods of feature engineering are redundant. For example, in the case of a supervised classification 0/1 problem, many use LASSO now to identify features of importance instead of using the correlation matrix (stat approach).

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How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Often I start my analytics conference keynote addresses by asking the audience to share the issues they face in their organizations. For the past decade, in nearly every conference, the #1 problem cited by analysts and their managers has been the same: their team built the best possible model (read: analysis, dashboard, report, predictive model) but people are not using it.

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AI on Pause?

Piyanka Jain

Pretty much all AI/ML customer and transactional models have been on pause for the last few months. As we speak, history is being written… Continue reading on Becoming Human: Artificial Intelligence Magazine ».