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Thursday, September 4
 

10:00am PDT

PRO Session (DataWeek): Generative AI Operation Evaluation Framework
Thursday September 4, 2025 10:00am - 10:25am PDT
Cigil Achenkunju, LivePerson, Data and Product Management

How do we know if this gen AI investment is moving the needle? It is a question heard almost daily across finance, healthcare, and retail. And honestly, it is the right question to ask. On top of that, should we continue to invest in AI at the same rate or optimize? How can a stakeholder show that solution usage has a positive or maybe negative impact on their operation?
Survey results indicate that up to 85% of AI initiatives eventually fail to deliver their promises. Organizations using gen AI want to understand the impact of such solutions clearly. Can you blame them? So, let’s define a strategic decision-making framework that broadly answers these business questions in an operational setting that balances the benefits of business value and AI integration.

An analytical framework for operations measurement 2S/2E: Think of it as four pillars used together to tell a complete story of your gen AI-enabled operation's health: Each pillar reveals a different facet of your performance, and I'll show you exactly how to measure them. These pillars offer valuable insights to measure your operations. What makes this framework powerful is its systematic approach and adaptability.
Speakers
avatar for Cigil Achenkunju

Cigil Achenkunju

Data and Product Management, LivePerson
A leader in advanced data analytics and a strategic advisor, Cigil has a robust background in data science and product management. With extensive experience across various organizations, Cigil has helped companies transform data into actionable insights that drive business success... Read More →
Thursday September 4, 2025 10:00am - 10:25am PDT
DataWeek -- Main Stage
 
Friday, September 5
 

9:30am PDT

PRO Session (DataWeek): The Rise of Agentic Commerce: Where AI Intelligence Meets Infinite Retail Possibility
Friday September 5, 2025 9:30am - 9:55am PDT
Aswini Atibudhi, Walmart, Driving Innovation with Generative AI

In this visionary session, we’ll explore how Agentic AI is not just enhancing retail — it’s fundamentally reinventing it. As commerce shifts from static transactions to dynamic, intelligent interactions, Agentic AI emerges as the architect of a new era: Agentic Commerce. Learn how AI-powered agents, composable architectures, and autonomous decision-making systems are creating infinitely adaptable, customer-first retail ecosystems. We’ll dive into real-world examples, transformative architectures, and the strategic shifts needed to thrive in an AI-first retail future.
Join us to uncover how businesses can unlock limitless innovation, personalized experiences, and operational agility by embracing the rise of Agentic Commerce.
Speakers
avatar for Aswini Atibudhi

Aswini Atibudhi

Distinguished Architect for Customer Space, Walmart
Aswini is the Distinguished Architect for Customer Space at Walmart. He has more than 20 years of IT experience in design and development of scalable microservice and microfrontend based Web/Cloud/AI & ML Applications. His Portfolio is jam-packed with Multiple domains such as Finance... Read More →
Friday September 5, 2025 9:30am - 9:55am PDT
DataWeek -- Main Stage

2:00pm PDT

OPEN Session (DataWeek): Transforming Seller Onboarding in Retail: Responsible AI, RAG, and Risk Management
Friday September 5, 2025 2:00pm - 2:25pm PDT
Banani Mohapatra, Walmart, Senior Manager, Data Science
Bhavnish Walia, Amazon, Senior Risk Manager AI/ML


Onboarding new sellers onto retail platforms like Walmart and Amazon involves a complex, multi-step process designed to mitigate fraud and ensure compliance with global regulations. One of the most critical and cumbersome steps is Know Your Customer (KYC) verification, requiring sellers to upload documentation for identity verification, business registration, and compliance checks. This manual review process often leads to long approval times and delays, frustrating legitimate sellers and creating operational bottlenecks for compliance teams.
To address these challenges, we leveraged foundational models with custom prompting strategies, in-document summarization, and retrieval-augmented generation (RAG) to ground responses in trusted data sources, powered by open-source LLM APIs. By automating document analysis and augmenting human reviewers with AI outputs, we reduced overall onboarding time by more than 20 percent, improving seller experience and operational efficiency.
However, deploying AI into a regulated process like KYC required a robust responsible AI framework combining scalability with governance. We implemented guardrail models to flag edge cases and ensure human oversight, enforced strict data anonymization protocols to protect sensitive information, and applied privacy-preserving techniques for model training. We also established a rigorous validation pipeline to test outputs against regulatory standards, mitigating risks such as hallucinations and interpretability gaps.
This talk offers actionable insights for data scientists, compliance officers, regulators, and machine learning practitioners working at the intersection of AI, risk management, and regulatory compliance. Presented by Bhavnish Walia, Senior Risk Manager at Amazon, and Banani Mohapatra, Senior Data Science Manager at Walmart, attendees will walk away with a practical framework for deploying AI in sensitive domains—covering risk management strategies, scalable AI architectures aligned with compliance, and key lessons on balancing innovation with accountability.  
Speakers
avatar for Banani Mohapatra

Banani Mohapatra

Senior Manager, Data Science, Walmart
Banani Mohapatra is a data science leader with 12+ years of experience in e-commerce, payments, and real estate, specializing in machine learning, generative AI, LLMs, and causal AI. She leads a global data science team at Walmart, driving subscription growth with multi-billion-dollar... Read More →
avatar for Bhavnish Walia

Bhavnish Walia

Senior Risk Manager AI/ML, Amazon
Bhavnish Walia is a Senior Risk Manager at Amazon, where he leads AI Risk Management efforts focused on developing large language model (LLM) frameworks for data governance and regulatory compliance. He ensures the safe and compliant deployment of AI systems at scale. With over 12... Read More →
Friday September 5, 2025 2:00pm - 2:25pm PDT
DataWeek -- Main Stage
 
Thursday, September 11
 

10:00am PDT

[Virtual] PRO Session (DataWeek): Generative AI Operation Evaluation Framework
Thursday September 11, 2025 10:00am - 10:25am PDT
Cigil Achenkunju, LivePerson, Data and Product Management

How do we know if this gen AI investment is moving the needle? It is a question heard almost daily across finance, healthcare, and retail. And honestly, it is the right question to ask. On top of that, should we continue to invest in AI at the same rate or optimize? How can a stakeholder show that solution usage has a positive or maybe negative impact on their operation?
Survey results indicate that up to 85% of AI initiatives eventually fail to deliver their promises. Organizations using gen AI want to understand the impact of such solutions clearly. Can you blame them? So, let’s define a strategic decision-making framework that broadly answers these business questions in an operational setting that balances the benefits of business value and AI integration.

An analytical framework for operations measurement 2S/2E: Think of it as four pillars used together to tell a complete story of your gen AI-enabled operation's health: Each pillar reveals a different facet of your performance, and I'll show you exactly how to measure them. These pillars offer valuable insights to measure your operations. What makes this framework powerful is its systematic approach and adaptability.
Speakers
avatar for Cigil Achenkunju

Cigil Achenkunju

Data and Product Management, LivePerson
A leader in advanced data analytics and a strategic advisor, Cigil has a robust background in data science and product management. With extensive experience across various organizations, Cigil has helped companies transform data into actionable insights that drive business success... Read More →
Thursday September 11, 2025 10:00am - 10:25am PDT
VIRTUAL DataWeek -- Main Stage
 
Friday, September 12
 

9:30am PDT

[Virtual] PRO Session (DataWeek):The Rise of Agentic Commerce: Where AI Intelligence Meets Infinite Retail Possibility
Friday September 12, 2025 9:30am - 9:55am PDT
Aswini Atibudhi, Walmart, Driving Innovation with Generative AI

In this visionary session, we’ll explore how Agentic AI is not just enhancing retail — it’s fundamentally reinventing it. As commerce shifts from static transactions to dynamic, intelligent interactions, Agentic AI emerges as the architect of a new era: Agentic Commerce. Learn how AI-powered agents, composable architectures, and autonomous decision-making systems are creating infinitely adaptable, customer-first retail ecosystems. We’ll dive into real-world examples, transformative architectures, and the strategic shifts needed to thrive in an AI-first retail future.
Join us to uncover how businesses can unlock limitless innovation, personalized experiences, and operational agility by embracing the rise of Agentic Commerce.
Speakers
avatar for Aswini Atibudhi

Aswini Atibudhi

Distinguished Architect for Customer Space, Walmart
Aswini is the Distinguished Architect for Customer Space at Walmart. He has more than 20 years of IT experience in design and development of scalable microservice and microfrontend based Web/Cloud/AI & ML Applications. His Portfolio is jam-packed with Multiple domains such as Finance... Read More →
Friday September 12, 2025 9:30am - 9:55am PDT
VIRTUAL DataWeek -- Main Stage

2:00pm PDT

[Virtual] OPEN Session (DataWeek): Transforming Seller Onboarding in Retail: Responsible AI, RAG, and Risk Management
Friday September 12, 2025 2:00pm - 2:25pm PDT
Banani Mohapatra, Walmart, Senior Manager, Data Science
Bhavnish Walia, Amazon, Senior Risk Manager AI/ML


Onboarding new sellers onto retail platforms like Walmart and Amazon involves a complex, multi-step process designed to mitigate fraud and ensure compliance with global regulations. One of the most critical and cumbersome steps is Know Your Customer (KYC) verification, requiring sellers to upload documentation for identity verification, business registration, and compliance checks. This manual review process often leads to long approval times and delays, frustrating legitimate sellers and creating operational bottlenecks for compliance teams.
To address these challenges, we leveraged foundational models with custom prompting strategies, in-document summarization, and retrieval-augmented generation (RAG) to ground responses in trusted data sources, powered by open-source LLM APIs. By automating document analysis and augmenting human reviewers with AI outputs, we reduced overall onboarding time by more than 20 percent, improving seller experience and operational efficiency.
However, deploying AI into a regulated process like KYC required a robust responsible AI framework combining scalability with governance. We implemented guardrail models to flag edge cases and ensure human oversight, enforced strict data anonymization protocols to protect sensitive information, and applied privacy-preserving techniques for model training. We also established a rigorous validation pipeline to test outputs against regulatory standards, mitigating risks such as hallucinations and interpretability gaps.
This talk offers actionable insights for data scientists, compliance officers, regulators, and machine learning practitioners working at the intersection of AI, risk management, and regulatory compliance. Presented by Bhavnish Walia, Senior Risk Manager at Amazon, and Banani Mohapatra, Senior Data Science Manager at Walmart, attendees will walk away with a practical framework for deploying AI in sensitive domains—covering risk management strategies, scalable AI architectures aligned with compliance, and key lessons on balancing innovation with accountability.  
Speakers
avatar for Bhavnish Walia

Bhavnish Walia

Senior Risk Manager AI/ML, Amazon
Bhavnish Walia is a Senior Risk Manager at Amazon, where he leads AI Risk Management efforts focused on developing large language model (LLM) frameworks for data governance and regulatory compliance. He ensures the safe and compliant deployment of AI systems at scale. With over 12... Read More →
avatar for Banani Mohapatra

Banani Mohapatra

Senior Manager, Data Science, Walmart
Banani Mohapatra is a data science leader with 12+ years of experience in e-commerce, payments, and real estate, specializing in machine learning, generative AI, LLMs, and causal AI. She leads a global data science team at Walmart, driving subscription growth with multi-billion-dollar... Read More →
Friday September 12, 2025 2:00pm - 2:25pm PDT
VIRTUAL DataWeek -- Main Stage
 

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