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Subject: Data Governance and Security (DataWeek) clear filter
Wednesday, September 3
 

12:00pm PDT

PRO WORKSHOP (DataWeek): Democratizing AI: Ensuring Security, Governance, and Compliance in AI Development
Wednesday September 3, 2025 12:00pm - 12:50pm PDT
DataWeek -- Workshop Stage C (PRO)
David Adeleke, ZeeH Technologies, CEO

In this session, we will explore how the democratization of AI is not only driving innovation but also raising important questions around security, governance, and compliance. As organizations increasingly adopt AI technologies, it becomes imperative to establish robust frameworks for ensuring the security and ethical use of AI systems. From data privacy concerns to algorithmic bias, we will examine the key challenges facing AI practitioners and discuss strategies for mitigating risks and fostering responsible AI development. Through insightful discussions and practical examples, attendees will gain a deeper understanding of the intersection between AI democratization and security, governance, and compliance considerations. Join us as we navigate the complex landscape of AI ethics and governance and chart a path towards building trust in AI-powered solutions. 
Speakers
avatar for David Adeleke

David Adeleke

CEO, ZeeH Technologies
David Adeleke Olaoluwa is a serial entrepreneur, investor, pioneer and change agent driven by a mission to raise the standard of living of people through business and wealth creation as a catalyst for positive change globally.David is a leading investment professional and executive... Read More →
Wednesday September 3, 2025 12:00pm - 12:50pm PDT
DataWeek -- Workshop Stage C (PRO)
  DataWeek

1:00pm PDT

PRO WORKSHOP (DataWeek): Securing the Data Layer: Privacy, Compliance, and Trust in AI-Driven Pipelines
Wednesday September 3, 2025 1:00pm - 1:50pm PDT
DataWeek -- Main Stage
Advait Patel, Broadcom, Senior Site Reliability Engineer

As organizations scale AI-driven applications and cloud-native pipelines, data privacy and compliance have become top concerns, not just for legal teams, but for developers and data engineers too. With regulations like GDPR, HIPAA, and the AI Act taking shape, teams need to rethink how data flows through their ML lifecycle.

In this session, Advait Patel, a cloud security engineer and contributor to the Cloud Security Alliance’s AI Control Matrix, will explore how to architect secure and compliant data pipelines for AI and analytics workloads. From ingestion and transformation to model training and inference, every layer presents unique risks, and unique opportunities to build trust.
Speakers
avatar for Advait Patel

Advait Patel

Senior Site Reliability Engineer, Broadcom
Advait Patel is a skilled Senior Site Reliability Engineer based in Chicago, with a passion for leveraging technology to drive impactful solutions. With extensive experience in Cloud Computing, Cloud Security, and Cybersecurity, he currently works at Broadcom, where he plays a key... Read More →
Wednesday September 3, 2025 1:00pm - 1:50pm PDT
DataWeek -- Main Stage
  DataWeek
 
Thursday, September 4
 

10:00am PDT

PRO Session (DataWeek): Generative AI Operation Evaluation Framework
Thursday September 4, 2025 10:00am - 10:25am PDT
DataWeek -- Main Stage
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
  DataWeek

1:30pm PDT

PRO Session (DataWeek): Integrating Data Governance into Cyber Risk Management
Thursday September 4, 2025 1:30pm - 1:55pm PDT
DataWeek -- Main Stage
Nandini Singh, Google, Sr. TPM

This session is designed for cybersecurity professionals, data governance leaders, and IT managers seeking to strengthen their organization's cybersecurity posture through effective data governance practices. Attendees will leave with actionable insights and strategies to enhance their organization's resilience against cyber threats.

Drawing upon my experience of working at the Office of Cybersecurity Resilience at Google, I will share lessons learned from integrating data governance into cyber risk management, with a focus on evaluating metric quality levels (introducing the concept of Metric Bill of Materials) and developing a continuous improvement and adaptation roadmap.
Speakers
avatar for Nandini Singh

Nandini Singh

Sr. TPM, Google
Nandini Singh is a seasoned professional in the fields of data modeling, analytics, and cybersecurity technologies, with a robust career that spans over a decade. She currently serves as a Senior Technical Program Manager at Google, where she leads initiatives on product, platform... Read More →
Thursday September 4, 2025 1:30pm - 1:55pm PDT
DataWeek -- Main Stage
  DataWeek
 
Friday, September 5
 

11:00am PDT

OPEN Session (DataWeek): Data Integrity in the Age of AI: SBOMs, Lineage, and Trust in the Pipeline
Friday September 5, 2025 11:00am - 11:25am PDT
DataWeek -- Main Stage
Saloni Garg, Wayfair, Senior Software Engineer

With AI models consuming more data than ever, ensuring the integrity and traceability of that data is critical. This talk focuses on how to build trust into your data pipelines -- using concepts like SBOMs (Software Bill of Materials) for datasets, audit trails, and metadata tagging to make data consumption safer and more transparent. I’ll also touch on how this ties into emerging compliance frameworks and how we’ve approached this in practice. 
Speakers
avatar for Saloni Garg

Saloni Garg

Senior Software Engineer, Wayfair
International Red Hat Women in Open Source Awardee | Mozilla Open Leader 2019 | a strong open source diversity supporter | Google Venkat Scholarship winner | Speaker
Friday September 5, 2025 11:00am - 11:25am PDT
DataWeek -- Main Stage
  DataWeek

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
DataWeek -- Main Stage
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
  DataWeek
 
Wednesday, September 10
 

9:00am PDT

[Virtual] PRO WORKSHOP (DataWeek): Democratizing AI: Ensuring Security, Governance, and Compliance in AI Development
Wednesday September 10, 2025 9:00am - 9:50am PDT
VIRTUAL DataWeek -- Workshop Stage C (PRO)
David Adeleke, ZeeH Technologies, CEO

In this session, we will explore how the democratization of AI is not only driving innovation but also raising important questions around security, governance, and compliance. As organizations increasingly adopt AI technologies, it becomes imperative to establish robust frameworks for ensuring the security and ethical use of AI systems. From data privacy concerns to algorithmic bias, we will examine the key challenges facing AI practitioners and discuss strategies for mitigating risks and fostering responsible AI development. Through insightful discussions and practical examples, attendees will gain a deeper understanding of the intersection between AI democratization and security, governance, and compliance considerations. Join us as we navigate the complex landscape of AI ethics and governance and chart a path towards building trust in AI-powered solutions. 
Speakers
avatar for David Adeleke

David Adeleke

CEO, ZeeH Technologies
David Adeleke Olaoluwa is a serial entrepreneur, investor, pioneer and change agent driven by a mission to raise the standard of living of people through business and wealth creation as a catalyst for positive change globally.David is a leading investment professional and executive... Read More →
Wednesday September 10, 2025 9:00am - 9:50am PDT
VIRTUAL DataWeek -- Workshop Stage C (PRO)
  DataWeek

10:00am PDT

[Virtual] PRO WORKSHOP (DataWeek): Securing the Data Layer: Privacy, Compliance, and Trust in AI-Driven Pipelines
Wednesday September 10, 2025 10:00am - 10:50am PDT
VIRTUAL DataWeek -- Main Stage
Advait Patel, Broadcom, Senior Site Reliability Engineer

As organizations scale AI-driven applications and cloud-native pipelines, data privacy and compliance have become top concerns, not just for legal teams, but for developers and data engineers too. With regulations like GDPR, HIPAA, and the AI Act taking shape, teams need to rethink how data flows through their ML lifecycle.

In this session, Advait Patel, a cloud security engineer and contributor to the Cloud Security Alliance’s AI Control Matrix, will explore how to architect secure and compliant data pipelines for AI and analytics workloads. From ingestion and transformation to model training and inference, every layer presents unique risks, and unique opportunities to build trust.
Speakers
avatar for Advait Patel

Advait Patel

Senior Site Reliability Engineer, Broadcom
Advait Patel is a skilled Senior Site Reliability Engineer based in Chicago, with a passion for leveraging technology to drive impactful solutions. With extensive experience in Cloud Computing, Cloud Security, and Cybersecurity, he currently works at Broadcom, where he plays a key... Read More →
Wednesday September 10, 2025 10:00am - 10:50am PDT
VIRTUAL DataWeek -- Main Stage
  DataWeek
 
Thursday, September 11
 

10:00am PDT

[Virtual] PRO Session (DataWeek): Generative AI Operation Evaluation Framework
Thursday September 11, 2025 10:00am - 10:25am PDT
VIRTUAL DataWeek -- Main Stage
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
  DataWeek

1:30pm PDT

[Virtual] PRO Session (DataWeek): Integrating Data Governance into Cyber Risk Management
Thursday September 11, 2025 1:30pm - 1:55pm PDT
VIRTUAL DataWeek -- Main Stage
Nandini Singh, Google, Sr. TPM

This session is designed for cybersecurity professionals, data governance leaders, and IT managers seeking to strengthen their organization's cybersecurity posture through effective data governance practices. Attendees will leave with actionable insights and strategies to enhance their organization's resilience against cyber threats.

Drawing upon my experience of working at the Office of Cybersecurity Resilience at Google, I will share lessons learned from integrating data governance into cyber risk management, with a focus on evaluating metric quality levels (introducing the concept of Metric Bill of Materials) and developing a continuous improvement and adaptation roadmap.
Speakers
avatar for Nandini Singh

Nandini Singh

Sr. TPM, Google
Nandini Singh is a seasoned professional in the fields of data modeling, analytics, and cybersecurity technologies, with a robust career that spans over a decade. She currently serves as a Senior Technical Program Manager at Google, where she leads initiatives on product, platform... Read More →
Thursday September 11, 2025 1:30pm - 1:55pm PDT
VIRTUAL DataWeek -- Main Stage
  DataWeek
 
Friday, September 12
 

11:00am PDT

[Virtual] OPEN Session (DataWeek): Data Integrity in the Age of AI: SBOMs, Lineage, and Trust in the Pipeline
Friday September 12, 2025 11:00am - 11:25am PDT
VIRTUAL DataWeek -- Main Stage
Saloni Garg, Wayfair, Senior Software Engineer

With AI models consuming more data than ever, ensuring the integrity and traceability of that data is critical. This talk focuses on how to build trust into your data pipelines -- using concepts like SBOMs (Software Bill of Materials) for datasets, audit trails, and metadata tagging to make data consumption safer and more transparent. I’ll also touch on how this ties into emerging compliance frameworks and how we’ve approached this in practice. 
Speakers
avatar for Saloni Garg

Saloni Garg

Senior Software Engineer, Wayfair
International Red Hat Women in Open Source Awardee | Mozilla Open Leader 2019 | a strong open source diversity supporter | Google Venkat Scholarship winner | Speaker
Friday September 12, 2025 11:00am - 11:25am PDT
VIRTUAL DataWeek -- Main Stage
  DataWeek

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
VIRTUAL DataWeek -- Main Stage
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
  DataWeek
 
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