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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
 

3:30pm PDT

OPEN Session (DataWeek): Balancing Velocity with Academic Rigor When Building with LLMs
Thursday September 4, 2025 3:30pm - 3:55pm PDT
DataWeek -- Main Stage
Lauren Peate, Multitudes, CEO & founder

We’re all building AI features now. But building with LLMs brings its own challenges – namely: How can we use cutting-edge practices, weave in AI ethics, and consider the cost of different models without blowing past delivery dates. Not to mention making sure that the features we build will be stable, reliable and maintainable in the future.

We recently built our first LLM feature, to show the quality of feedback given in code reviews. In 1 month, we did a literature review, consultation with academic experts, data labelling, model experimentation, a cost assessment, and finally, all the ML engineering to launch it into production. The outcome: <1% extreme misclassification and zero hallucinations. In this talk, we’ll share our approach to building LLM features – how we partnered with academia (without being delayed by their timelines), what tooling we used, and how we made the cost and money tradeoffs to keep business stakeholders happy. I’ll also speak to how we built this into our microservices architecture, including how we used tools to generate structured outputs from LLMs on top of AWS’s Bedrock API to have parseable responses from a range of models.

You'll walk away with practical strategies for leading your own teams through AI implementations, identifying ethical issues early, addressing them efficiently, and still delivering on time and on budget.
Speakers
avatar for Lauren Peate

Lauren Peate

CEO & founder, Multitudes
Lauren Peate is the CEO and founder of Multitudes, which helps engineering teams improve delivery sustainably. She’s focused her career on using data to support people, including as the founder of Ally Skills NZ, a consultancy helping global tech companies improve team performance... Read More →
Thursday September 4, 2025 3:30pm - 3:55pm PDT
DataWeek -- Main Stage
  DataWeek
 
Friday, September 5
 

10:30am PDT

OPEN Session (DataWeek): Ask Us Anything: Building Real-World AI Agents for Business
Friday September 5, 2025 10:30am - 10:55am PDT
DataWeek -- Main Stage
Lee Dickson, raia AI, Director of Sales and Operations 
Rich Swier, raia AI,  Founder

You’ve seen the hype. Now let’s get practical. In this live AMA-style session, Lee Dickson and Rich Swier — co-hosts of The AI Guys podcast and builders of raia AI — open the floor to the questions business leaders, operators, and tech pros are really asking about AI.

From deployment timelines to hallucination prevention, ethics to employee augmentation — nothing’s off limits. Whether you’re planning your first AI rollout or scaling from one use case to a dozen, this is your chance to get direct insights from AI practitioners who’ve helped companies from $5M startups to $500M enterprises make AI work.
 
Speakers
avatar for Lee Dickson

Lee Dickson

Director of Sales and Operations, raia AI
Lee Dickson brings 7+ years of experience in productizing AI solutions and predictive analytics, with a strong track record of streamlining operations and improving customer engagement for SMBs and enterprise clients. With an extensive background in technology and SaaS, he's an advocate... Read More →
avatar for Rich Swier

Rich Swier

Founder, raia
Rich is a serial entrepreneur based in Sarasota, Florida. For the past 30 years, Rich has built and exited numerous successful tech businesses and continues to launch and incubate new ventures.
Friday September 5, 2025 10:30am - 10:55am PDT
DataWeek -- Main Stage
  DataWeek

1:30pm PDT

PRO Session (DataWeek): Securing Multi-Tenant Data Warehouses: How Federated Learning Revolutionizes Privacy
Friday September 5, 2025 1:30pm - 1:55pm PDT
DataWeek -- Main Stage
Jayant Tyagi, Salesforce, Lead Member of Technical Staff

Enterprises are being forced to reconsider how they manage sensitive data in cloud data warehouses due to data privacy laws and security incidents. In multi-tenant settings, traditional centralized analytics techniques are becoming more and more susceptible, putting businesses at risk for data leaks and regulatory issues.
In this session, we'll look at how federated learning is transforming data warehouse security while preserving analytical capabilities. Attendees will learn how businesses can use safe federated ways that preserve sensitive data while still obtaining insightful information, based on current research in privacy-preserving technologies.
Speakers
avatar for Jayant Tyagi

Jayant Tyagi

Lead Member of Technical Staff, Salesforce
Jayant Tyagi is a seasoned full-stack engineer with 13 years of experience in designing and developing high-scale applications. As a Lead Member of Technical Staff at Salesforce, he has played a pivotal role in building and optimizing enterprise applications, spearheading innovations... Read More →
Friday September 5, 2025 1:30pm - 1:55pm 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
 
Thursday, September 11
 

3:30pm PDT

[Virtual] OPEN Session (DataWeek): Balancing Velocity with Academic Rigor When Building with LLMs
Thursday September 11, 2025 3:30pm - 3:55pm PDT
VIRTUAL DataWeek -- Main Stage
Lauren Peate, Multitudes, CEO & founder

We’re all building AI features now. But building with LLMs brings its own challenges – namely: How can we use cutting-edge practices, weave in AI ethics, and consider the cost of different models without blowing past delivery dates. Not to mention making sure that the features we build will be stable, reliable and maintainable in the future.

We recently built our first LLM feature, to show the quality of feedback given in code reviews. In 1 month, we did a literature review, consultation with academic experts, data labelling, model experimentation, a cost assessment, and finally, all the ML engineering to launch it into production. The outcome: <1% extreme misclassification and zero hallucinations. In this talk, we’ll share our approach to building LLM features – how we partnered with academia (without being delayed by their timelines), what tooling we used, and how we made the cost and money tradeoffs to keep business stakeholders happy. I’ll also speak to how we built this into our microservices architecture, including how we used tools to generate structured outputs from LLMs on top of AWS’s Bedrock API to have parseable responses from a range of models.

You'll walk away with practical strategies for leading your own teams through AI implementations, identifying ethical issues early, addressing them efficiently, and still delivering on time and on budget.
Speakers
avatar for Lauren Peate

Lauren Peate

CEO & founder, Multitudes
Lauren Peate is the CEO and founder of Multitudes, which helps engineering teams improve delivery sustainably. She’s focused her career on using data to support people, including as the founder of Ally Skills NZ, a consultancy helping global tech companies improve team performance... Read More →
Thursday September 11, 2025 3:30pm - 3:55pm PDT
VIRTUAL DataWeek -- Main Stage
  DataWeek
 
Friday, September 12
 

10:30am PDT

[Virtual] OPEN Session (DataWeek): Ask Us Anything: Building Real-World AI Agents for Business
Friday September 12, 2025 10:30am - 10:55am PDT
VIRTUAL DataWeek -- Main Stage
Lee Dickson, raia AI, Director of Sales and Operations 
Rich Swier, raia AI,  Founder

You’ve seen the hype. Now let’s get practical. In this live AMA-style session, Lee Dickson and Rich Swier — co-hosts of The AI Guys podcast and builders of raia AI — open the floor to the questions business leaders, operators, and tech pros are really asking about AI.

From deployment timelines to hallucination prevention, ethics to employee augmentation — nothing’s off limits. Whether you’re planning your first AI rollout or scaling from one use case to a dozen, this is your chance to get direct insights from AI practitioners who’ve helped companies from $5M startups to $500M enterprises make AI work.
 
Speakers
avatar for Lee Dickson

Lee Dickson

Director of Sales and Operations, raia AI
Lee Dickson brings 7+ years of experience in productizing AI solutions and predictive analytics, with a strong track record of streamlining operations and improving customer engagement for SMBs and enterprise clients. With an extensive background in technology and SaaS, he's an advocate... Read More →
avatar for Rich Swier

Rich Swier

Founder, raia
Rich is a serial entrepreneur based in Sarasota, Florida. For the past 30 years, Rich has built and exited numerous successful tech businesses and continues to launch and incubate new ventures.
Friday September 12, 2025 10:30am - 10:55am PDT
VIRTUAL DataWeek -- Main Stage
  DataWeek

1:30pm PDT

[Virtual] PRO Session (DataWeek): Securing Multi-Tenant Data Warehouses: How Federated Learning Revolutionizes Privacy
Friday September 12, 2025 1:30pm - 1:55pm PDT
VIRTUAL DataWeek -- Main Stage
Jayant Tyagi, Salesforce, Lead Member of Technical Staff

Enterprises are being forced to reconsider how they manage sensitive data in cloud data warehouses due to data privacy laws and security incidents. In multi-tenant settings, traditional centralized analytics techniques are becoming more and more susceptible, putting businesses at risk for data leaks and regulatory issues.
In this session, we'll look at how federated learning is transforming data warehouse security while preserving analytical capabilities. Attendees will learn how businesses can use safe federated ways that preserve sensitive data while still obtaining insightful information, based on current research in privacy-preserving technologies.
Speakers
avatar for Jayant Tyagi

Jayant Tyagi

Lead Member of Technical Staff, Salesforce
Jayant Tyagi is a seasoned full-stack engineer with 13 years of experience in designing and developing high-scale applications. As a Lead Member of Technical Staff at Salesforce, he has played a pivotal role in building and optimizing enterprise applications, spearheading innovations... Read More →
Friday September 12, 2025 1:30pm - 1:55pm 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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