Call for Speakers

Raleigh Day of Data 2026

in 4 months

Raleigh Day of Data 2026

event date

23 May 2026

location

Duke Health, 14 Moore Dr Durham, North Carolina, United States

website

dayofdata.org/2026-05-23-dayofdata1143/

Speak at Raleigh Day of Data 2026!

May 23rd, 2026

We are looking for speakers for 1-hour sessions on Saturday. The speaker call is open until March 3rd.

Please also indicate if you would be willing to present multiple sessions.

open, 35 days left
Call for Speakers
Call opens at 12:00 AM

01 Jan 2026

Call closes at 11:59 PM

03 Mar 2026

Add to calendar
Call closes in Eastern Standard Time (UTC-05:00) timezone.
Closing time in your timezone () is .

Hello Speakers,

This is an in-person event; you must be here in person to present the session.

Code of Conduct: https://dayofdata.org/coc/

Please submit your session(s) only if you are available and willing to come in person and present the session in Durham, NC, on Saturday, May 23, 2026, and agree to the code of conduct mentioned in the above link.

Regular sessions can be 60 minutes in total, including delivery and demos (if any).

Please include the session title, a complete description of the session, the level, the target audience, the speaker name(s), and the speaker bio(s).

If you have any questions, please get in touch with us at the speaker support email.

Thank you,

Raleigh Day of Data Team

all submitted sessions

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59 submissions
Submitted sessions
Marilina Trevisan
  • Garbage in, hallucinations out: designing data for GenAI agents
Anusha Kovi
  • Governance-Aware Data Products on AWS: Trust Signals People Actually Use
  • Cost & Reliability Engineering for AI Analytics on AWS: Context Budgets + Query Budgets + SLAs
  • Permission-Aware RAG for Analytics on AWS: Prevent “Smart Data Leaks”
  • Incident-Grade Lineage on AWS: Run-Level Evidence That Cuts MTTR
  • Trustworthy Conversational BI on AWS: Bedrock + Semantic Layer + NL -> SQL Guardrails
Jennifer Novak
  • Allyship That Actually Works: Practical Ways to Support Women in Tech
  • Accelerating End-User Adoption: Practical Adoption Change Management for Rapid Technology Rollouts
  • Secrets to Successful Copilot Implementation: From Readiness to ROI
N.J. Robinson
  • 3 Players Every Manager Will Lead: Principles for Developing High-Performing Teams
Siri Yellu
  • Why On-Time Delivery Breaks: Using Data to Understand and Improve Last-Mile Operations
  • Do Hand Crafted Image Features Still Matter? Evaluating Approaches for Cell Nuclei Classification
Dr. Cathy Sarvis
  • Sustaining Performance Without Exhaustion
Sivakumar Dhanasekar
  • Artificial Intelligence in Finance: Risk Management, Fraud Detection, Algorithmic Trading, and RegTe
Navneet Dalipkumar Magotra
  • Scaling Generative AI in the Real World: From Cloud Models to Trusted Intelligent Systems
  • LLM-Driven Voice Agents That Collaboratively Talk To Each Other: Towards Vocal Multi- Agent Systems
Aditya Mulik
  • Data Architecture for Production LLM Systems: Managing Context Cost and Quality at Enterprise Scale
Nihal Kaul
  • When Small Language Models Beat Large Ones in Production
  • How Data Is Stored and Queried Inside a Vector Database
  • Running AI Agents as Data Pipelines in Production
show all submissions
Shamindra Peiris
  • Generative AI for Fraud Analytics
Kapil Sharma
  • Building Agentic AI for Business Analytics with LangChain & LangGraph
Sowjanya Karri
  • Explainable Generative AI Models for Anomaly Detection in Transactional Finance Data
Rajkumar Kuppuswami
  • Smart Research & Academic Assistant
  • Creative + AI Reasoning: Multimodal Narrative Intelligence Engine
  • AI Ethics & Bias Detection Tool (Powered by Google Gemini)
  • Developer & Data Science Tools
  • Supply Chain & Forecasting AI
Smriti Bajaj
  • How Data Looks in a Quantum Computer
Mou Rakshit
  • Real-Time Intelligence: Turning Streaming Data into Smart Decisions
  • AI-Powered Real-Time Intelligence: Transforming Data-Driven Decisions with Microsoft Fabric & GenAI
  • Designing Conversational BI: How Databricks AI/BI Genie Unlocks Self-Service Insights
Shishir Tewari
  • Scalable Customer Lifecycle Intelligence
  • Rearchitecting Financial Data Processing for Petabyte-Scale Allocation
Kayla Boor
  • Accidental friends: how a DBA and an SRE worked together to optimize the system.
John Kerski
  • DataOps 101 – A Better Way to Develop and Deliver Data Analytics
  • Leveraging Large Language Models with Power BI
  • Querying SharePoint Data in Power BI - Options & Performance
  • Querying Power BI REST APIs within a Power BI Dataset
  • What is Power BI Developer Mode?
Sudhir Amin
  • Beyond Traditional DBA Practices - Transforming T-SQL Scripting Expertise into AI Agents
John Miner
  • Many ways to track changes in SQL Server
  • Introduction to the data build tool (dbt)
  • Fabric Data Engineering with Python Notebooks
  • Building a reporting warehouse using Fabric
  • Understanding file formats within the Fabric Lakehouse
Mohamed Mortadha Manai
  • Building Agentic AI Workflows with xAI on Vertex AI: From Code to Action
Jonathan Stewart
  • Fabric Copilot: Consumption and Cost Demystified
  • Ethical Data Storytelling & Visualization Amidst Crisis and Complexity
  • Building Scalable Data Warehouses with Microsoft Fabric:
  • The Fabric Fast Track Workbook: Deploy Enterprise Analytics in 90 Days
Rajesh Vayyala
  • Why Everyone Has Data but No One Trusts It
  • Designing Enterprise Semantic Models for Consistent Analytics
  • Medallion Architecture in Practice: What Data Engineers Should Know
Yamini Pradeepika Rathamsetty
  • AI Career Kickstart: Building Your Future in Machine Learning"
  • "AI Made Simple: Your First Machine Learning Journey"
  • "Agentic AI in Production: Teaching Machines to Learn Without Breaking Everything"
  • From Zero to Cloud Hero: How I Became a Thought Leader (And You Can Too!)
Karunakar Kotha
  • Moving to Azure SQL from VM-based SQL