Companies
Walmart
Product category: Not a vendor 55% confident
Org type: End-user enterprise 100% confident
Also listed as 11 other names
WALMART · WALMART GLOBAL TECH · WALMART, Chile · Walmart Canada · Walmart Data Ventures · Walmart Global Tech · Walmart Inc · Walmart International · Walmart Labs · Walmart Technology · WalmartLabs
Conferences sponsored3
Events sponsored6
Speaker slots6558 distinct people
Conferences present at30sponsor or speaker
Years active2019–2026
Talks, past 12 months10#141 on the communication index · many voices · −75% this yearCircuit mix
Where Walmart shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos32%18 events
- Modern data stack & practitioner20%8 events
- Open-source data infrastructure10%6 events
- Vendor flagships & roadshows8%5 events
- AI engineering & MLOps8%5 events
- Python & R data science7%4 events
- Software engineering7%4 events
- Research3%1 event
- Postgres & open-source databases2%1 event
- Microsoft data platform2%1 event
The year around now
Conferences where Walmart sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
11
2
1
2
5
5
15
6
Distinct speakers
People from this company on a program that year, each counted once.
18
1
2
2
6
6
19
7
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Silver
- Other / unlabeled
3
1
1
1
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Steady 1
Sponsored in most years of its span at the same tier.
- Women in Data Science (WiDS) Conference4 of 6 years 2019–24, tier not listed
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- NeurIPS (Conference on Neural Information Processing Systems)once, 2019, Silver
- Strata Data Conferenceonce, 2019, unranked tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- IBM0.69
- Domino Data Lab0.65
- Alluxio0.62
- Intel0.59
- Google0.59
- Amazon Web Services0.57
- H2O.ai0.57
- Pure Storage0.57
16 Cluster: ODSC · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 6 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 6 | 100% | |
| IBM | 4 | 67% |
| MathWorks | 4 | 67% |
| Meta | 4 | 67% |
| Microsoft | 4 | 67% |
| Wells Fargo | 4 | 67% |
| Amazon Web Services | 3 | 50% |
| General Motors | 3 | 50% |
| Intuit | 3 | 50% |
| Two Sigma | 3 | 50% |
| Boeing | 2 | 33% |
| Dataiku | 2 | 33% |
| Gilead Sciences | 2 | 33% |
| 2 | 33% | |
| SAP | 2 | 33% |
Neighborhood: companies with nearby conference footprints
Walmart (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 6
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| WiDS Stanford Conference 2024 | Mar 8, 2024 | Stanford, United States | — | Unlabeled |
| WiDS Stanford Conference 2023 | Mar 8, 2023 | Stanford, United States | — | Unlabeled |
| WiDS Stanford Conference 2020 | Mar 2, 2020 | Stanford, United States | — | Unlabeled |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Silver | Silver |
| Strata Data Conference San Francisco 2019 | Mar 25–28, 2019 | San Francisco, United States | Exhibitors | Other |
| WiDS Stanford Conference 2019 | Mar 4, 2019 | Stanford, United States | — | Unlabeled |
Speakers 65
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Deeksha Yennam | CDAO Dallas 2026 | panelist | Panel: How Many Agents Are You Running? Autonomy, Accountability and the New Org Chart | — |
| Karan Sinha | Data + AI Summit 2026 | speaker | Building Secure Retail Data Sharing at Walmart with Databricks OpenSharing | — |
| Karan Sinha | Data + AI Summit 2026 | speaker | Retail and Consumer Goods: The Shelf Starts with Sharing— Retailers and CPGs Unlock Growth Through Data Collaboration | — |
| Aditya Mulik | QCon AI Boston 2026 | speaker | Batch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience | — |
| Santiago Soto | CDAO México 2026 | speaker | Priorización Estratégica: Elegir las Iniciativas Adecuadas en Materia de Datos e Inteligencia Artificial | — |
| Revanth Chandupatla | OpenXData 2026 (April) | speaker | Building multi-tenant, multi-cloud Streaming Engines at biggest retailer on this planet scale | Video |
| Harshil Patel | Gartner Data & Analytics Summit 2026 (Orlando) | guest | Executive Story: Data Foundations a Key to Drive Digital Transformation and AI at Walmart-International | — |
| Ieshika Chandra | World AI Cannes Festival 2026 | featured | — | — |
| Aditya Kumarakrishnan | QCon AI New York 2025 | speaker | From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us About Outlasting the Cycle | — |
| Jake Mannix | QCon AI New York 2025 | speaker | From Copy-Paste to Composition: Building Agents Like Real Software | — |
| Vinod Bidarkoppa | The AI Summit New York 2025 | keynote | Retail Rewired: A Global Vision for Inclusive Innovation at Walmart | — |
| Kapil Poreddy | Open Source Data Summit 2025 | speaker | Cut spend, debug Fast: CDC-first lakehouse | Video |
| Kapil Poreddy | Data Con LA 2025 | speaker | From Fragments to Full Story - Replaying History from Snapshots and Streams | — |
| nidhin pattaniyil | PyData Seattle 2025 | tutorial | Building a Deep Research Agentic Workflow | — |
| Ravi Kumar Yadav | PyData Seattle 2025 | tutorial | Building a Deep Research Agentic Workflow | — |
| Nidhin Jose | OSA CON 2025 | speaker | Open Source Event-Driven Analytics for Real-Time Retail Inventory Management | — |
| Kapil Poreddy | PyTorch Conference 2025 | poster | Poster Presentations: Applied AI | — |
| Shalabh Agarwal | Airflow Summit 2025 | talk | Custom Operators in Action: A Guide to Extending Airflow's Capabilities | Slides · Video |
| Gregory Kinne | SQLSaturday Boston #1119 | — | High Quality T-SQL Deployments (CI/CD) | — |
| Ajay Bhonsule | Data + AI Summit 2025 | speaker | Cloud-to-Cloud Data Sharing by Walmart: Direct Access to Omni-Channel Sales Data With Delta Sharing | — |
| Alexandro Arreola-Garcia | Data + AI Summit 2025 | speaker | Self-Service Assortment and Space Analytics at Walmart Scale | — |
| Apurva Kumar | Data + AI Summit 2025 | speaker | Autonomous AI Agents in AI Infrastructure | — |
| Roberto Robles Nacif | Data + AI Summit 2025 | speaker | Cloud-to-Cloud Data Sharing by Walmart: Direct Access to Omni-Channel Sales Data With Delta Sharing | — |
| Sumanta Chatterjee | Data + AI Summit 2025 | speaker | Sponsored by: Skyflow | How to govern a billion sensitive records in your CDP | — |
| Balvinder Singh Banjardar | AI Con USA 2025 | speaker | Amazing Ways Retailers Are Using Generative AI | — |
| Ram Pedapatnam | Snowflake Summit 2025 | speaker | Building Scalable Asynchronous Event-Driven Apps: A Framework-Agnostic Approach | — |
| Srujana Kaddevarmuth | DataConnect West 2025 (DCCWest) | speaker | — | — |
| Aswini Atibuthi | CDAO West Coast 2025 | panelist | Panel: From Tactical Wins to Enterprise AI: Scaling Governance, GenAI, and Measurable Impact | — |
| Ishita Ghosh | Data Innovation Summit 2025 | featured | — | — |
| Omri Fima | PyData Tel Aviv 2024 | talk | Ibis framework - Making data science work at any scale. | — |
| Seema Swamy | CDAO Fall 2024 | panelist | PANEL DISCUSSION: AI-driven Personalization: How Gen AI Is Shaping Customer Experiences in Retail and E-commerce | — |
| Sriram Vamsi Ilapakurthy | Airflow Summit 2024 | talk | Exploring DAG Design Patterns in Apache Airflow | Slides · Video |
| Binwei Yang | Data Innovation Summit 2024 | featured | — | — |
| Seema Swamy | CDAO Spring 2024 | speaker | Presentation: Articulating the Value of Data Analytics & IA Projects to Leadership | — |
| Mauricio Álvarez | CDAO LATAM 2024 | speaker | — | — |
| Yogananda Seetharama | CDAO Canada 2024 | panelist | Panel Discussion: Getting Personal with Data: Analytics' Secret Sauce for Tailored Customer Experiences | — |
| Andrew Weaver | Cassandra Summit 2023 | talk | Embracing Multi-Cloud Cassandra at Walmart | — |
| Patrick Lee | Cassandra Summit 2023 | talk | Embracing Multi-Cloud Cassandra at Walmart | — |
| Ankur Ranjan | Open Source Data Summit 2023 | speaker | Enabling Walmart's data lakehouse with Apache Hudi | Video |
| Ayush Bijawat | Open Source Data Summit 2023 | speaker | Enabling Walmart's data lakehouse with Apache Hudi | Video |
| Nidhin Pattaniyil | PyData Seattle 2023 | tutorial | Building a Search Engine | Video |
| Sid Anand | QCon London 2023 | speaker | Building High-Fidelity Data Streams | — |
| Jayashree Atre | QCon San Francisco 2022 | speaker | AMA: Optimizing Teams | — |
| Navinder Pal Singh Brar | Data Summit 2022 | speaker | Customer 360 in a Box | — |
| Aashish Kapoor | Distributed SQL Virtual Summit Asia 2021 | speaker | — | — |
| Divya Goel | Distributed SQL Virtual Summit Asia 2021 | speaker | — | — |
| Navinder Pal Singh Brar | Data Summit Connect 2020 | speaker | Building a Real-Time Multi-Tenant Data Processing and Model Inferencing Platform | — |
| Deeksha Yennam | PyData Austin 2019 | speaker | Multilingual embeddings to scale NLP models to multiple languages | Video |
| Bill Groves | Chief Data & Analytics Officers, Fall 2019 | speaker | — | — |
| Atul Agarwal | DataHack Summit 2019 | speaker | — | — |
| Rajesh Shreedhar Bhat | DataHack Summit 2019 | speaker | — | — |
| Shibsankar Das | DataHack Summit 2019 | speaker | — | — |
| Sonu Sharma | DataHack Summit 2019 | speaker | — | — |
| Souradip Chakraborty | DataHack Summit 2019 | speaker | — | — |
| pramod singh | O'Reilly Artificial Intelligence Conference London 2019 | speaker | — | — |
| Xu Si | AI DevWorld 2019 | workshop | Graph Deep Learning for Entity Scoring in eCommerce Fraud Prediction | — |
| Yiyi Zeng | AI DevWorld 2019 | workshop | Graph Deep Learning for Entity Scoring in eCommerce Fraud Prediction | — |
| Alexey Shlykov | CDAO Canada 2019 | speaker | — | — |
| Cui Arroyo | CDAO Mexico 2019 | speaker | — | — |
| Edgar Trevino | CDAO Mexico 2019 | speaker | — | — |
| Andre Van Looveren | Percona Live Open Source Database Conference 2019 | speaker | Lessons Learned Building a Fully Automated Database Platform as a Service Using Open Source Technologies in the Cloud | — |
| Sandeep Jangra | Percona Live Open Source Database Conference 2019 | speaker | Lessons Learned Building a Fully Automated Database Platform as a Service Using Open Source Technologies in the Cloud | — |
| Naveen Peddamail | DataWorks Summit Washington, DC 2019 | speaker | Hive LLAP: A High Performance, Cost-effective Alternative to Traditional MPP Databases | — |
| SRIDHAR LEEKKALA | DataWorks Summit Washington, DC 2019 | speaker | How Walmart’s Big Data Solution Saved Finance Business Users Time and Money | — |
| Jeremy King | GTC 2019 | featured | Fireside Chat: Accelerating Innovation in the Enterprise | — |