Julienne Biglin
Employers on the program
- 2025–2026Crisp2 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Data + AI Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 15, 2026 | Data + AI Summit 2026 | Data + AI Summit | speaker | Global Toymaker ZURU Fuels AI-Driven Innovation with Crisp Retail Data in Databricks as Crisp ZURU (Mini Brands, Snackles, Bunch-O-Balloons, and the latest plush trends) operates at the cutting edge of modern retail by investing in strong data…Show lessZURU (Mini Brands, Snackles, Bunch-O-Balloons, and the latest plush trends) operates at the cutting edge of modern retail by investing in strong data infrastructure and enabling organization-wide intelligence. Teams leverage centralized AI-ready insights across major retailers, to inform fast daily decisions across inventory, marketing, product, and more. Retail-specific semantic modeling creates a trusted foundation for AI workflowsAt the core of ZURU’s retail strategy is Databricks. Clean, real-time data is delivered into Databricks daily via Crisp, and informs Agentic AI workflows across supply chain, sales, and marketing.AI-enabled retail intelligence has been the key for ZURU to scale their multi-category business globally.This session explores how pairing clean, AI-ready data from Crisp with Databricks enables responsive decision-making and supply chain excellence at retail scale. | |
| Jun 9, 2025 | Data + AI Summit 2025 | Data + AI Summit | speaker | Maximize Retail Data Insights in Genie with DeltaSharing via Crisp’s Collaborative Commerce Platform as Crisp Crisp streamlines a brand’s data ingestion across 60+ retail sources, to build a foundation of sales and inventory intelligence on Databricks. Data is…Show lessCrisp streamlines a brand’s data ingestion across 60+ retail sources, to build a foundation of sales and inventory intelligence on Databricks. Data is normalized and analysis-ready, and integrates seamlessly with AI tools - such as Databricks’ Genie and Blueprints. This session will provide an overview of the Crisp retail data platform and how our semantic layer, normalized and harmonized data sets can help drive powerful insights for supply chain, BI/Analytics, and data science teams. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Abhinav Bhatnagar | 2 | — | 2026 |
| Abhishek Bhagwat | 2 | — | 2026 |
| Abhishek Narang | 2 | — | 2026 |
| Adam Crown | 2 | — | 2026 |
| Adam Gurary | 2 | — | 2026 |
| Adam Komisarek | 2 | — | 2026 |
| Adriana Ispas | 2 | — | 2026 |
| Ahmed Bilal | 2 | — | 2026 |
| Ajali Sen | 2 | — | 2026 |
| Akram Chetibi | 2 | — | 2026 |
| Alan Jackoway | 2 | — | 2026 |
| Aleksandar Dragojevic | 2 | — | 2026 |
| Alex Lichen | 2 | — | 2026 |
| Ali Ghodsi | 2 | — | 2026 |
| Allison Wang | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.