📷 **Webinar: Zingg June Community Event – Open Source Modular Notebook on Databricks**
Date: Thursday, June 4, 2026 | 8:30 PM IST (11 AM EST)
Price: Free
Registration: https://t.co/HwtoSXwCy2
#ZinggAI#Databricks#Opensource#CommunityEvent
⭐ Is entity-centric matching slowing your data pipeline down?
Missed matches. False positives. Data you can't trust. 😬
We unpack where it breaks 👇
👉 https://t.co/9TXEihx5cB
#DataMatching#DataQuality#Zingg
Sonal Goyal explained this in an episode on the DataTalksClub channel—diving into how identity plays a central role in building meaningful graph models.
Full Video: https://t.co/trQYpZSsNZ
#ZinggAI#EntityResolution
Customer Data Platforms unify data from multiple sources into a single customer profile, enabling personalized marketing experiences built for marketing teams.
Learn how CDPs help businesses better understand their customers:https://t.co/OrQHFFMcOZ
#ZinggAI#CDP
Fragmented data systems let fraudsters exploit blind spots across institutions. Every $1 of fraud costs $4.41 in real losses. Enable early detection using Entity Resolution:https://t.co/psrpAw7QrU
#ZinggAI#EntityResolution
Entity resolution without explainability is a compliance risk. Every match decision must be traceable, auditable, and defensible for regulated industries.
Check out the must-have & premium features of an entity resolution-powered MDM: https://t.co/IbTztxiWGf
#MDM#ZinggAI
Traditional MDM extracts data into separate hubs, creating silos that regulations penalize and AI can't traverse. Traditional MDM extracts data into separate hubs, creating silos.
Check Out How Zingg Solves This: https://t.co/RT3Ob3BWyf
They're half right. Traditional MDM is dead. But entity resolution-powered MDM is alive.
ML-based matching runs natively in your warehouse—no data movement.
Discover What Replacing Traditional MDM:https://t.co/XtdKJDwuNM
#MDM#ZinggAI
@nutanc I am bullish on Indian startups building for the world. Many of us are building core data and AI systems, with great traction and adoption. Check @SignozHQ, @zinggoss , Clearfeed. Or @AtlanHQ
1/Vibe coding has everyone debating whether SaaS is dead.
Both sides — "just build it yourself" vs "a POC isn't a product" — have a point.
But they're both arguing about the wrong thing. 🧵
3/Most enterprises aren't going to build their own CRM or payroll system.
But they are going to build custom AI agents — tailored to their workflows, their industry, their edge.
And those agents are useless without the data that lives inside SaaS systems.
4/Think about what that means in practice:
→ A procurement agent that can't read your ERP → A sales agent that can't query your CRM → A support agent that can't see your ticketing history
Powerful AI. Crippled by locked data.
5/Data lock-in was never just a feature, it was the moat.
Salesforce, Workday etc built empires on the gravitational pull of accumulated data.
The switching cost wasn't the product. It was your own history, trapped inside someone else's system.
6/AI is now making that lock-in impossible to ignore.
Enterprises will demand data portability as a baseline — not a paid add-on, not a negotiation point. A requirement.
MCP is an early signal. But it's barely the beginning.
7/Real openness means: → Real-time data access → Structured, reliable APIs → Granular permissions → Data that moves across systems without friction
The vendors who get there first win the next decade.
8/The SaaS vendors who thrive won't be the ones who held their data tightest. They'll be the ones who had the vision — and the courage — to let it flow.