Sonal Goyal @sonalgoyal
Open source entity resolution, data matching and deduplication github.com/zinggAI/zingg Noida Joined June 2009-
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Agentic AI Is Only as Smart as Its Entities, by @sonalgoyal open.substack.com/pub/sonalgoyal… #agenticai #genai #llm
What a sad time to top JEE. Even if you score better than all the other students people will compare your score to AI 🥲
What a sad time to top JEE. Even if you score better than all the other students people will compare your score to AI 🥲
At Zingg.AI, identity resolution unifies fragmented records into trusted entities across domains — unlocking smarter insights without siloed limits. Master multidomain data. Build composable systems. Drive impact.
True clarity in data means mastering all your core domains — suppliers, products, parts, and more. Composable CDPs connect these domains, enabling flexible, scalable data ecosystems.
Ready to turn your data chaos into clarity? Let’s talk. zingg.ai/product/entity… #EntityResolution #Customer360 #ZinggAI
Forget fuzzy guesses. We can help you deliver a clean, unified Customer 360 view that your marketing, sales, and analytics teams actually want to use. Because treating one person like five customers? That’s so last decade. 😉
When your customer data looks like a jigsaw puzzle smashed on the floor... Don’t stress. At Zingg, we don’t just piece it together — we make sure every fragment belongs exactly where it should.
Entity Resolution is the quiet powerhouse behind: • Unifying fragmented identities • Enriching cross-system insights • Powering real-time personalization • Enhancing compliance and privacy
Entity resolution is strategic—it powers reliable decisions. At Zingg, we help cut through data chaos. Clarity isn't luxury; it's essential. Learn more: zingg.ai/?utm_source=x&… #EntityResolution #IdentityResolution #Customer360 #AI
Most loyalty programs fail—not because rewards are wrong, but because customer data is broken. If your systems treat 1 customer as 5 people, how do you reward loyalty? 🧠 Loyalty starts with recognition. 📊 Identity resolution makes it possible.
There is nothing beautiful about the rain when you're working class. It’s not poetry, it’s punishment. Three hours from Noida to Gurugram — soaked shoes, tired legs, dead phone. Rain means broken roads, endless traffic, and potholes deep enough to swallow bikes. Water pours…
Is your team truly confident in the data behind every decision? When customer profiles live in CRM, support and marketing systems, trust can erode—and so can results. A datalake-native entity resolution approach unifies records in place and slashes manual reconciliation.
What if your analytics missed over 80% of the truth? In North Carolina’s campaign finance records, analytics were nearly impossible without resolving identity. Donors were entered multiple times—spelled differently, scattered across systems, misattributed.
Most teams underestimate this problem. Different systems store data differently—schemas, formats, validation rules—all misaligned. No shared IDs. No clean joins. Just thousands of slightly different records that may or may not represent the same person.
Why Traditional MDM Tools Fail in 2024 Legacy MDM = duct tape on a sinking ship. • Manual dedupes • Single-domain fixes • Spreadsheets everywhere They treat symptoms — not the root cause: fragmented, disconnected data.
Zingg.AI is hiring! 💥 🔹 Role: Software Engineer (Full-time) 🎯 You have: • BTech/MTech in CS or Math (Tier 1) • 1–2 yrs writing clean, fast, smart code 📍Apply here 👉 lnkd.in/drtRfaGN Let’s build the future of identity resolution, together.
💸 How Data Domains Get Fragmented — And Why It’s Costing You Data fragmentation isn’t just a tech issue. It’s a business problem. Customer info is scattered across CRM, support, marketing, billing. Product catalogs are duplicated inconsistently. The result?
Struggling with multiple records belonging to the same customer/supplier/entity? These records have variations across fields, making it hard to combine them together, especially with growing data volumes. Sharing our oss. HTH. github.com/zinggAI/zingg

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