Tursio CEO and co-founder Alekh Jindal writes in Forbes Technology Council that banks and credit unions need their own "Google moment" for data. Search engines made finding information something anyone can do on their own. At most financial institutions, though, getting answers about members still means filing a request with a few specialists and waiting days or weeks. Jindal argues that AI-powered natural language search can finally put that data directly in the hands of the staff closest to members. He adds that credit unions and community banks are less likely to build their own in-house AI teams, which leaves them free to adopt the best tools as the technology evolves.

Banks And Credit Unions Need Their Own Google Moment - For Data
Forbes
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Tursio CEO on Enterprise AI Search and Regulated Data.
MarTech Edge
Tursio co-founder and CEO Alekh Jindal spoke with MarTech Edge about turning enterprise data into something business users can query in plain language. He covers why context beats architecture as the real differentiator, how on-premises deployment keeps credit unions in control of member data, and why running on a customer's own Azure subscription gives Tursio a reason to cut token usage instead of grow it.
Practical bits for the entry: published Sep 16, 2026, on MarTech Edge.
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Tursio to Present at VLDB 2026 on How Credit Unions Can Query Symitar Core Data in Plain Language Without a Data Analyst in the Loop
CityBiz
Accepted demonstration paper details how an automatically generated context graph resolves core banking schema complexity — deployed entirely inside a credit union's own security boundary
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Tursio Takes Credit Union Plain-Language Data Search to VLDB 2026
MarTech Edge
Tursio, a structured data search platform for credit unions and other regulated industries, has been accepted into the demonstration track of VLDB 2026, the 52nd International Conference on Very Large Data Bases, taking place Aug. 31 through Sept. 4 in Boston.
Building context has emerged as one of the most critical problems in AI, and Tursio’s paper, "Tursio for Credit Unions: Powering Structured Data Search with Automated Context Graph," describes how to generate the context graph for core data in credit unions. It includes both the data semantics and the business rules that help resolve ambiguities in the underlying schemas. The Tursio platform later uses that graph to turn plain-language questions into accurate, governed SQL queries constrained by business rules, without the months of manual setup that most AI/BI tools require.
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Tursio to Present at VLDB 2026 on How Credit Unions Can Query Symitar Core Data in Plain Language Without a Data Analyst in the Loop
Finopotamus
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Tursio to Demonstrate Credit Union Data Search at VLDB 2026
Global Fintech Series
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CU Times (Expert Opinion, by Alekh Jindal)
CU Times
Every credit union has two groups that rarely talk directly: the people who know where the data lives, and the people who have the questions.
Our CEO Alekh Jindal wrote about that gap for CU Times and how Corning Credit Union closed it, cutting data requests from a two-to-three-week sprint cycle down to a direct, self-service search: [link]
Worth a read if your team is still routing every question through IT.
Read the full article here.
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CFOtech: Corning Credit Union adds plain-language search with Tursio
CFOtech
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Global Fintech Series: Corning Credit Union brings self-service search to member data
Global Fintech Series
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Global Fintech Edge features Tursio's deployment at Corning Credit Union
Global Fintech Edge
Global Fintech Edge covered how Corning Credit Union's product and support teams now answer their own member data questions with Tursio, ending the intake-committee-and-sprint-backlog wait for routine requests.
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Finopotamus covers Corning Credit Union's self-service search with Tursio
Finopotamus
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CityBiz reports on Corning Credit Union's Tursio deployment
CityBiz
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