Zeta Global Joins Forces with Snowflake to Spearhead Open Semantic Interchange to Establish a Universal Data Standard for AI-Powered Marketing

Key Terms

open semantic interchange technical

A method of sharing data where information is tagged and structured so different systems can understand its meaning, not just its format. Think of it like everyone agreeing on shared labels and a common filing system so data from different places can be combined and searched quickly; investors care because it speeds reliable data integration, improves accuracy for analytics and compliance, and lowers the cost and risk of connecting business systems or using AI-driven insights.

semantic model technical

A semantic model is a structured representation that maps raw data into clear, meaningful concepts and relationships, like turning rows in a spreadsheet into labeled boxes and arrows that show how pieces fit together. For investors, it matters because it makes complex information — earnings figures, regulatory terms, or medical results — easier to compare, search and analyze, helping spot risks or opportunities faster than sifting through unstructured text.

semantic metadata technical

Semantic metadata is descriptive information attached to a document or data item that explains its meaning, context, and relationships—like brief, standardized sticky notes that tell you what a report is about, who it concerns, and how it links to other items. For investors it matters because it makes market news, filings, and announcements easier to find, compare and analyze automatically, improving research, screening, portfolio monitoring and the accuracy of trading or compliance systems.

business intelligence (BI) technical

Business intelligence (BI) is the set of tools, processes and reports that turn a company’s raw data—like sales, costs and customer behavior—into clear, timely insights managers can act on. Think of it as a dashboard or map that helps leaders spot trends, fix problems and make forecasts. Investors care because effective BI can improve profitability, reveal risks early and make future performance easier to predict, influencing valuation and investment decisions.

data governance technical

Data governance is the set of rules and practices that ensure information is accurate, consistent, and used responsibly within an organization. It is like a well-organized library system that keeps track of all the books, making sure they are correct, easy to find, and used properly. For investors, strong data governance helps ensure that the information they rely on is trustworthy and decisions are based on reliable data.

data engineering technical

Data engineering is the practice of collecting, cleaning and organizing large amounts of business information so it’s reliable and ready for analysis, like building and maintaining the pipes and filters that carry clean water to a city. For investors, strong data engineering means a company can measure performance accurately, spot trends faster, and scale operations without costly errors or delays, affecting forecasting, risk assessment and the value of technology investments.

machine learning models technical

Machine learning models are computer programs that learn patterns from past data to make predictions or decisions without being explicitly programmed for each task. For investors, they matter because they can improve forecasting, automate routine work, reduce costs or introduce new risks; think of them as a smart assistant that learns from past results like a chef refining recipes, helping businesses spot opportunities or mistakes faster.

ai data cloud technical

An AI Data Cloud is like a giant online storage space where companies keep all their data and use artificial intelligence to analyze it. This helps businesses find patterns, make better decisions, and create new products faster, much like how a smart assistant can help you organize and understand a lot of information quickly.

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Initiative brings together leading data, AI, and marketing platforms to eliminate the fragmented definitions that undermine enterprise AI and analytics

NEW YORK--(BUSINESS WIRE)-- Zeta Global (NYSE: ZETA), the AI Marketing Cloud, today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification. OSI aims to enhance interoperability across various tools and platforms, offering enterprises a vendor-neutral specification that provides consistent metrics and definitions across dashboards, notebooks, and machine learning models.

OSI is an open source initiative led by Snowflake, the AI Data Cloud company, and ecosystem partners across multiple domains and industries including business intelligence (BI), data governance, data engineering, AI, financial services, and manufacturing. Its goal is to create a common, vendor-agnostic specification that defines semantic metadata in a standard, open format. By facilitating seamless semantic metadata exchange, the initiative will accelerate the adoption of AI and BI tools to streamline operations and reduce complexity. This in turn allows organizations to unify their data definitions, leading to more comprehensive and accurate data analysis and data product sharing to fuel AI innovation.

“AI is only as effective as the data it can trust. Zeta processes trillions of consumer signals across the marketing ecosystem, and we see firsthand how fragmented definitions erode trust in analytics and AI,” said Christian Monberg, Chief Technology Officer and Head of Product at Zeta Global. “That’s why working with Snowflake through the Open Semantic Interchange is so important. By aligning on a common foundation for how business metrics are defined and shared, we can help customers unlock more consistent insights and better outcomes across their marketing and data ecosystems.”

As a member of OSI, Zeta is helping to build a transparent and community-driven standard for semantic model sharing, ensuring that business metrics and definitions remain consistent and interoperable. For Zeta's enterprise customers, OSI adoption means their ZMP data and insights can interoperate seamlessly with the broader data and AI tools in their stack, reducing integration friction and accelerating time to value.

“Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock,” said Josh Klahr, Director of Analytics Product Management at Snowflake. “Our collaboration with partners like Zeta establishes a unified, vendor-neutral standard for semantic data, ensuring clarity and consistency across the entire ecosystem. This initiative is essential for simplifying data operations, fostering innovation, and preparing organizations to build the next generation of AI applications.”

OSI is poised to revolutionize interoperability within the data and AI ecosystem by providing a transparent, community-driven standard. This collaborative effort simplifies data operations, unlocks new possibilities for innovation, and gives organizations the flexibility and efficiency they need to build a future-ready data infrastructure.

To learn more about the Open Semantic Interchange visit Snowflake’s blog here.

About Zeta Global
Zeta Global (NYSE: ZETA) is the AI Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP®), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Forward-Looking Statements
This press release, together with other statements and information publicly disseminated by the Company, contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The Company intends such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in the Private Securities Litigation Reform Act of 1995 and includes this statement for purposes of complying with these safe harbor provisions. Any statements made in this press release that are not statements of historical fact are forward-looking statements and should be evaluated as such. Forward-looking statements include information concerning our anticipated future financial performance, our market opportunities and our expectations regarding our business plan and strategies. These statements often include words such as “anticipate,” “believe,” “could,” “estimates,” “expect,” “forecast,” “guidance,” “intend,” “may,” “outlook,” “plan,” “projects,” “should,” “suggests,” “targets,” “will,” “would” and other similar expressions. We base these forward-looking statements on our current expectations, plans and assumptions that we have made in light of our experience in the industry, as well as our perceptions of historical trends, current conditions, expected future developments and other factors we believe are appropriate under the circumstances at such time. Although we believe that these forward-looking statements are based on reasonable assumptions at the time they are made, you should be aware that many factors could affect our business, results of operations and financial condition and could cause actual results to differ materially from those expressed in the forward-looking statements. These statements are not guarantees of future performance or results.

The forward-looking statements are subject to and involve risks, uncertainties and assumptions, and you should not place undue reliance on these forward-looking statements. These cautionary statements should not be construed by you to be exhaustive and the forward-looking statements are made only as of the date of this press release. We undertake no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law. If we update one or more forward-looking statements, no inference should be drawn that we will make additional updates with respect to those or other forward-looking statements.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260514452184/en/

Investor Relations 
Matt Pfau 
ir@zetaglobal.com  

Press 
Krystina Puleo
press@zetaglobal.com

Source: Zeta Global