Reltio Expands AI/ML Innovation

• Unveils Industry-first Pre-Trained ML Model for Automated Entity Resolution

• Latest release delivers out-of-the-box, industry and domain-specific ML models for unifying core data in a fraction of the time and cost

As Artificial Intelligence (AI) and Machine Learning (ML) technologies disrupt traditional business models, Reltio is changing the game with real-time AI-driven Master Data Management (MDM). Reltio, a leading cloud-native, SaaS MDM platform, announced new ML capabilities with its rollout of the Reltio Connected Data Platform 2023.2 release. Reltio’s technology focus in its 2023.2 release is on Entity Resolution – widely considered one of the most complex of all MDM challenges. Reltio has augmented entity resolution capabilities with the industry’s first pre-trained ML models.

“The indispensable partnership between AI/ML and data management empowers businesses with trusted, high-quality data, driving real-time operations and insightful analytics powered by machine learning.”

Entity Resolution is the process of identifying and reconciling records from different systems across the entire enterprise into one entity for use across business processes. As application proliferation continues to grow exponentially across organizations, unifying data across siloed sources becomes increasingly challenging. Many organizations deploy teams of data stewards to manage this through manual processes.

Reltio has leveraged AI/ML so that customers can quickly and accurately achieve value from their Customer, Product, Supplier, and other Core business data domains. Unlike other solutions that require weeks of manual effort before the ML recommendations can be effective, Reltio’s entity resolution capability delivers instant value. Industry and domain-specific ML models can now be enabled with a click of a button and make it easy for data stewards to review and consolidate matches – ultimately yielding high-quality data for the organization to use, and greater efficiency in data management. Reltio’s Connected Data Platform provides trusted high-quality matching recommendations out of the box, and in a fraction of the time and cost previously required.

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“Reltio is pioneering the future of modern data management through substantial investments in AI/ML, sparking innovation, and delivering swift and superior value to our customers,” said Manish Sood, CEO, Founder, and Chairman of Reltio. “The indispensable partnership between AI/ML and data management empowers businesses with trusted, high-quality data, driving real-time operations and insightful analytics powered by machine learning.”

“We see enormous potential to harness the recent advancements of Large Language Models (LLMs) and Generative AI, brought into prominence by ChatGPT for areas like entity resolution and data quality, positioning Reltio at the forefront of AI-centric enterprises. AI/ML’s role in data management platforms bolsters the accuracy, efficiency, and overall value, leading to superior data quality and trustworthy outputs,” Sood continued. “Our investments reflect our belief in this dynamic synergy between AI/ML methodologies and data management processes, highlighting our commitment to more precise, faster, and resource-efficient operations.”

Today’s news includes new features and functionality for the Reltio Connected Data Platform Version 2023.2, designed to accelerate MDM implementations, strengthen data unifications, and enhance performance and reliability. For a full list of Reltio Connected Data Platform Version 2023.2 features and attributes, read this blog post.

Reltio was recently named a Leader in “The Forrester Wave™: Master Data Management, Q2 2023” report by Forrester Research, Inc. The report highlighted “Reltio’s real-time AI-driven MDM delivers exceptional data quality and customer 360”.

Reltio proudly serves companies of all sizes, including 14 of the Fortune 100, and globally recognized customers such as Pfizer, L’Oréal, Xerox, CarMax, Takeda, and AstraZeneca – all of which rely on the Reltio platform.

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