Reltio has announced significant updates to its AI-powered Connected Data Platform, aimed at enhancing user experience and adding additional functionality for data stewards across various organisational roles. These updates present several new features and benefits designed to address the growing needs of data-driven enterprises.
The latest release includes developments across three key products: the Reltio Customer 360 Data Product, Reltio Multidomain MDM, and Reltio Entity Resolution. Reltio has expanded its generative artificial intelligence (GenAI) capabilities, introduced new Product and Supplier velocity packs, and enhanced audience segmentation capabilities.
Manish Sood, CEO and Founder of Reltio, stated, "Trusted data is the cornerstone of successful business transformation and AI, which is why we are excited to deliver market-leading products that revolutionise data unification and management. Our customers rely on us to deliver consistently reliable data in milliseconds and at scale for their business-critical operations."
"This newest version of our platform is rich in features and benefits to help boost performance, speed, and ease of use. It also provides even more value through our greater use of GenAI, so our customers can more quickly extract valuable insights and gain a competitive edge through analytics, machine learning, and data science."
One key enhancement is the new audience segmentation and activation capabilities within the Reltio Customer 360 Data Product. This feature provides sales, service, and marketing teams access to the right data at the right time. Users can now create, manage, and activate dynamic customer data segments with a new user interface and enhanced GenAI-driven skills for data exploration. In addition, the Reltio Intelligent Assistant (RIA), a GenAI-powered conversational assistant, enables users to explore customer data and create granular, dynamically updated segments.
Under the Reltio Multidomain MDM product, new velocity packs have been introduced to help users kickstart their master data management journeys. These packs include industry-specific data models and prebuilt components. Specifically, Reltio for Supplier unifies and standardises supplier data across the enterprise, optimising supply chain performance and reducing compliance risks. Reltio for Product aims to help users manage inventory effectively and boost product sales, featuring prebuilt data models and configurations that lower error risk and speed up time-to-value.
The release also includes the Reltio Business Critical Edition, a premium business continuity offering for Reltio Multidomain MDM and Reltio 360 Data Product customers. This edition addresses the need for continuously available, trusted, real-time data for mission-critical business operations. It offers multi-zone, mirrored tenants, hot standby disaster recovery, and cross-region failover capabilities. With recovery-time objectives of less than four hours and recovery-point objectives of less than five minutes, this edition ensures enterprises maintain real-time data integrity even in the face of unexpected challenges. Additional features include AWS PrivateLink for secure data transfer and Reltio Shield for data encryption using customer-specific keys.
Venki Subramanian, SVP of Product Management at Reltio, commented, "This release is a testament to our commitment to driving innovation and delivering value to our customers. Our enhanced generative AI capabilities and new user experience for segmentation empower enterprises to create dynamically managed customer segments with ease. The addition of Reltio's premium business continuity offering with cross-regional disaster recovery ensures that our customers can maintain real-time data integrity, even in the face of unexpected challenges."
Stewart Bond, Vice President of Data Intelligence and Integration Software Research at IDC, noted, "To fuel the rise of generative AI, we're seeing a tremendous growth in the importance of clean, accurate, and unified real-time data. Better data intelligence is not only foundational for modern data environments, it truly is also an imperative."
