ISG Software Research Analyst Perspectives

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for Author: Mukesh Ranjan

Anomalo Extends Data Observability Towards Self-Driving Data

Posted by Mukesh Ranjan on 27 October 2026

Enterprises are accelerating investments in analytics, artificial intelligence (AI) and agentic applications, increasing the importance of trusted and well-governed data. As enterprises expand the use of structured, semi-structured and unstructured data, traditional rule-based approaches to data quality and data observability can struggle to cope. Data teams are under pressure to detect anomalies... Read More

Topics: Operations, AI & Technologies

Denodo’s Platform Enhancements to Extend Logical Data Management Era

Posted by Mukesh Ranjan on 15 October 2026

As enterprises accelerate investments in agentic artificial intelligence (AI), advanced analytics and data-driven decision-making, the ability to provide trusted, governed and real-time access to distributed data has become increasingly important. Many enterprises continue to contend with fragmented data estates spanning cloud platforms, on-premises systems, software-as-a-service (SaaS)... Read More

Topics: Operations, Analytics, Generative AI, Data Intelligence, AI & Technologies

Teradata Advances Autonomous Knowledge Platform for Agentic AI

Posted by Mukesh Ranjan on 21 May 2026

A core challenge faced by enterprises due to the rapid rise of generative artificial intelligence (GenAI) and agentic AI is how to operationalize AI systems that rely on vast volumes of unstructured and multimodal data without compromising governance, scalability or performance. While early retrieval‑augmented generation (RAG) experiments fuelled interest in vector databases, many organizations... Read More

Topics: Data Platforms, Generative AI, AI & Technologies, AI & Machine Learning