ISG Software Research Analyst Perspectives

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

Kyvos Provides Semantic Context for BI and AI

Posted by Matt Aslett on 27 October 2026

I have recently written about the renewed focus on semantic modeling and semantic layer software and the role they play in providing context for generative artificial intelligence (GenAI) and agentic AI. Semantic modeling has always been a critical enabler for business intelligence (BI), adding agreed-upon definitions and meaning to data to facilitate business understanding. It is also now... Read More

Topics: Operations, Analytics, Generative AI, AI & Technologies, AI & Machine Learning

Evaluating the State of Automation in Data Management and Operations

Posted by Matt Aslett on 22 October 2026

Data management and operations have always been potential facilitators of business insight, as well as potential barriers. Data management and operations tasks, including data governance, data integration and data quality, can improve trust in data and enable faster business decisions. These tasks are also traditionally highly complex and manual, providing the potential for badly managed data... Read More

Topics: Governance, Operations, Data Intelligence, AI & Technologies

Capital One Offers Cost and Security Management for Data and AI

Posted by Matt Aslett on 20 October 2026

Widespread adoption of cloud-based data platform services provided many enterprises with flexibility and agility as well as lowered costs through the avoidance of overspending on infrastructure. Many early adopters also found that delivering sustainable cost and flexibility benefits from cloud-based data platforms was dependent upon dedicated investment of time and resources in cost and... Read More

Topics: Governance, Operations, Cybersecurity, Data Platforms, IT & Technologies, AI & Technologies, Compute, Edge, Network & IOT

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

The Critical Importance of Critical Data Elements

Posted by Matt Aslett on 01 October 2026

I have written before about how enterprises are realizing the importance of data management if they are to succeed in implementing artificial intelligence and enabling agentic decision-making. Data quality and veracity are important aspects of increasing trust in the data used to generate content and automate decisions. More fundamentally, however, a successful data strategy depends on an... Read More

Topics: Governance, Operations, Data Intelligence, AI & Technologies

Acceldata Accelerates Autonomous Data and AI

Posted by Matt Aslett on 09 September 2026

The emergence of artificial intelligence (AI) agents capable of automating enterprise decision-making has placed greater focus on the need for trusted and reliable data. As I recently explained, the guardrails provided by agent harnesses ensure the output of agents and large language models (LLMs) is grounded by enterprise data. The accuracy and trustworthiness of the content are dependent on the... Read More

Topics: Operations, Generative AI, AI & Technologies, AI & Machine Learning

Everything is Context: The Many Layers of Context for Enterprise AI

Posted by Matt Aslett on 19 August 2026

I have previously described how context is everything when it comes to establishing enterprise trust in the output of generative and agentic artificial intelligence. Based on our recent interactions with analytics and data software providers, it might be more accurate to say that context is everywhere, as almost all providers of analytics and data software are currently positioning products in... Read More

Topics: Operations, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI & Machine Learning, AI Governance

Boomi Enables Enterprise Data and Agent Activation

Posted by Matt Aslett on 29 July 2026

As an increasing proportion of enterprise software becomes replaced or augmented by artificial intelligence agents, capabilities for application, data and API management are evolving accordingly. Orchestrating communication and integration among applications, data, systems, tools and processes is essential to enabling agents to execute business processes through autonomous actions. Established... Read More

Topics: Operations, Generative AI, AI & Technologies, AI & Machine Learning, AI Governance

Moving Towards a Holistic Approach to Data Management and Operations

Posted by Matt Aslett on 15 July 2026

As enterprises embracing artificial intelligence move from initial pilots and trial projects through deployment and into production at scale, many are realizing the critical importance of reliable data management and agile, responsive data operations (DataOps) processes to improve trust in the data used for AI and business intelligence. With an emphasis on agility, automation and continuous... Read More

Topics: Operations, Data Intelligence, AI & Technologies, AI & Machine Learning, AI Governance

IBM Addresses Autonomous Database Administration for Db2

Posted by Matt Aslett on 01 July 2026

I have previously written about the emerging requirements for database management systems, including the use of artificial intelligence to automate and accelerate the execution of database administration tasks. These emerging requirements have provided an opportunity for new and established data platform providers to differentiate in a crowded and competitive market. IBM is a prime example of an... Read More

Topics: Operations, Business Planning, Data Platforms, Generative AI, AI & Technologies, AI & Machine Learning

Domo Adds Context to Platform for Analytics and AI

Posted by Matt Aslett on 29 April 2026

I have recently written about the importance of context in relation to agentic artificial intelligence, including the growing use of Model Context Protocol to enable LLMs, agents and applications to communicate with data platforms, file systems and development and productivity tools, and the importance of semantic data modeling to provide agreed definitions that reflect the meaning of entities,... Read More

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

Five9 Bets on Integrations and Partners as the Path From CCaaS to CX

Posted by Keith Dawson on 11 March 2026

It’s clear that the buyer requirements for Contact-Center-as-a-Service (CCaaS) products have moved well beyond traditional notions of “cloud” or “omnichannel” and now focus on how well software providers can make artificial intelligence (AI) workflows real. The differentiation among CCaaS platforms is not so much about how well interactions are handled, but how the platforms embed within complex... Read More

Topics: Operations, Five9, automation, Contact Center, agent management, Customer Experience Management, CCaaS, Generative AI, Customers and CX - Business & Technologies, Workflow, ServiceNow, Salesforce

Alteryx Has a Unified Approach to Analytics and Data

Posted by Matt Aslett on 03 March 2026

Since Alteryx was acquired by Clearlake Capital and Insight Partners in March 2024, the company has taken the opportunity to revamp its product portfolio and refresh its executive team. Alteryx has always offered a combination of functionality that spans the data and analytics lifecycle, including data integration, data preparation and data quality, as well as the development of analytics... Read More

Topics: Operations, Analytics, Generative AI, AI & Technologies, AI & Machine Learning

Autonomy Is Key for Effective Sovereign AI and Data Strategies

Posted by Matt Aslett on 26 February 2026

The term “sovereign AI and data” became increasingly prevalent in recent years, initially driven by cloud infrastructure providers responding to the need to support regional regulations with sovereign cloud offerings. However, the use of sovereign cloud infrastructure is not required to deliver compliance with data sovereignty regulations. In fact, our research indicates that having the autonomy... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, IT & Technologies, AI & Technologies, Cloud Infrastructure, Platforms, AI & Machine Learning

Assessing Organizational Approaches to Data and Analytics

Posted by Matt Aslett on 03 February 2026

I previously stated that too many enterprises allow the IT department to be wholly responsible for data and analytics, with the risk that strategies become divorced from business objectives and KPIs. I also stated that a pragmatic approach to organizing and operating data, analytics and artificial intelligence (AI) initiatives is essential to treating data as a business discipline. There are... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, Streaming & Events, AI & Machine Learning

Actian Combines Data Intelligence and Observability

Posted by Matt Aslett on 20 January 2026

I previously described data intelligence as fundamental to providing data analysts and business users with governed self-service access to data across an enterprise by delivering information about how data is produced and consumed across the organization. Data intelligence relies on a combination of technical and business metadata and functionality for knowledge graph, data inventory, data... Read More

Topics: Governance, Operations, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI & Machine Learning

The Evolution of AI for Data Operations

Posted by Matt Aslett on 23 December 2025

ISG recently published the 2025 ISG Buyers Guides for DataOps, providing an assessment of 51 software providers offering products used by data engineers, data scientists, and data and AI professionals to facilitate the use of data for analytics and AI needs. The DataOps Buyers Guide research generated three reports and five quadrants assessing providers in relation to overall DataOps, Data... Read More

Topics: Operations, Generative AI, AI & Technologies, AI and Machine Learning

SAP Business Data Cloud Addresses Intelligent Data Products

Posted by Matt Aslett on 11 December 2025

A little over two years ago, I observed that the pendulum of fashion in the data management sector was swinging away from multiple best-of-breed tools and toward consolidated platforms. Enterprise software portfolios take time to evolve, but the trend toward consolidation has clearly been evident in the product strategies of large data management providers since then. Many providers have combined... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI and Machine Learning

DataOps.live Enables Data Engineering Acceleration

Posted by Matt Aslett on 26 November 2025

I have previously written about the critical importance of data management to the development of artificial intelligence (AI) applications and agentic AI. The importance of data management is nothing new, but automation of business processes and decision-making raises the stakes in terms of the expectations and the risks. The need for enterprises to have trust in their data governance and data... Read More

Topics: Governance, Operations, Data Platforms, Generative AI, AI & Technologies, AI and Machine Learning

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