ISG Software Research Analyst Perspectives

Microsoft Stretches Fabric to Operational Databases

Posted by Matt Aslett on 23 April 2026

I recently explained how providers addressing the full combination of artificial intelligence and data requirements through integrated AI and data platforms are increasingly attractive as enterprises look to accelerate initiatives and reduce costs and complexity. One example of a software provider that has combined AI and data capabilities is Microsoft with its Fabric data platform. First... Read More

Topics: Analytics, Data Platforms, Data Intelligence, AI & Technologies, AI and Machine Learning, Streaming & Events

Becoming a Predictive Finance Department

Posted by Robert Kugel on 21 April 2026

By now it should be obvious that artificial Intelligence (AI) and agents in all of their forms are on the brink of changing how finance and accounting departments operate. The basic outlines are already in place, but it’s not clear how or how rapidly day-to-day operations will evolve, as well as (by definition) what surprises are in store. One of the most profound impacts of AI will be on the... Read More

Topics: Governance, Office of Finance, Analytics, Business Planning, digital finance, Generative AI, Data Intelligence, AI & Machine Learning

Semantic Layers Provide Business Context for BI and AI Agents

Posted by Matt Aslett on 17 March 2026

As I previously described, context is everything for generative (GenAI) and agentic AI. Enterprises moved in large numbers to adopt foundational GenAI since its emergence into mainstream consciousness during 2023. As they did so, it quickly became clear that establishing trust in GenAI output would require enterprises to augment the realistic content generated by foundation models with real-world... Read More

Topics: Analytics, Generative AI, Data Intelligence, AI & Technologies, AI & Machine Learning

Alation Provides AI Agents With Governed Knowledge

Posted by Matt Aslett on 06 March 2026

I have previously described the critical importance of context for enterprise adoption of generative artificial intelligence (GenAI) and agentic AI. Establishing trust in the content generated by GenAI is facilitated by grounding the models with real-world context from enterprise content and data, while AI agents designed to make context-aware decisions and take automated actions based on... Read More

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

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

Cloudera Evolves Its Open Data Lakehouse

Posted by David Menninger on 03 December 2025

Cloudera recently hosted its EVOLVE25 event in New York, introducing updates that reinforce its commitment to open data architectures and hybrid data management. The announcements centered on a unified platform across cloud and on-premises deployments. Cloudera also announced the Iceberg REST Catalog and Cloudera Lakehouse Optimizer, both of which extend the provider’s ability to manage and share... Read More

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

Why Data Software Providers Are Embracing Model Context Protocol

Posted by Matt Aslett on 19 November 2025

I have written several times this year about Model Context Protocol (MCP) and its importance in enabling agentic artificial intelligence (AI) use cases. Numerous data platform, data management, data operations and real-time data software providers have added support for MCP to their products in recent months. MCP has become so ubiquitous, in fact, that it is easy to forget the protocol was only... Read More

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

Neo4j Expands Data Platform for Graph Intelligence

Posted by Matt Aslett on 13 November 2025

I previously wrote about the importance of knowledge graphs to data intelligence and artificial intelligence (AI). A knowledge graph can surface information about the relationships and dependencies between virtual and physical objects by providing a structured representation of data that identifies the connections between entities and attributes. This representation of enterprise knowledge can be... Read More

Topics: Data Intelligence, AI & Technologies

InterSystems Addresses AI and Data Silos With Data Studio

Posted by Matt Aslett on 06 November 2025

As I recently explained, treating data as a business discipline—rather than a technical one—is a critical component of delivering competitive advantage through investment in data processing, analytics and artificial intelligence. As enterprises embrace data as a business discipline, it is increasingly important that the products used for data processing and management enable collaboration between... Read More

Topics: Analytics, Data Platforms, Data Intelligence, AI & Technologies

AI-Infused Data Management Is Still Evolving

Posted by Matt Aslett on 23 October 2025

I recently explained the significance of data management as an enabler of strategic adoption of artificial intelligence. Data management enables enterprises to ensure that data is valid, consistent and trusted for operational use cases and analytic decision-making. Large volumes of data are required to train models, making data management and data governance critical to AI. Data quality and data... Read More

Topics: Data Management, Generative AI, Data Intelligence, AI & Technologies

The Evolving Data Product Platform Landscape

Posted by Matt Aslett on 23 September 2025

The emergence of natural language analytics interfaces driven by generative artificial intelligence (GenAI) models has accelerated enterprise initiatives to enable data democratization—making data available to business decision-makers without the need to train them to use business intelligence (BI) tools. It has also heightened the need for agreed semantic models and business metrics, as well as... Read More

Topics: Operations, Data Intelligence, AI & Technologies

Nextdata Provides a Platform for Distributed Data

Posted by Matt Aslett on 11 September 2025

I previously described data mesh as a cultural and organizational approach to distributed data ownership, access and governance, rather than a product that could be acquired or even a technical architecture that could be built. While that remains true, many data management software providers have adapted their products in recent years to address the four key principles of data mesh:... Read More

Topics: Operations, Data Intelligence, AI & Technologies

IBM Enhances Data Intelligence and Data Integration

Posted by Matt Aslett on 02 September 2025

I previously wrote about IBM’s strategy of consolidating analytics, data and artificial intelligence (AI) functionality from various products under its watsonx brand, which was launched in 2023 to address the AI development life cycle, as well as data storage processing and AI governance. The company has added two more offerings to its watsonx portfolio in recent months, combining established... Read More

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

Approaches to Data as a Business Discipline for AI

Posted by Matt Aslett on 27 August 2025

The IT department of any enterprise is integral to implementing and managing the execution of its data objectives, just as the finance department is integral to implementing and managing financial objectives. Few enterprises would allow the finance department complete autonomy to define financial strategies; however, too many enterprises allow the IT department to define data strategies. Treating... Read More

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

Reltio Provides a Platform for AI-Driven Data Unification

Posted by Matt Aslett on 20 August 2025

Fragmentation is a pervasive problem for enterprises seeking to take advantage of data generated by various applications to drive business decision-making. For almost as long as the IT industry has existed enterprises have struggled to combine and integrate information from multiple data siloes created by a variety of applications and business units. Creating a “single version of the truth” that... Read More

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

PROS Ramps Up Pricing and Revenue Focus

Posted by Stephen Hurrell on 05 August 2025

Earlier this year I was a guest at the PROS 2025 Outperform conference in Las Vegas, Nevada. PROS is a well-established price optimization and revenue management software provider that, although well-known within the airline and hospitality industries, has a lower profile outside of these specific verticals. An original premise of PROS was to offer advanced analytics and pricing as well as... Read More

Topics: Analytics, sales engagement, Office of Revenue, Generative AI, Data Intelligence, AI and Machine Learning, Business & Technologies, Revenue Lifecycle Management

Databricks Data+AI Summit

Posted by David Menninger on 24 July 2025

Databricks recently hosted its Data+AI Summit in San Francisco, an event that attracted 22,000 attendees. That’s a far cry from the Spark Summit I attended in 2016. As pointed out in my coverage of Databricks massive funding round earlier this year, the company was originally founded as a provider of cloud-based Apache Spark services. Since its inception, Spark has been associated with processing... Read More

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

Boomi Enables Data Management and Agentic AI

Posted by Matt Aslett on 03 July 2025

One of the key questions that will need to be solved if agentic artificial intelligence is to fulfill its potential is which technologies and providers will serve the role of orchestrating communication and integration between the various models, applications and data repositories involved. ISG Research defines agentic AI as software designed to execute business processes through autonomous... Read More

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