ISG Software Research Analyst Perspectives | AI and Machine Learning (2)

Oracle Addresses Agentic AI for Fusion and Beyond

Posted by Matt Aslett on 29 July 2025

ISG Software Research’s expertise examines the software provider landscape through two lenses: business applications (including office of finance, human capital management (HCM) and customer experience) and IT and technology (including digital business, digital technology, artificial intelligence (AI) and analytics and data). Most software providers fall into one of these two high-level expertise... Read More

Topics: Analytics, AI, Data Platforms, IT & Technologies, AI & Technologies, AI and Machine Learning, Cloud Infrastructure

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

Confluent Address Unified Stream and Batch Processing with AI

Posted by Matt Aslett on 22 July 2025

I have been saying for several years that success with streaming data requires enterprises to manage data in motion alongside data at rest, rather than treating streaming as a niche activity. Software providers have also been moving in this direction. Many established data management providers have added the ability to manage, store and process streaming data alongside their existing batch data... Read More

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

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

The Unreasonable Effectiveness of Data Management

Posted by Matt Aslett on 01 July 2025

If a single phrase could sum up the big data craze of a dozen or so years ago, it would be “more data beats better algorithms.” Attributed to Google research director Peter Norvig, the quote effectively summarized a research paper Norvig jointly authored called The Unreasonable Effectiveness of Data and was embraced by big data enthusiasts as articulating the prevalent thinking that enterprises... Read More

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

Solace Enables Agentic AI with Solace Platform

Posted by Matt Aslett on 25 June 2025

My colleagues have recently described how agentic artificial intelligence (AI) has the potential to revolutionize enterprise computing by automating the handling of static and dynamic complexity to enable software to take action without the need for human intervention. Put simply, agentic AI is the orchestration of the execution of discreet business tasks by a combination of software components... Read More

Topics: Governance, AI, Generative AI, AI & Technologies, AI and Machine Learning, Streaming & Events

OneStream Roadmap for AI and Agents

Posted by Robert Kugel on 12 June 2025

OneStream offers a platform designed to serve the needs of accounting and financial planning and analysis (FP&A) organizations. The software handles financial close and consolidation, planning and budgeting, analysis and reporting. OneStream recently held its annual user conference, Splash, in Nashville. In attending this meeting, my focus was once again on the progress the company has made over... Read More

Topics: Office of Finance, Analytics, Business Planning, ERP and Continuous Accounting, digital finance, Consolidate and Close Management, AI & Technologies, AI and Machine Learning

Google Next Highlights AI Investments

Posted by David Menninger on 03 June 2025

The artificial intelligence (AI) landscape is undergoing dramatic transformation, with enterprises rapidly adapting to a world where AI is no longer just a possibility but a necessity. ISG Market Lens research of 300 enterprises shows that AI initiatives were the second largest category of IT spending for 2024, behind customer experience initiatives. Furthermore, enterprises plan to increase 2025... Read More

Topics: Generative AI, AI & Technologies, AI and Machine Learning, Cloud Infrastructure

Software Increases Productivity in the Record-to-Report Cycle

Posted by Robert Kugel on 22 May 2025

The six costliest words in managing a finance department are, “We’ve always done it this way.” The record-to-report (R2R) cycle describes the process of finalizing and summarizing the financial activities of a business for a specific accounting period—typically a month, quarter or fiscal year. It is important to note that R2R exclusively covers the activities between recording (keeping the books)... Read More

Topics: Office of Finance, ERP and Continuous Accounting, digital finance, Generative AI, Consolidate and Close Management, AI and Machine Learning

What Analysts Should Do When Anyone Can Analyze with AI

Posted by Robert Kugel on 12 March 2025

One of the promised benefits of artificial intelligence (AI), Generative AI (GenAI) and agents is that they can make everyone their own financial and business analyst. It’s true that these technologies can make it possible for everyone to access once hard-to-reach data (with suitable permissions), unleash agents to assemble the data into useful tables and charts along with commentary describing... Read More

Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, AI, AI and Machine Learning

A Strategic Approach to Replacing ERP Systems for Modernization and AI

Posted by Robert Kugel on 27 February 2025

Enterprise Resource Planning (ERP) systems are comprehensive software platforms designed to integrate and manage all the core processes of an enterprise while recording transactions and their financial consequences to support the accounting and finance functions. ISG Software Research recently completed our Buyers Guide™ for ERP systems, designed to help enterprises that are replacing their... Read More

Topics: Office of Finance, Continuous Planning, ERP and Continuous Accounting, AI and Machine Learning

External Data Supports More Accurate Planning

Posted by ISG Research on 15 January 2025

I recently completed the latest edition of our Business Planning Buyers Guide, which reviews and assesses the offerings of 14 providers of this software. One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital... Read More

Topics: Office of Finance, Analytics, Business Planning, AI and Machine Learning

Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

Posted by Robert Kugel on 12 November 2024

I recently attended Infor’s Velocity Summit, designed to showcase the latest versions of its CloudSuite ERP software. Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. The company provides industry-specific enterprise software that enhances business... Read More

Topics: Office of Finance, ERP and Continuous Accounting, natural language processing, AI and Machine Learning, Continuous Supply Chain & ERP

A Planning Center of Excellence Delivers Performance Improvement

Posted by Robert Kugel on 07 November 2024

Artificial Intelligence and generative AI are beginning to change how enterprises do many things, especially planning and budgeting. This technology has the potential to significantly redefine the mission of the financial planning and analysis group. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. AI is also making it easier for... Read More

Topics: Office of Finance, Analytics, Business Planning, Workforce Management, AI and Machine Learning

Generative Automation: An Alternative for Process Optimization

Posted by Robert Kugel on 05 November 2024

Agents are all the rage—and for a good reason. They are a way to automate work almost effortlessly so that repetitive and boring tasks get done with the least amount of effort on the part of the operator. In business, agents can be a boon for customer satisfaction and a way to improve worker productivity. They are alluring, with an almost unlimited number of potential use cases. However, as... Read More

Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, natural language processing, AI and Machine Learning, Digital Applications, Order-to-Cash

Detecting and Preventing Bias: A Crucial Element of AI Governance

Posted by David Menninger on 09 October 2024

In today's rapidly evolving technological landscape, artificial intelligence (AI) governance has emerged as a critical ingredient for successful AI deployments. It helps build trust in the results of AI models, it helps ensure compliance with regulations and it is necessary to meet internal governance requirements. Effective AI governance must encompass various dimensions, including data privacy,... Read More

Topics: AI, Analytics and Data, AI and Machine Learning

Avoiding Toxicity in Generative AI

Posted by David Menninger on 24 September 2024

As I’ve written recently, artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk. The AI market has... Read More

Topics: AI, Analytics and Data, AI and Machine Learning

Snowflake Offers a Platform for AI as well as Data

Posted by Matt Aslett on 19 September 2024

As I explained in our recent Buyers Guide for Data Platforms, the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data... Read More

Topics: Analytics, natural language processing, AI and Machine Learning

The Prophix One Platform Supports a More Effective Finance Department

Posted by Robert Kugel on 17 September 2024

Prophix launched its Prophix One platform earlier this year. CFOs of midsize enterprises should take a look at it because it supports a more effective approach to finance and accounting operations in growing companies. It facilitates the transition of organizations that can no longer make do with work-arounds of existing systems to those with formal, controlled core processes that can be... Read More

Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, AI and Machine Learning

IBM Provides Architectural Choice for Data Platforms

Posted by Matt Aslett on 27 August 2024

Enterprises face a bewildering level of choice in relation to data platforms, as evidenced by the number of software providers and products assessed in our recent Data Platforms Buyers Guide. There are numerous data platform providers and products to choose from, but also a diverse array of functional and architectural options. Is the workload primarily operational or analytic? Will it be... Read More

Topics: Analytics and Data, AI and Machine Learning