Analyst Perspectives

Agents and “agentic AI” are all the rage now, eclipsing last year’s focus on artificial intelligence (AI) and generative AI (GenAI). They are a way to automate work almost effortlessly so that repetitive and boring tasks get done with the least amount of effort and perhaps, more consistently. In business software, a broad range of software providers are claiming agents to be a panacea that can improve performance and lower costs. They are alluring, with an almost unlimited number of potential...

If you’ve ever held the same job title at two different companies, you know firsthand how misleading job-based approaches to work can be. I’ve had the same title across different organizations, and the roles couldn’t have been more different. The responsibilities, expectations and even the skills required varied so significantly that it made me question why we continue to define work through the lens of static job descriptions.

The recent recommendation by the European Commission to scale back the scope, granularity and timeline for sustainability reporting represents a sea change in this form of corporate disclosure requirements. If enacted, it will substantially reduce or eliminate the reporting requirements for many enterprises, especially small to midsize establishments, as well as provide more time for compliance. While environmental reporting requirements appear to be easing, some regulatory disclosure...

SAP was formed in 1972 to create standardized business software that would integrate all business processes and enable data processing in real time. Following the success of the initial release and subsequent R/2, the company went public in 1988 and has grown into one of the world’s largest software companies, reporting more than $37 billion in revenues in its most recent annual report. Through internal development efforts and numerous acquisitions, including Business Objects, Sybase, Ariba,...

If you’re an HR professional, the term “API” might make you want to hand things off to IT and move on with your day. After all, you’re here to focus on people, not tech jargon, right? But here’s the thing—APIs play a major role in making sure your HR technology works for you. And no, you don’t need to be an engineer to understand why they matter.

Increased enterprise focus on artificial intelligence (AI) and generative AI (GenAI) has served to sharpen the focus on the need for trusted data and reliable analytics and data operations. The ISG State of Generative AI Market Report highlighted that elevated expectations and demands associated with AI are a forcing function for enterprises to take long-overdue steps to improve data and analytics processes to ensure that data that is clean, well-organized and compliant with regulatory...

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 results and highlighting underlying drivers of results, propose next best actions and use natural...

Data catalogs provide an inventory of data assets that surface metadata from data platforms, analytics tools and applications that can be used to facilitate data discovery and data usage across an enterprise. As I recently explained, however, there are actually multiple types of data catalogs that offer functionality to address specific use cases and user roles, including data inventory, data discovery and data governance. The data intelligence catalog is an emerging category that combines...

Conversational automation leverages artificial intelligence (AI)-powered agents, chatbots and virtual assistants to automate both customer interactions and internal processes. These systems understand natural language, sentiment and intent, generating relevant responses and executing actions based on user input. The software provider landscape is analyzed in the ISG Buyers Guide for Conversational Automation.

As enterprises seek to expand and accelerate the adoption of artificial intelligence (AI) many are finding that longstanding analytics and data challenges are a barrier to success. As was explained in ISG’s State of Generative AI Market Report, AI requires data that is clean, well-organized and compliant with regulatory standards. The need for good data management is by no means new, but the expectations and demands associated with AI are a forcing function for enterprises to take long-overdue...

The HCM market has undergone a significant transformation in recent years. Legacy providers, long the dominant force, built their platforms primarily for administrative efficiency—streamlining HR processes but often overlooking the broader employee experience. However, today’s workforce expects more. Employees and managers now demand intuitive, engaging and connected HR experiences that extend beyond transactional tasks.

AI, like analytics, must lead to action. Too often, in both cases, too much of the exercise is left to the reader. We have tools to provide sophisticated analyses, including AI platforms that can be used to predict many types of behavior, but we fall short in helping the workforce know what to do with that information. Some examples are more obvious, such as fraud detection. If a transaction is predicted to be fraudulent, the transaction should be blocked. But even this example is not as cut...