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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...

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


At its heart, money is an intellectual construct, as demonstrated through its continual shape-shifting over the ages. Since most money today exists in digital form, technology has an outsized impact on advancing innovations, especially in the most mundane corners of finance. Payments—the transmission and receipt of money in commercial transactions—have been an especially fertile area for...

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Topics: Office of Finance, ERP and Continuous Accounting, Procure-to-Pay, Order-to-Cash, Business & Technologies


The shift toward a Zero Trust Network Access (ZTNA) framework is a strategic move for enterprises aiming for an enhanced security posture. ZTNA operates on the principle of "never trust, always verify," ensuring that every user and device is authenticated and authorized before accessing resources. In this context, Privileged Access Management (PAM) emerges as a critical enabler for an effective...

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Topics: Cybersecurity, IT & Technologies, Identity and Access Management, PAM, IAM, ZTNA, Privileged Access, Zero Trust


There is an industry assumption, call it a consensus, that increasing the degree of personalization in customer interactions is beneficial: it improves loyalty, lifetime value, CSAT and other key metrics. Core to this assumption is that it benefits both the customer and the business. Whether or not that’s actually true is somewhat beside the point. The fact is that the industry has identified a...

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Topics: Customer Experience, Contact Center, NPS, Personalization, Customer Experience Management, Orchestration, Customers and CX - Business & Technologies, Conversational Intelligence, Customer Journey, Loyalty, CSAT


ISG Software Research is expanding our ISG Buyers Guide coverage to include the topic of sustainability. Our buyers guide will focus on sustainability exclusively rather than the full spectrum of environmental, social and governance topics. One reason is that gathering, managing, analyzing and reporting environmental data under the various frameworks and statutes presents enterprises with...

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Topics: Office of Finance, Operations & Supply Chain, ERP and Continuous Accounting, supply chain management, digital finance, Sustainability Management, Business & Technologies


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...

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


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...

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


Sage recently held its Future user conference in Atlanta. Our ISG Buyers Guide for Midsize ERP Financial Management (2024) rated Sage Intacct as one of the top three providers, reflecting its strong performance in both product capabilities and customer experience. The event showcased its advances and roadmap aimed at embedding artificial intelligence (AI), generative AI (GenAI) and agentic AI in...

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Topics: Office of Finance, ERP and Continuous Accounting, digital finance, Procure-to-Pay, Order-to-Cash, Business & Technologies


The annual RSAC Conference took place in late April in San Francisco, where over 40,000 professionals from the cybersecurity industry converged at the Moscone Center to discuss the latest trends, products and services aimed at threat identification and organizational security.

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Topics: Cybersecurity, GenAI, IT & Technologies, Agentic AI, EDR, XDR, PAM, SIEM, IAM, Quantum, Threat Intelligence, SOAR, Data Recovery, Data Resilience, ZTNA


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...

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


Compensation data is everywhere. Internal equity metrics, market benchmarks, performance history, pay transparency requirements—there’s no shortage of data coming in from every direction. But volume does not always guarantee clarity. It is not about the data your system can collect, it is about whether that system—and the people behind it—can turn the data into decisions that actually make sense....

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Topics: Human Capital Management, Total Compensation Management, Employees & HCM - Business & Technologies


Frontline work is being reshaped from every direction: tighter labor pools, unpredictable demand and a workforce that expects more than just a paycheck. Yet too many organizations are still treating workforce scheduling like a game of Tetris—moving blocks around and hoping they fit. It’s time to admit that smart scheduling isn’t just a nice-to-have—it’s a frontline imperative. And if the...

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Topics: Human Capital Management, Employee Engagement, Workforce Management, Employees & HCM - Business & Technologies


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...

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


The learning management system (LMS) market is evolving, with the lines that once rigidly defined categories becoming increasingly blurred. Today, an LMS that lacks Learning Experience Platform (LXP) capabilities risks becoming obsolete in an environment where user expectations are shifting rapidly. In a similar vein, an LMS and LXP that fail to harness the power of artificial intelligence (AI)...

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Topics: Human Capital Management, Employee Engagement, Learning Management, Employees & HCM - Business & Technologies


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...

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


Oracle’s recent industry analyst summit demonstrated significant progress in embedding artificial intelligence in its business applicationsincluding those for finance, HR and supply chain management. This amplifies the already broad and deep functionality developed over decades. Oracle also continues to expand and extend its collaborative efforts with financial institutions, a form of...

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Topics: Office of Finance, ERP and Continuous Accounting, digital finance, Procure-to-Pay, Consolidate and Close Management, Order-to-Cash


Oracle, long known for its dominance in databases and enterprise software, has a new message for the business world: Artificial intelligence (AI) isn't just a technology trend, it's a business imperative. At the recent Oracle Industry and Application Analyst Event, company executives made their most compelling case yet for why non-technical executives should care about a deeply integrated tech...

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Topics: Revenue Lifecycle Management, Office of Revenue - Business Technologies


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...

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


I recently attended the Oracle Apps & Industry Analyst Summit in Redwood City, California. Over the course of two days, Oracle offered a concentrated look at a market that is both racing ahead and tripping over its own shoelaces. Generative, predictive and now agentic artificial intelligence (AI) have become the new currency of competitive advantage across HCM; Oracle alone has delivered more...

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Topics: Human Capital Management, Employee Engagement, Learning Management, Talent Management, Workforce Management, Payroll Management, Total Compensation Management, Employees & HCM - Business & Technologies


I have previously described how data as a product was initially closely aligned with data mesh, a cultural and organizational approach to distributed data processing. As a result of data mesh’s association with distributed data, many assumed that the concept was diametrically opposed to the data lake, which offered a platform for combining large volumes of data from multiple data sources. That...

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


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