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Spectacular accounting frauds happen with enough regularity to beg the question, how did the auditors miss that? In the wake of the 2008 financial crisis, the U.S. established the Public Company Accounting Oversight Board (PCAOB or “peekaboo”) with the aim of protecting investors and lenders by overseeing the audits of public companies to ensure the reports and opinions are accurate, independent...

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Topics: Office of Finance, ERP and Continuous Accounting, digital finance, Consolidate and Close Management, Business & Technologies


Revenue leaders face a defining moment, which is why the time to define capabilities is now. As organizations brace for economic uncertainty, margin pressure and board scrutiny, the long-promised ROI of go-to-market technology is under intense evaluation. Sales productivity is declining, seller attrition is rising and CFOs are no longer tolerating technology bloat without measurable performance...

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


Enterprise IT leaders face a dual mandate: maintain resilient operations while accelerating digital outcomes. AIOps software, where artificial intelligence and machine learning (AI/ML) models and automation converge across observability, incident response and IT service management, has moved from experimental pilots to foundational capabilities in today’s operations. As CIOs, CISOs and IT leaders...

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Topics: ITSM, ITOps, AIOps, IT & Technologies, ITOM, IT Management & Operations


Managing corporate income taxes effectively is important since these represent the second or third biggest expense for many enterprises. However attractive minimizing them might be, following all applicable tax laws and regulations is equally as important because failure to pay what the laws require can result in significant monetary fines and, potentially, reputational risk. Since there can be...

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Topics: Office of Finance, Tax, ERP and Continuous Accounting, digital finance, Generative AI, Business & Technologies, AI & Machine Learning, Tax Provision, Tax Avoidance


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...

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


Sales performance management (SPM) is undergoing a reinvention. Once viewed as a back-office, compliance-oriented process largely owned by finance, it is now becoming a strategic platform at the heart of modern revenue operations. The rise of artificial intelligence (AI), particularly machine learning (ML), generative artificial intelligence (GenAI), and predictive modeling, is transforming how...

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Topics: sales engagement, Office of Revenue, Revenue Lifecycle Management


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...

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


The Chief Financial Officer of a midsize enterprise faces a different set of challenges than their counterparts in larger or smaller enterprises. Midsize enterprises have grown to the point of requiring capabilities similar to larger businesses but typically lack the staff or financial resources afforded to bigger ones. The past decade of IT innovation—especially the expansion of cloud...

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


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...

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


There is a shift underway in how enterprises structure their software stacks in relation to contact centers. Multiple factors have coalesced to reduce the importance of the traditional call handling infrastructure (i.e., the ACD) as the foundational element of the tech stack. It no longer has to be the focus of buying or deployment decisions. It’s been superseded by a more extensible (but...

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Topics: Analytics, Contact Center, agent management, CCaaS, ACD, Generative AI, Customers and CX - Business & Technologies


Autonomous commerce is no longer a distant prospect; it is actively transforming procurement systems, digital marketplaces and B2B revenue platforms today. Intelligent systems can now interpret buying intent, evaluate margin risk and negotiate terms with increasing sophistication. Yet, according to ISG’s State of Agentic AI Market Report, only 25% of artificial intelligence (AI) solutions operate...

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


You can buy the flashiest software in the marketplace, win awards for digital transformation and run a picture-perfect implementation project. But if your data foundation is shaky, none of it will deliver. Organizations invest millions in tools only to stumble over incomplete, misaligned or fragmented data. The wall they hit afterward? It is built from poor decisions disguised as “glitches.”

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


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...

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Topics: Data Intelligence, AI & Technologies


Tokenization is an emerging topic for business software providers. Tokenization is the process of representing something valuable or complex with a simple computer-readable substitute to enhance security or improve the efficiency and usability of a system. Tokens are already widely used in commerce. It’s now common for sensitive data used in a transaction, such as a bank account number or credit...

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Topics: Governance, Office of Finance, Operations, Analytics, ERP and Continuous Accounting, digital finance, Procure-to-Pay, Generative AI, AI and Machine Learning, Order-to-Cash, Business & Technologies


Analyst summits are not where software providers go to make news, it’s where they seek to clarify and validate what they’ve already done and lay out strategies for the future. October’s NiCE summit in Vienna was an opportunity to take stock of the enormous changes artificial intelligence (AI) has wrought in the service industry and put NiCE’s recent moves into context.

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Topics: automation, Contact Center, agent management, Customer Experience Management, CCaaS, Intelligent Self-Service, Customers and CX - Business & Technologies, Conversational Intelligence, NiCE, Cognigy


Enterprise CIOs are under pressure to operationalize artificial intelligence (AI) while preserving governance, cost control and regulatory compliance. Oracle’s latest Oracle Cloud Infrastructure (OCI) software announcements from Oracle AI World 2025 focus on unifying data and AI pipelines, simplifying multicloud consumption and strengthening software‑defined networking to deliver predictable...

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Topics: Oracle, IT & Technologies, AI and Machine Learning, Cloud Infrastructure, Compute, Edge, Network & IOT, OCI, AI World


Over the past two years, I’ve led and operated as a practitioner in a sustained, feels-like-a-seven-day cadence to build what I believe is the most comprehensive enterprise software research foundation in the industry. Joining ISG after two decades of being a CEO and Chief Research Officer running a specialized research and advisory firm—Ventana Research—the new mandate was clear: expand software...

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Topics: Technology Industry Intelligence


There is a different kind of friction emerging in the HR technology market today. It is harder to quantify but easier to feel if you are inside the decision-making process. It is not a lack of interest or even budget. It is fatigue.

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


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...

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


I attended Salesforce’s Dreamforce event in San Francisco to learn more about the company’s expanding vision for artificial intelligence (AI) and its newest capability, Agentforce Revenue Management. Salesforce has steadily evolved from being a CRM leader to positioning itself as an AI-first business platform. The introduction of Agentforce marks the company’s most ambitious step yet in...

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Topics: Subscription Management, partner management, Revenue Performance Management, Revenue Lifecycle Management, Office of Revenue - Business Technologies


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