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If you’ve been around for more than a few years, watching some emerging trend in information technology can seem like coming full circle. Something new sounds a whole lot like something old. This may be true from one perspective, like looking down, but I’ve long thought that this progression is helical. That’s because, viewed sideways, we actually are at a higher level of capability, lower cost... Read More

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


I have previously explained the critical importance of data to successful artificial intelligence (AI) initiatives, including generative and agentic AI. While enterprises have demonstrated the value of AI through small-scale initiatives, scaling these efforts has highlighted the need to coordinate AI and data programs more effectively. Providers that can address the full combination of AI and... Read More

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


Over the past year a number of investors and commentators have begun using the term SaaS-Pocalypse to describe slowing growth rates, layoffs and consolidation across enterprise software providers. Here is the complication: Revenue leaders are hearing this narrative at the same time they are being asked to deliver more predictable growth with tighter budgets and greater financial scrutiny. And... Read More

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


This shift in operating model directly reshapes how energy enterprises prioritize software investments and platform architectures. This transformation is now visible in how energy enterprises invest in software. Fixation on prioritizing the modernization of ERP investments or rationalizing collaboration software is insufficient to gain the outcomes and efficiency required for the journey to the... Read More

Topics: Energy, AI & Technologies


The world’s population is projected to reach 9.7 billion by 2050, driving increased energy demand while accelerating the shift toward a more digital, diversified and technologically advanced energy system. Electrification is expanding, renewables are scaling and geopolitical pressures are reshaping supply chains. Oil and gas operators and power and utilities providers must simultaneously... Read More

Topics: Energy, AI & Technologies


I recently attended ADP’s 2026 Rethink event and had the chance to hear the company’s latest thinking for its international clients and analyst community. The HCM market is shifting quickly. AI is accelerating across the enterprise, labor markets are reshaping themselves, and buyers increasingly expect unified platforms that connect HR, payroll, workforce management, data, and intelligence. ADP... Read More

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


I have previously written about the impact that artificial intelligence (AI) and agentic AI are having on the requirements for data platforms. AI and data platforms are intrinsically linked, with the latter providing the underlying data persistence and data processing capabilities that support model development and training, as well as the inferencing capabilities of intelligent operational... Read More

Topics: Data Platforms, Generative AI, AI & Technologies


Conga Connect 2026 underscored a shift that revenue leaders can no longer ignore. The core technology challenge facing commercial organizations is not a lack of tools, automation or even artificial intelligence (AI), but the growing fragmentation across the systems and teams responsible for moving deals from initial pricing through contract execution and into revenue realization. New research... Read More

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


Multicloud was supposed to deliver flexibility, leverage and lower costs. Instead, many enterprises are paying a complexity tax that exceeds the savings. Dashboards light up with granular cost data across hyperscalers, yet total spending continues to climb. Visibility is improving. Accountability is not. The multicloud thesis was straightforward: distribute workloads across providers and reduce... Read More

Topics: Office of Finance, digital finance, CloudOps, IT & Technologies, FinOps, Business & Technologies, Cloud Infrastructure, IT Management & Operations, Multicloud, Cloud Cost Management, Hyperscaler


Industries change with the times, and so it is with the conferences and events that support those industries. Enterprise Connect is not what it once was, either in terms of attendance or influence, but it is still the place where many (not most) of the key providers in contact centers and customer experience (CX) convene. It’s been described as a place where providers meet with and seek out... Read More

Topics: Contact Center, Verint, Customer Experience Management, Customers and CX - Business & Technologies, Conversational Intelligence, Salesforce, Enterprise Connect, AWS, Dialpad, UJET, Zoom


A payroll leader gets a message the morning after payday: “Why is my net pay lower than last period?” In many organizations, that question still sends employees into a maze of portals, PDFs, tickets and handoffs. Payroll is not a background utility in the eyes of employees: it is one of the most frequent and emotionally loaded moments of truth. When pay is right, people move on. When it is wrong,... Read More

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


Enterprise IT leaders are committing seven-figure budgets to "AI-powered" platforms across ITSM, security and cloud management categories. These contracts promise autonomous remediation, intelligent triage and predictive insights. The problem: most CIOs and CISOs can't articulate what the embedded AI actually does or whether it delivers measurable ROI beyond the software provider's deck. The... Read More

Topics: procurement, Generative AI, IT & Technologies, Platforms, Bias, AI & Machine Learning, Due Diligence, Autonomous Decision, Training Data, Time-to-Value


You can’t upend the entire technological infrastructure for an industry without seeing some ramifications in the form of personnel shifting and dislocation. Contact centers are smack in the middle of a transformation that is remaking the toolset and forcing businesses to rethink both the fundamental purpose of their centers and the mix of managerial and operational employees. Let’s consider how... Read More

Topics: WFM, Contact Center, Workforce Management, agent management, Customers and CX - Business & Technologies, Conversational Intelligence, QM, Quality, CSR


Revenue Operations (RevOps) was supposed to unify sales, marketing and customer success into a single high-performance go-to-market machine. But for many organizations, it’s turned into another layer of complexity—more dashboards, more meetings, more disconnected tools pretending to collaborate. What’s worse, the metrics are lagging. Sales cycles are longer, buyer trust is thinner and even the... Read More

Topics: Subscription Management, sales engagement, Office of Revenue - Business Technologies


Healthcare organizations are increasingly investing in customer relationship management (CRM) technologies to support patient engagement, service operations and care coordination across complex healthcare ecosystems. As care delivery expands across hospitals, outpatient services, digital health platforms and virtual care channels, organizations must manage interactions across scheduling systems,... Read More

Topics: Healthcare, AI & Technologies


The healthcare industry is increasingly modernizing its customer relationship management (CRM) platforms and software investments to support patient engagement, care coordination and service operations. As care delivery expands across hospitals, outpatient services, digital health and payer-provider ecosystems, managing patient relationships across fragmented systems has become more complex.... Read More

Topics: Healthcare, AI & Technologies


The growing strategic importance of sales and operations planning (S&OP) reflects the confluence of two major trends evolving outside of enterprise operations. One is the ongoing disintegration of the post-World War 2 liberal trade environment that began in the early 2010s and has accelerated since. The second is the increasing sophistication and approachability of S&OP software. These... Read More

Topics: Supply Chain Planning, Analytics, Business Planning, Operations & Supply Chain, Enterprise Resource Planning, supply chain management, Generative AI, AI and Machine Learning


I previously wrote about the potential for generative artificial intelligence (GenAI) to change the face of analytics and facilitate data literacy and data democratization by enabling business users without specialist analytic skills to discover and analyze data. At the time of writing, GenAI-based interfaces were already being adopted by business intelligence (BI) software providers to... Read More

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


Your artificial intelligence operations (AIOps) platform detects a memory spike in production. Your extended detection and response (XDR) platform flags suspicious lateral movement in the same cluster. But they're not sharing context, so your security operations center (SOC) treats them as two separate incidents. You lose 45 minutes that matter. This isn't a hypothetical scenario. It's the... Read More

Topics: Cybersecurity, Observability, SOC, AIOps, IT & Technologies, XDR, SIEM, SOAR, IT Management & Operations


Payroll is no longer a single application that runs quietly in the background; it is an ecosystem that spans time capture, scheduling, pay rules, benefits deductions, tax engines, security controls and the employee experience layer. Employees do not see the ecosystem, but they feel it every single payday with total clarity. When it works, it reinforces the belief that the organization keeps its... Read More

Topics: Payroll Management, Employees & HCM - Business & Technologies


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