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Revenue leaders entered 2026 under intense pressure to adopt enterprise artificial intelligence (AI), modernize their go-to-market operations and improve forecast accuracy at the same time. Many organizations are responding by adding new sales tools, AI assistants and workflow applications to an already crowded technology stack. The unintended consequence is that revenue teams often end up with...

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Topics: Subscription Management, Office of Revenue - Business Technologies


To achieve an autonomous enterprise, a strategy alone is not sufficient. Organizations need software architectures that can support artificial intelligence (AI) at full scale within defined governance and security boundaries. This must be foundational, not an afterthought.

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Topics: AI & Technologies


I have recently written about the importance of context in relation to agentic artificial intelligence, including the growing use of Model Context Protocol to enable LLMs, agents and applications to communicate with data platforms, file systems and development and productivity tools, and the importance of semantic data modeling to provide agreed definitions that reflect the meaning of entities,...

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Topics: Operations, Analytics, Data Platforms, Generative AI, AI & Technologies


The shift roster has always been a place where strategy becomes personal. It decides who works, when they work and how predictable their lives can be from one week to the next. When scheduling becomes more automated, the consequences show up immediately in worker sentiment, manager workload, overtime spend and service levels. That is why the rise of artificial intelligence (AI)-driven scheduling...

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


I recently explained how providers addressing the full combination of artificial intelligence and data requirements through integrated AI and data platforms are increasingly attractive as enterprises look to accelerate initiatives and reduce costs and complexity. One example of a software provider that has combined AI and data capabilities is Microsoft with its Fabric data platform. First...

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


As an authoritative source, the ISG Index has delivered independent, fact-based insights for 94 consecutive quarters, supporting Wall Street, service and software providers and enterprises in tracking key technology and market shifts.

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Topics: Technology Industry Intelligence


The quickest way to derail an HR analytics effort is to publish a dashboard that people do not believe. You can feel it in the meeting when the questions stop being about decisions and start being about whether the numbers are real. Leaders ask for “the actual headcount,” HRBPs keep their own trackers, and the room quietly agrees the system is helpful but not authoritative. At that point, the...

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


I recently attended Enterprise Connect, a significant industry conference covering contact centers, customer experience (CX) and telephony. I wrote my initial coverage here. Now, a few weeks later, I’d like to offer some thoughts about what my observations mean and where the industry goes from here.

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Topics: Contact Center, Customers and CX - Business & Technologies


By now it should be obvious that artificial Intelligence (AI) and agents in all of their forms are on the brink of changing how finance and accounting departments operate. The basic outlines are already in place, but it’s not clear how or how rapidly day-to-day operations will evolve, as well as (by definition) what surprises are in store.

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Topics: Governance, Office of Finance, Analytics, Business Planning, digital finance, Generative AI, Data Intelligence, AI & Machine Learning


The software industry has entered one of its most consequential pricing and value inflection points since the shift to cloud computing. AI is not an incremental capability layered onto existing software; it is fundamentally redefining how software should create value and, in turn, how that value must be priced. The traditional model of seat-based subscription pricing was designed for systems that...

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Topics: Governance, ROI, AI & Technologies, Cost


Agentic commerce represents the next phase of digital commerce evolution, where AI agents powered by large language models (LLMs) mediate, decide and execute transactions on behalf of consumers and enterprises. The rapid adoption of generative AI platforms now reaching hundreds of millions to billions of monthly users has accelerated a fundamental shift from search-driven engagement to...

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Topics: AI & Technologies, AI Agents, Agent Commerce


Artificial intelligence (AI) just became the operating system for enterprise security. That was the clearest signal coming out of the RSAC 2026 Conference, and it materially changes how CIOs and CISOs should evaluate security platforms, operating models and investment priorities over the next 12–24 months.

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Topics: Cybersecurity, IT & Technologies, XDR, PAM, SIEM, IAM, SOAR, Data Resilience, NHI, AI Security Control Plane, Identity Security, Cybersecurity for AI, DSPM, Agentic AI Security, AI-driven Security, SOC Transformation, Autonomous SOC, Security Data Platforms


Recruiting technology still carries the fingerprints of an earlier operating model, one where hiring was managed as a series of isolated requisitions and success was measured by how efficiently a team could move a candidate from application to offer. That model created durable strengths around workflow, compliance and visibility, and most organizations still need those strengths. The problem is...

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Topics: Employee Engagement, Talent Management, Employees & HCM - Business & Technologies


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...

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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...

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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...

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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.

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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...

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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...

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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...

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Topics: Data Platforms, Generative AI, AI & Technologies


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