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I recently explained the significance of data management as an enabler of strategic adoption of artificial intelligence. Data management enables enterprises to ensure that data is valid, consistent and trusted for operational use cases and analytic decision-making. Large volumes of data are required to train models, making data management and data governance critical to AI. Data quality and data...

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Topics: Data Management, Generative AI, Data Intelligence, AI & Technologies


Skills software is everywhere right now. Talent marketplaces, intelligent learning platforms, artificial intelligence (AI)-powered upskilling tools—the market is saturated with promises of personalized growth, agile workforce planning and dynamic career pathing. And to be clear: the vision is compelling. The idea of surfacing internal talent, guiding career development and aligning skills to...

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


Enterprises are accelerating digital initiatives powered by APIs, services, IoT and agentic artificial intelligence (AI), expanding non-human identity (NHI) risk faster than legacy Identity Access Management (IAM) and Privileged Access Management (PAM) can govern. CIOs, CISOs and IT leaders need an identity strategy that treats NHIs as first-class identities, integrates with IAM/PAM and advances...

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Topics: Cybersecurity, NIST, IT & Technologies, Agentic AI, PAM, IAM, Zero Trust, Identity, Non-Human Identity, NHI, Machine Identity


I previously wrote about the role that data intelligence catalogs play in enabling business leaders to understand the use of data across an enterprise. I also recently wrote about the importance of treating data as a business discipline to ensure that data projects are aligned with business strategy objectives. As I noted, although many data catalog products provide enterprises with information...

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Topics: Governance, AI & Technologies


For nearly 20 years, I have attended the Human Resources Technology Conference and Expo to take the temperature of the market. This year, the energy felt different—less showy, more grounded. I was able to engage with more than 40 software providers for deeper-dive discussions, and I left with three big takeaways and one nagging concern that I can’t shake.

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


Verint held its annual Engage conference in September, shortly after it announced the news that it had agreed to be acquired by private equity firm Thoma Bravo for $2 billion. The new ownership plans on merging Verint with its competitor, Calabrio, after the deal closes in 2026. That sequence of events raises many important questions about the direction of both companies and the sector...

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


There's a saying among military historians that amateurs debate strategy while professionals talk about logistics. In a similar vein, those rooted deeply in the workings of information technology (IT) pay close attention to data because it is fundamental to the proficiency and effectiveness of any IT system. Visionaries speak of data being the oil or gold of the information economy; practitioners...

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Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, Procure-to-Pay, Generative AI, Consolidate and Close Management, AI and Machine Learning, Order-to-Cash, Business & Technologies


It’s easy to celebrate a go-live. It’s visible, it’s measurable and it comes with a finish line. But anyone who’s been through an HR technology implementation knows that go-live isn’t the end. It’s the beginning.

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


The idea of customer experience (CX) as a business practice relies heavily on being able to understand and track customer journeys. And that can be tricky because there isn’t a standard definition as to what a journey consists of. For example, inside a contact center the journey is perceived in terms of the steps a customer takes to achieve a particular result. Sometimes that is broadened out to...

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Topics: Contact Center, Field Service, CXM, Customers and CX - Business & Technologies, Customer Journey, Journey Management


When building or outfitting a contact center, the core question that must be answered is: what software provider or system is foundational? For decades, the fundamental element was the routing engine, but as technology moved to the cloud, the primacy of the voice ACD receded. As it did, it became possible to conceive of a tech stack that’s not organized around routing but instead is focused on...

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Topics: Contact Center, Customer Experience Management, CCaaS, Customers and CX - Business & Technologies, Conversational Intelligence, Zendesk


The emergence of natural language analytics interfaces driven by generative artificial intelligence (GenAI) models has accelerated enterprise initiatives to enable data democratization—making data available to business decision-makers without the need to train them to use business intelligence (BI) tools. It has also heightened the need for agreed semantic models and business metrics, as well as...

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Topics: Operations, Data Intelligence, AI & Technologies


Collaborative Supply Chain Forecasting (CSCF) is a business discipline involving multiple supply chain stakeholders, including suppliers, distributors and sellers, that is aimed at producing a more accurate forecast of future demand and supply. Participants share supply and demand data, forecasts, assumptions and insights to improve visibility, reduce inefficiencies and attenuate supply-demand...

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Topics: Supply Chain Planning, Business Planning, Enterprise Resource Planning, supply chain management, Business & Technologies, Supply Chain and Operations


I previously described data mesh as a cultural and organizational approach to distributed data ownership, access and governance, rather than a product that could be acquired or even a technical architecture that could be built. While that remains true, many data management software providers have adapted their products in recent years to address the four key principles of data mesh:...

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Topics: Operations, Data Intelligence, AI & Technologies


We live in a time of uncertainty, not unpredictability. Planning charts the course of an enterprise through a sea of uncertainties, making fact-based predictions of potential outcomes to inform decision-making by executives and managers. Companies do a lot of planning—some formal but much of it informal. People in companies plan sales, they plan how to produce products and deliver services. They...

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Topics: Office of Finance, Business Planning, digital finance, Generative AI, AI and Machine Learning, Business & Technologies


Working capital includes current assets (short-term items such as cash, money due from customers and inventory) and current liabilities (typically payments due to suppliers and loan amounts that must be repaid within one year). Working capital management is a prime function of the finance organization, designed to balance often-conflicting objectives related to revenue, liquidity, risk and...

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


I previously wrote about IBM’s strategy of consolidating analytics, data and artificial intelligence (AI) functionality from various products under its watsonx brand, which was launched in 2023 to address the AI development life cycle, as well as data storage processing and AI governance. The company has added two more offerings to its watsonx portfolio in recent months, combining established...

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


FloQast offers close management, reconciliation and accounting workflow automation software that streamlines processes and achieves reliable accuracy with less effort while providing real-time visibility into financial operations. The word “hack” originally referred to an ordinary horse, and later to a third-rate writer. More recently, it has come to mean—in a business context—a clever strategy...

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


I am struck by the blizzard of software announcements this year describing new features for CX tools that are “agentic,” meaning autonomous tools take actions without (much) human intervention. Industry conversation about agentic AI has proceeded ahead of clarifying definitions and a sense of how it fits on a continuum of rapid AI development.

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Topics: Analytics, Contact Center, Personalization, Customer Experience Management, Generative AI, Customers and CX - Business & Technologies, Agentic AI, Transformation, Disruption


The IT department of any enterprise is integral to implementing and managing the execution of its data objectives, just as the finance department is integral to implementing and managing financial objectives. Few enterprises would allow the finance department complete autonomy to define financial strategies; however, too many enterprises allow the IT department to define data strategies. Treating...

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


The era of ever-liberalizing trade that began in earnest in the 1950s (albeit with periodic ups and downs) came to an epochal end in the 2010s. Over the past decade, the ever-more demanding environment for supply chain planning and execution has forced enterprises to take a more strategic approach to managing these processes. The need for resiliency and adaptability in a rapidly changing world...

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Topics: Supply Chain Planning, Business Planning, Enterprise Resource Planning, supply chain management, Manufacturing, Healthcare, Generative AI, AI and Machine Learning, Automotive, Business & Technologies, CPG & Retail, Supply Chain and Operations


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