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  • for Month: 2026/07
I recently wrote about the ecosystem of products and providers related to the MySQL database, noting the long history of friction in the MySQL community regarding the ownership and licensing of the open-source project. Perhaps the clearest illustration of that friction is the existence of MariaDB, which was specifically created in response to concerns over the ownership and licensing of MySQL.... Read More

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


The “SaaS-Pocalypse,” which I commented on earlier this year, is a persistent yet cresting technology and Wall Street analyst narrative that rests on three flawed assumptions. First, advanced AI assistants and autonomous agents will make traditional software-as-a-service (SaaS) enterprise applications and their business models obsolete. Second, AI will allow ordinary workers to vibe code custom... Read More

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


Your learning platform may know what content you have. That does not mean it knows what your workforce needs. That is the uncomfortable distinction many L&D leaders need to confront as the market fills with promises of personalization, AI-powered recommendations, skills intelligence and adaptive experiences. The language has evolved quickly. In many enterprises, the operating model has not. Many... Read More

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


As enterprises embracing artificial intelligence move from initial pilots and trial projects through deployment and into production at scale, many are realizing the critical importance of reliable data management and agile, responsive data operations (DataOps) processes to improve trust in the data used for AI and business intelligence. With an emphasis on agility, automation and continuous... Read More

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


In the first stages of any major technology breakthrough, there is often a three-blind-men-describing-an-elephant effect at work. In the case of artificial intelligence (AI), its vast potential has people looking at it from their single perspective to the exclusion of others. It’s that narrow focus that has lent itself to the “Saaspocalypse” meme earlier this year. AI is already having a... Read More

Topics: Office of Finance, Supply Chain Planning, Analytics, Business Planning, Workplace, Enterprise Resource Planning, supply chain management, Digital Business, Generative AI, Customers and CX - Business & Technologies, Employees & HCM - Business & Technologies, Vertical Industry, AI Governance


Any merger creates a certain amount of uncertainty about how it will impact customers: Questions about the roadmap or duplicate product lines invariably arise. In the case of Verint and Calabrio (now collectively named Verint), June’s Verint Engage customer event was an opportunity to finally discuss the changes and demonstrate how it plans to move forward. And expectations are high: The industry... Read More

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


I recently wrote about the emerging category of data platform products that facilitate the deployment of Online Transaction Processing workloads on data lakehouse architecture. Databricks Lakebase is a prime example of this OLTP-on-lakehouse approach, which was added to its Databricks Data Intelligence Platform in 2025 and became generally available earlier this year. At the company’s recent Data... Read More

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


Ten years ago, NiCE acquired inContact, and, in the process, began a radical transformation from its core business as a workforce application provider into a full-blown CCaaS and platform provider. It was a transformation as audacious and (ultimately) as well-executed as any I’ve seen in this industry. Now it’s clear that buying Cognigy last year will turn out to be just as significant a bet on a... Read More

Topics: Governance, Contact Center, agent management, Intelligent Self-Service, Conversational AI, Customers and CX - Business & Technologies, Conversational Intelligence, Cognigy


Artificial intelligence (AI) has given the learning market new energy, but not all of it is pointed in the right direction. Providers are racing to show generative AI (GenAI) features, buyers are trying to understand what matters and the media cycle keeps rewarding whatever sounds most futuristic. That creates a familiar market problem. The easiest things to see are not always the most valuable... Read More

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


Digital commerce is moving from a transactional storefront to an intelligent decision environment. Buyers no longer expect a site to simply display products, accept orders and process payments. They expect it to understand intent, guide comparison, reduce uncertainty and help them make the right decision faster. This changes the role of digital commerce leaders. The storefront can no longer be... Read More

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


I have previously written about the emerging requirements for database management systems, including the use of artificial intelligence to automate and accelerate the execution of database administration tasks. These emerging requirements have provided an opportunity for new and established data platform providers to differentiate in a crowded and competitive market. IBM is a prime example of an... Read More

Topics: Operations, Business Planning, Data Platforms, Generative AI, AI & Technologies, AI & Machine Learning


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