Editor’s Choice

European Economic and Social Committee building in Brussels representing EU cloud sovereignty and data governance policy.

Cloud Platform and Technology

“Sovereignty Washing”: Why Cloud Sovereignty Claims Don’t Always Match Reality

As concerns about data sovereignty grow across Europe, many cloud providers now promote “sovereign cloud” solutions. But legal jurisdiction, technology dependencies, and supply-chain relationships can complicate these claims. This article explores the emerging phenomenon of sovereignty washing and explains how organizations can evaluate whether cloud services truly meet sovereignty requirements.

man on computer with technology graphics in the background

Application Development and Integration

Why Workday Implementations Fail to Deliver ROI — and How to Fix It

Many organizations implement Workday expecting significant operational improvements, yet struggle to realize meaningful return on investment. In this article, Prashanth Paladugula explains why Workday implementations often fall short—and how stronger data governance, process transformation and standard configurations can significantly improve outcomes.

AI-Powered Testing

Quality and Testing

How UL Solutions and Emerson Cracked the Oracle Testing Code with Tricentis

Discover how UL Solutions and Emerson achieved an 85% reduction in testing cycles and managed 17,000+ test cases using Tricentis automation and risk-based strategies.

Analytics and AI

Optimizing MCP for Production: 10 Proven Performance Techniques

Model Context Protocol (MCP) is becoming production infrastructure for AI agents. This article outlines 10 proven performance optimization techniques to improve latency, throughput, and scalability while positioning managed MCP platforms as a foundation for reliable enterprise AI.

Analytics and AI

Steering Cloud ERP Migrations with Data Governance

Migrating to a modern cloud ERP system requires prioritizing high-quality data management to avoid legacy pitfalls, including early-stage data validation, strategic archiving, and creating unified golden records to ensure a successful transformation.

Unit4 office corridor with employees who developed Financials by Coda walking signage.

Application Development and Integration

Building a Financial Backbone for Mixed-Application Enterprises with Unit4

Unit4 Financials by Coda is positioned as a financial backbone for mixed-application enterprises. This analysis explores its multidimensional ledger model, cloud deployment options, and low-code integration layer — and what that structure means for finance teams operating across jurisdictions and systems.

Data and Data Management

The Hidden Cost of AI: Why Data Debt is Actually a Human Problem

Explore how leaders at DMI’s Digital Lounge @ Davos are tackling transformation fatigue and data debt to liberate SAP teams for S/4HANA innovation.

Digital Lounge @ Davos with DMI

Data and Data Management

Beyond the Hype: 3 Structural Shifts Every SAP Leader Must Make In 2026

At this year's Digital Lounge @ Davos, over 200 leaders acknowledged the industry's shift from the allure of AI capabilities to focusing on data sovereignty, accountability, and governance as critical components for ensuring responsible AI implementation, underscoring the importance of addressing legacy data management and integrating AI within a broader risk landscape.

Governance, Risk, and Compliance

SAP February Patch Day Puts ABAP and Platform Risk in Focus

SAP’s February 2026 Patch Day delivered 26 new notes and one update, with critical exposure centered in ABAP and core platform services. Vendors warn impact depends on how trust and integrations operate inside each landscape.

Closing the ERP Intelligence-to-Action Gap

Over 70% of ERP initiatives are projected to fail by 2027 due to the gap between insights generated and coordinated actions taken, as traditional ERP systems, despite modernizations such as AI and analytics, struggle with structural issues that prevent timely decision-making across interconnected divisions.

Business user interacting with AI-powered analytics on a laptop, illustrating enterprise AI and real-time data intelligence.

Analytics and AI

The New ERP Backbone: Databricks, Inetum, and the Shift to AI-Native ERP Architectures

ERP systems are entering an AI-augmented era, but many data foundations are not ready. This analysis examines why AI-native ERP architectures are emerging, how Databricks is becoming the intelligence layer, and how Inetum helps enterprises operationalize AI with trust, governance, and scale.

Analytics and AI

Acumatica Leveraging Telemetry, Personalization to Reduce ERP Workflow Complexity

Acumatica executives announced plans at Summit 2026 to simplify workflows using behavioral telemetry and AI-driven personalization, enhance user experience in ERP systems, and prioritize real-time vendor and partner portal integrations.

Analytics and AI

Acumatica Redefining ERP as System of Intelligence, Enabling Proactive Decision-Making

Acumatica is transitioning ERP platforms from traditional transactional automation to autonomous systems that support proactive decision-making, emphasizing the need for high-quality data governance and industry-specific functionality.

Accelerating Oracle modernization with Tricentis solutions

Application Development and Integration

Why SAP S/4HANA Demands a Continuous Operating Model

The ERP transformation landscape is shifting from traditional, rigid Big Bang upgrades to a more agile model focused on continuous, incremental changes through selective data transitions and standardization, enabling organizations to adapt quickly to evolving business needs.

Finance professional working on keyboard, with data graphs filter.

Business Process Management and Automation

Scaling Finance in SaaS: How Zuora Enables Flexible Billing and Revenue Automation

Billing complexity often overwhelms core ERP systems. This article explains why SaaS companies use Zuora to manage automated billing and revenue recognition without constraining growth.

Image of finger touching an AI agent in digital space.

Analytics and AI

CData, Databricks, and the Expanding MCP Ecosystem

CData has been named a Featured Launch Partner for the Model Context Protocol in the Databricks Marketplace. The launch makes CData Connect AI available inside Databricks, positioning it as infrastructure for building AI agents that need governed access to live enterprise systems.

Analytics and AI

Agentforce Manufacturing Addresses Labor Shortages, Operational Inefficiencies

Salesforce released Agentforce Manufacturing, a suite of AI agent templates enabling manufacturers to enhance autonomy and efficiency while mitigating labor shortages, marking a significant shift in the industry toward predictive and proactive operations.

DMI and Data Migration

Data and Data Management

New Year, New Core: Why 2026 Is the Year to Finally Let Go of SAP Legacy Data

As SAP organizations approach 2026, the imperative to eliminate legacy data and systems is heightened by the need for a Clean Core strategy. The JiVS Information Management Platform offers a solution to effectively decouple historical data and streamline data migration to SAP S/4HANA.

Analytics and AI

Construction ERP Evolution: How AI-Enhanced Integration Addresses North America’s Workforce Crisis

The construction ERP landscape is shifting towards AI-enhanced, best-of-breed integrations that address operational inefficiencies driven by labor shortages, regulatory complexities, and margin pressures, reflecting a trend where vertical specialists form core components of ERP ecosystems.

Nonprofit employee working on a computer.

Analytics and AI

How Nonprofits Are Modernizing ERPs to Unlock AI-Driven Impact

Nonprofits are modernizing ERP platforms to support AI-driven decision-making, improve operational visibility, and strengthen governance across global programs.

Governance, Risk, and Compliance

Agentic AI, Composable Architectures Are Redefining Manufacturing ERP as Autonomous Operations

Manufacturing technology executives are experiencing a major shift in ERP systems from transactional backends to autonomous AI-driven decision engines that automate procurement and production processes, with successful implementations emphasizing governance frameworks over algorithm sophistication.

Businessperson hold an image of an AI agent in hand.

Analytics and AI

What CData Connect AI Does for Microsoft Copilot Studio and Microsoft Agent 365

CData Connect AI adds MCP-based connectivity, context, and governance to AI agents built in Microsoft Copilot Studio and Agent 365, enabling secure access to live enterprise data at scale.

Analytics and AI

Retail AI Hits NRF 2026: SAP, Microsoft, Workday Turn Agentic Platforms into New Operating System for Stores and Commerce

Retail tech giants SAP, Microsoft, and Workday are leveraging AI to transform commerce operations into integrated, agent-driven systems at the NRF 2026 event, showcasing a shift from isolated applications to comprehensive retail infrastructure.

Analytics and AI

The Enterprise AI Revolution Is Boring, and That Is What Makes It Work

The article advocates for 'boring AI,' which emphasizes embedding AI into back-end processes and workflows to deliver real operational value, as opposed to flashy, superficial applications that often fail to provide measurable returns.

Manufacturing Systems and Automation

ERP Technology Developments Impacting Manufacturing Jobs in 2026

Manufacturing technology executives must decide by late 2025 whether to adopt autonomous AI agents to enhance operational efficiency or risk losing competitive advantages with governance emerging as the key challenge for successful implementation.

Analytics and AI

Five ERP Strategic Implications for Operations Leaders in 2026

As organizations face a pivotal shift in ERP to autonomous action-driven frameworks, leaders must prioritize rapid modernization, governance transparency, and adaptability to remain competitive.

Data processing over infrastructure construction site

Analytics and AI

Six Data Pivots That Decide Whether Your AI Strategy Scales in 2026

AI is forcing businesses to modernize data architectures. CData’s e-book outlines six pivots to scale AI-driven products.

MCP Platform

Analytics and AI

How to Choose an MCP Platform for Production-Scale AI Agents

Model Context Protocols (MCPs) standardize secure, real-time access for AI agents to enterprise systems. MCP features such as plug-and-play integration, real-time monitoring, and scalability become a differentiator as businesses embed AI into core workflows.