Editor’s Choice

Frankfurt business district skyline representing enterprise finance systems, data infrastructure, and AI-driven collections workflows in Europe.
Zuora Collections Launches in Europe with Germany Data Center for In-Region Data and AI-Driven Workflows
Zuora has launched Collections in Europe with a new Germany data center, bringing AI-driven workflows and in-region data handling to finance teams managing cash collection and forecasting.
Choosing the Right Integration Strategy and Framework for Manufacturers
Manufacturers face integration challenges as their systems become increasingly complex and interdependent, necessitating a strategic shift from point-to-point connections to a more cohesive approach like integration platform as a service (iPaaS) to effectively manage growth, change, and operational efficiency.
Data center facility in Coleraine showing physical infrastructure and energy systems in a real-world environment.
How Data Center Location, ESG Regulations, and AI Infrastructure Are Reshaping Risk
Data center location is becoming a governance decision. As AI demand grows and ESG regulation expands, energy, water, and climate constraints are shaping ERP risk, cost, and performance in ways enterprises can no longer ignore.
Application-as-a-Service Pushing ERP Toward Composable Stacks
The Application as a Service model is increasingly adopted by businesses seeking flexibility over monolithic systems, prompting CIOs to adapt their purchasing, integration, and governance strategies for a diverse array of specialized applications across various sectors, while also addressing challenges related to vendor management and ensuring data consistency.
Inside the Global Data Center Investment Surge and Why It Matters for ERP Leaders
Recent massive investments in data centers by major tech companies signify a transformative buildout of global computing capacity, driven by the demands of enterprise AI, geographic strategic importance, and energy constraints, reshaping how cloud and AI services will be delivered in the future.
Hybrid ERP Deployments Becoming Standard as Industry Grows
The ERP market is evolving into a strategic, data-driven platform, with hybrid deployments on the rise as enterprises blend on-premise and cloud solutions, expecting overall market growth to $40.6 billion by 2033, while AI and industry-specific modules reshape its architecture and consumption.
Cell and gene therapy manufacturing vials arranged in a controlled lab tray for traceability and processing
Cell and Gene Therapy Manufacturing Exposes the Cost of Delayed Digital Infrastructure
Cell and gene therapy manufacturing is exposing the limits of manual coordination. As programs scale, digital orchestration is becoming essential to ensure traceability, reduce risk, and support operational execution.
Cloud Data Strategy Moves From Project to Everyday Practice for ERP Leaders
The shift to cloud data management for ERP leaders is a fundamental transformation in operations and governance, requiring a continuous approach to security, cost management and data integration to harness innovation while mitigating risks.
‘The Critical Gap Isn’t Technical — It’s Architectural Judgment:’ Sanjay Vijay Mhaskey
Composable ERP, often discussed yet rarely implemented strategically, requires organizations to demonstrate architectural discipline and governance readiness through established standards, intentional modernization practices and proactive management.
SAPinsider Las Vegas Q&A with David Robinson: Why SAP Customers Need Faster, Smaller, More Continuous Transformation
David Robinson, President of SAP North America, emphasized at the SAPinsider Las Vegas keynote that customers should view modernization as an IT operating model transformation rather than just a platform move, highlighting the need to address technical debt, separate core processes from innovation, and focus on continuous innovation through incremental changes and effective governance.
Framework or Platform? How Sovos Is Turning Tax Compliance into an ERP Strategy Decision
The article discusses the urgent need for ERP programs to integrate tax compliance as a core architectural element rather than a secondary concern, emphasizing that organizations must choose between ERP-native frameworks or specialized third-party solutions to address rapidly evolving regulatory requirements, with the choice impacting operational flexibility, risk management, and overall compliance efficiency.
‘The Intelligence is Embedded in the Workflow’: Jeff Weiss
CMiC's Nexus 1 integrates over 25 AI agents into its ERP, enabling construction professionals to interact with project data using natural language, streamline workflows, reduce report preparation time and enhance decision-making.
‘The Focus is on Strengthening Foundations, Not Adding Complexity’: Rodney Manzo
Sage's State of Supply Chain Report highlights that many companies are unprepared for supply chain disruptions, with insufficient real-time data and visibility leading to vulnerabilities.
abstract image | Finance
The CFO’s New Mandate for AI Assurance
AI is transforming finance by automating workflows and enhancing decision-making, but CFOs remain accountable for the integrity and explainability of outcomes, necessitating strong governance and reliable data to ensure compliance.
man on computer with technology graphics in the background
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.
CData logo representing MCP performance optimization and managed AI connectivity platform.
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.
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.
European Union flag in front of modern glass office buildings symbolizing cloud sovereignty and digital regulation in Europe.
Why Inetum Sees Control—Not Infrastructure—as the Real Sovereignty Challenge
ERP modernization in Europe now unfolds under sovereignty expectations. Data control, hybrid architecture, and governance-by-design increasingly determine whether AI-enabled systems can withstand regulatory scrutiny and scale with confidence.
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
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.
SAP logo displayed at company office, representing enterprise software security and monthly Patch Day updates.
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.
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.
Acumatica Summit Recap: ERP Elevated as Proactive Intelligence Infrastructure
At Summit 2026, Acumatica executives revealed a vision for ERP systems as predictive intelligence platforms leveraging digital replicas and AI to streamline operations, improve decision-making, and enhance user experiences through behavioral telemetry, all while emphasizing a partner-led growth model to address mid-market challenges.
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.
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.
ERP
AI’s Last-Mile Failure: Why ERP Value Breaks Down After the Investment
Organizations investing in AI within ERP systems often fail to achieve expected results not due to technology issues, but because they neglect to redesign decision-making processes and empower employees to effectively use AI insights.