data quality

Global Enterprises Using SAP BTP to Cut Customization Debt and Prepare ERP for AI

SAP BTP enables enterprises like McDonald’s and a global consulting firm to adopt clean-core ERP strategies by reducing custom code and fostering agility through extensibility, allowing for scalable operations and AI readiness in their digital transformation journeys.

Analytics and AI

Public Sector ERP and AI Are Running on Two Clocks: Will That Gap Become a Strategic Risk?

Public sector technology strategy is conflicted by the slow, methodical pace of legacy system modernization, exemplified by the UK's Defence and Bank of England initiatives, contrasted with the rapid, high-profile push for AI and advanced computing, leading to a widening gap between ambition and execution.

Application Development and Integration

Higher Ed Races to Modernize ERP as Cloud, AI Pressures Intensify

Higher education institutions are rapidly upgrading ERP systems to embrace cloud flexibility and AI readiness, viewing modernization as essential due to budget constraints, enrollment dynamics, and the demand for streamlined digital experiences.

Analytics and AI

Five AI Trends Affecting Enterprise Scaling, Transformation

At the Gartner 2025 IT Symposium/Xpo, key discussions highlighted the necessity of modernizing ERP systems for AI integration, emphasizing data quality, workforce development and more.

ERP Strategy and Planning

Build Smarter, Not Slower: How Rossera and Oracle Are Reinventing Custom ERP

In an era of hyper automation, enterprise leaders are shifting from 'build or buy' to 'how to build smarter' by utilizing Rossera's modular, AI-powered accelerators on Oracle Cloud Infrastructure, which streamline bespoke processes and enhance user experiences while maintaining operational efficiency and data governance within the existing Oracle ecosystem.

Data and Data Management

Data First, Transformation Forever

To ensure a successful digital transformation, organizations must prioritize data quality from the outset, leveraging AI technologies to address data issues and enhance business processes.