Data and Data Management

Efficient data management, encompassing the systematic collection, organization, and retrieval of data, is fundamental for enhancing productivity, efficiency, and informed decision-making. Regardless of their scale or industry, organizations benefit significantly from implementing a robust data management strategy and adopting a modern data management system. This ensures streamlined operations and optimized use of information, facilitating better decision-making processes. The integration of Enterprise Resource Planning (ERP) solutions further enhances the effectiveness of data management, providing organizations with comprehensive tools to manage and utilize data seamlessly across various facets of their operations.

MCP Platform
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.
Oracle Database
Oracle Database@Azure expands to the Netherlands, launches in Brazil
Oracle has expanded its Oracle Database@Azure service into the West Europe region and Brazil Southeast, allowing customers to run Oracle databases within Microsoft Azure environments while benefiting from local compliance and reduced latency, thus reinforcing its strategy to integrate database services with major cloud platforms without the need for architectural changes.
Inside Salesforce’s Agentforce Roundtable: How Did Leaders Really Use AI Agents in 2025?
Executives are shifting their focus from the hype of AI to practical implementation, emphasizing the importance of data activation, hybrid reasoning models, and effective change management to ensure AI agents deliver value in real-world applications.
data maturity ai
Data Maturity Is the Strongest Predictor of AI Success in 2026, Says New CData Study
Despite investment in AI copilots, many enterprises' lack of robust data infrastructure hampers their ability to derive sustainable ROI from AI initiatives, with only 6% of organizations considered genuinely AI-ready due to fragmented data systems.
SAP, Oracle Lead the Charge as AI-Driven Performance Management Market Targets USD 6.33B by 2030
The employee performance management market is expected to grow from $3.52 billion in 2025 to $6.33 billion by 2030, driven by a shift towards continuous, analytics-enabled performance cycles embraced by major firms like Adobe and Microsoft, with AI-centric platforms at the core, as organizations increasingly link performance to skills-based talent strategies and digital transformation efforts.
Oracle Loads Up on AI Infrastructure as OCI Backlog, Data Center Commitments Surge
Oracle's Q2 FY2026 financial results reveal a dramatic surge in cloud and AI offerings, with remaining performance obligations rising to $523.3 billion, total cloud revenue hitting $8 billion, and significant growth in Oracle Cloud Infrastructure and GPU revenue.
SAP S/4HANA Projects and DMI
The Gift No CIO Asks For (But Always Gets): Why SAP S/4HANA Projects Keep Inheriting the Past
CIOs face the challenge of managing legacy systems and historical ERP data, which often drains resources and complicates migration to SAP S/4HANA, but organizations can overcome this by decoupling data from applications using platforms like JiVS.
Microsoft’s Canada Investment Puts Digital Sovereignty to Work
On December 9, 2025, Microsoft announced a C$7.5 billion investment to enhance AI and cloud infrastructure in Canada, building on a broader C$19 billion program, aiming to support digital sovereignty and local AI development while contributing to sustainability.
IBM and Pearson Forge Global AI Learning Alliance for Workforce Upskilling
IBM and Pearson are collaborating to create AI-powered learning tools aimed at enhancing workforce skills and addressing inefficiencies in career transitions, leveraging IBM's technology and Pearson's content to support personalized learning for businesses and educational institutions globally.
Agentforce Tour Keynote: Salesforce Positions Agentforce 360 as Operating System for Agentic Enterprise
Salesforce's Agentforce 360 is a comprehensive platform designed to revolutionize enterprise automation by integrating data, workflow, agent design, and multi-channel experiences, enabling AI agents to operate efficiently and reliably within existing systems and contexts.
The Great Cloud Recalculation Oracle+IBM
IBM in Advanced Talks to Acquire Confluent
IBM is in advanced talks to acquire Confluent for around $11 billion, aiming to enhance its real-time data and AI capabilities, while also gaining a strategic advantage in the data infrastructure market.
How Manufacturers Can Learn and Respond from ERP Stress Tests
ERP systems are evolving from traditional recordkeeping to proactive disruption management, focusing on real-time insights and modular architectures to enhance organizational resilience amid supply chain uncertainties.
Deploying high-impact GenAI solutions with Inetum
Solving the AI Adoption Paradox: Lessons from Inetum’s COBORG Framework
Despite significant investment in generative AI, 95% of projects fail to deliver value due to misalignment with business goals, as highlighted by Inetum’s COBORG™ framework, which aims to bridge the gap between experimentation and execution by integrating AI responsibly into organizations.
Aerial view of airplane at airport
Awery, Cirium Enter Strategic Partnership for Integrating Aviation Data, Analytics
Awery Aviation Software and Cirium have formed a strategic partnership to integrate Cirium's aviation data and analytics into Awery's ERP platform, enhancing operational intelligence and providing users with real-time access.
NATO Taps Google Cloud for AI-Ready Sovereign Infrastructure
NATO has partnered with Google Cloud to enhance its digital modernization through a multimillion-dollar commitment to an air-gapped sovereign cloud environment, improving data governance and enabling AI-driven workloads while maintaining strict security and operational control.
Datanomix and Fulcrum Partnering to Develop Seamless ERP, Production Integration
Datanomix has partnered with Fulcrum to integrate their technologies for modernizing manufacturing by unifying job planning, scheduling, and real-time production tracking, shifting toward a proactive environment that enhances visibility.
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.
ServiceNow Advances Enterprise AI Through Integrations with Microsoft
ServiceNow announced integrations with Microsoft, including Microsoft Agent 365, to create seamless AI orchestration and governance for businesses, enabling autonomous workflows and visibility across Microsoft 365 and the ServiceNow AI Platform.
SAP, Microsoft Tighten Their Data Fabric to Boost AI Value for the Enterprise
SAP and Microsoft are enhancing their partnership with SAP Business Data Cloud Connect for Microsoft Fabric to enable bi-directional data sharing without replication, facilitating immediate access to SAP data for analytics and AI within a unified platform that supports cross-cloud interoperability and improved user experience.
M&A
Why Data Precision is the Core of Your 2026 M&A Strategy
As the M&A market anticipates significant growth in 2026, technology decision-makers must implement robust data strategies to transition technology from a supporting role to a strategic driver, ensuring precision and agility in navigating the complexities of mergers and acquisitions amid ongoing volatility.
JiVS IMP and AI Ready Data
Why 92% of Companies Lack AI-Ready Data
The Cisco AI Readiness Report reveals that while 97% of organizations prioritize urgent AI deployment, 92% are unprepared due to fragmented and siloed data across disparate systems, indicating a critical need for unified and clean foundational data to enable effective AI implementation.
Turning Manufacturing Data into Competitive Advantage with CData
Orbit DataJump Vs. Fivetran for Oracle Fusion Cloud Data Extraction
Orbit DataJump is specifically designed for Oracle Fusion Cloud and E-Business Suite, addressing integration challenges such as schema changes and audit compliance, enabling reliable, real-time data pipelines that traditional connectors struggle to maintain.
MCP Platform
Unlocking Advanced Analytics: Oracle Fusion ERP + Databricks Integration
As enterprises utilizing Oracle Cloud ERP seek advanced analytics and AI-driven insights, integrating their data into Databricks through Orbit's no-code data pipeline solution simplifies the process, enabling real-time updates and eliminating the complexities of manual ETL.
From Oracle Fusion Cloud to Databricks: Simplifying SaaS Data Pipelines + Data Models with Orbit Datajump
Orbit Datajump seamlessly integrates with Oracle Fusion and Databricks to provide an intelligent data orchestration and modeling layer, enabling efficient data ingestion, schema management, and accelerated analytics by transforming Fusion data into analytics-ready models.
Beyond Data Integration – How Orbit’s Intelligent Data Pipelines Transform Raw Data into Business Value
Orbit offers an intelligent, end-to-end pipeline solution that goes beyond integration, seamlessly transforming raw data into real business value, driving innovation and growth, and empowering strategic decision-making.
kyano
The Shift to Continuous Innovation with SNP Kyano
Modern organizations must shift from traditional, rigid transformation projects to ongoing, adaptable innovations supported by strategic platforms like Kyano that enhance transparency and agility in increasingly complex, multi-cloud enterprise landscapes.
Decommissioning SAP Legacy Systems
Decommissioning SAP Legacy Systems: Turning Technical Debt into Strategic Value
To mitigate the significant costs and risks associated with maintaining legacy ERP systems, organizations should adopt a structured decommissioning strategy that focuses on total cost of ownership reduction and compliance risk mitigation through a phased approach involving data analysis, extraction, and secure archiving.