Media Awareness Program

Image of finger touching an AI agent in digital space.

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.

Cloud Platform and Technology

Microsoft Sharpens Dynamics 365 ERP for Asset-as-a-Service Rental Models

Microsoft is evolving ERP through Dynamics 365 to actively manage rental operations and address fragmentation in asset utilization by introducing rental-specific capabilities that enhance workflows, financial clarity, and customer experiences in a cloud-based, AI-extended ecosystem.

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.

ERP cloud lifecycle management dashboard showing integration complexity and AI-driven automation

Supply Chain Management

How ERP, AI Can Improve Logistics and Operations Efficiency

Artificial intelligence is transforming logistics by enabling continuous optimization through integrated ERP systems, facilitating improved decision-making, reducing operational costs, and enhancing delivery performance.

Analytics and AI

Why Small Plants Need Enterprise-Level Capabilities Without Enterprise Overhead

Small plants are increasingly adopting cloud ERP solutions to gain visibility and control without the need for extensive IT resources, shifting from fragmented systems to integrated operations that enhance efficiency.

Businessperson hold an image of an AI agent in hand.

ERP Strategy and Planning

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

Microsoft Pitches Agentic ERP, CRM as Operating System for AI-First Enterprises

Microsoft's shift to AI-first autonomous enterprises involves agents across Dynamics 365 that interpret data, collaborate, and enhance operations by automating tasks within finance, supply chain, and CRM, emphasizing the integration of systems and intelligence for adaptive, measurable outcomes.

Manufacturing Systems and Automation

AI Moves to the Core of ERP: What Technology Leaders Should Expect

Artificial intelligence is evolving from a supplementary feature to an essential element of ERP, enhancing demand forecasting, operational responses, and executive decision-making.

Analytics and AI

How Manufacturers Can Achieve Operational Stability in 2026

As manufacturers head into 2026, they face pressure to enhance efficiency and stability through modern ERP technologies, moving from reactive chaos to predictable operations.

Enterprise Content Management

How a Healthcare Giant Unlocked Revenue Agility with NetSuite ARM & CloudPaths

The transition to subscription-based models in healthcare requires a comprehensive reimagining of balance sheets and revenue recognition processes, as illustrated by CloudPaths' partnership with a global leader in healthcare information services to implement NetSuite ARM.

Data processing over infrastructure construction site

Data and Data Management

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.

Business Process Management and Automation

How Microsoft Is Rewiring ERP with Composable Dynamics 365

Microsoft's ERP strategy focuses on a composable approach using Dynamics 365 as a modular backbone for industry-specific solutions, emphasizing scenario-driven capabilities, AI integration, and partner specialization to create tailored solutions on a shared cloud platform.

Cloud Platform and Technology

Overcoming AI Adoption Challenges in Manufacturing and Supply Chain

AI is rapidly becoming essential in manufacturing and supply chain management, but uneven deployment due to barriers like data quality and user adoption persists, while vendors are focusing on domain-specific AI to integrate predictive insights directly into core processes.

Analytics and AI

Microsoft Research Maps 2026 AI Agenda: From Lab Assistants to Trusted Agents

Microsoft Research forecasts 2026 as a pivotal year where AI evolves into collaborative 'digital coworkers' across sectors, emphasizing security, agentic systems, and quantum advancements that align with human-centered goals and redefine enterprise resource planning.

Analytics and AI

Why Industry-Built ERP Will Lead the Next Wave of Manufacturing Modernization

Manufacturing executives are increasingly favoring vertical ERP systems over generic platforms due to the former's ability to provide tailored, out-of-the-box solutions that align with industry-specific workflows.

Data and Data Management

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.

Data and Data Management

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.

Analytics and AI

IBM Brings Three New AI Agents to Oracle Fusion Applications AI Agent Marketplace

IBM's introduction of three new AI agents built with Oracle AI Agent Studio enhances efficiency for Oracle Fusion customers, automating tasks in finance, sales, and procurement while paving the way for future HR and supply chain agents.

Enterprise Content Management

The Importance of Professional and Managed Services for ERP Vendors

Manufacturing and distribution organizations are increasingly adopting managed services for ERP systems to cope with labor shortages and budget constraints, allowing internal teams to focus on strategic initiatives.

Analytics and AI

Aptean Launches AppCentral 2.0, Bringing Vertical AI Into Daily Industrial Operations

Aptean’s AppCentral 2.0 is a Vertical AI platform that enhances operational efficiency in manufacturing and distribution by integrating AI agents for real-time decision-making, automating routine tasks, and providing predictive insights.

Manufacturing Systems and Automation

Why the Future Belongs to Pragmatic, Practical AI

The focus for manufacturing leaders has shifted towards pragmatic AI solutions that deliver measurable operational improvements in ERP processes by driving profitability amidst growing AI investment in the sector.

Tax Compliance

Vertex Expands Role in Oracle Cloud ERP Environments with Full-Scale, End-to-End Tax Automation, Compliance Platform

Vertex has enhanced its tax determination and compliance capabilities within Oracle Cloud ERP through a unified platform that supports global requirements, automates processes, and improves operational efficiency for over 1,700 mutual customers.

Business Process Management and Automation

The Death of the Static SKU: Why AI-First Monetization Demands a New Architecture

The generative AI revolution is prompting a shift in software product roadmaps, necessitating a move from rigid billing systems based on static SKUs to dynamic pricing models that enhance agility and allow for complex consumption-based monetization.

Manufacturing Systems and Automation

Syspro Joins National Association of Manufacturers

Syspro has joined the National Association of Manufacturers (NAM) to collaborate with U.S. manufacturing leaders on innovation, supply chain resilience and digital transformation.

Data and Data Management

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.

Automation

ERP Lessons from Black Friday for Manufacturers, Retailers

Black Friday serves as a critical evaluation for ERP systems, revealing their capability for real-time operational control amid spikes in demand, and highlighting the need for strong data governance, operational visibility, and continuous analysis to enhance resilience and readiness for future challenges.

Automation

Rootstock’s Praxis Acquisition Ushers New Phase of Salesforce-Native Enterprise

Rootstock's acquisition of Praxis Solutions, bringing its founder Ohad Idan as VP of product, enhances its ERP strategy by integrating on-ground manufacturing expertise, driving advancements in seamless workflows and unified operational platforms.

Manufacturing Systems and Automation

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.

Analytics and AI

How Zuora’s New AI-Ready Catalog Targets the Hard-Coding Bottleneck

Zuora's new Monetization Catalog aims to alleviate the tension between product innovation and rigid financial infrastructure by enabling business users to create and launch dynamic, usage-based pricing models without code.

Analytics and AI

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.