Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

Analytics and AI

Microsoft Dynamics 365 Business Central Raises the ERP Bar for the Mid-Market

Business Central is Microsoft's cloud ERP solution for small and mid-market organizations, featuring integrated finance, sales, and AI capabilities, while leveraging a partner-first approach to enhance vertical solutions, positioning it as a competitive force against other mid-market ERPs.

Analytics and AI

Oracle NetSuite Deepens Industry Focus by Aligning AI, SuiteCloud with Vertical Workflows

Oracle NetSuite is enhancing its industry strategy by integrating embedded AI with vertical-specific workflows, allowing for intelligent capabilities tailored to sectors like services and distribution, while also empowering partners to develop specialized extensions within its platform, ultimately shifting ERP innovation towards a model that reflects industry-specific operational patterns.

Analytics and AI

Acumatica’s Focus on User Adoption Signals ERP Shift to Business Transformations

The importance of AI-enabled ERP systems that integrate seamlessly with daily workflows was exemplified by Storm Smart's successful transition to a connected ERP that improved operational efficiency at Acumatica Summit 2026.

Analytics and AI

Acumatica’s Digital Replica Push Targets Real-Time Business Intelligence Gaps

Acumatica's CEO John Case announced a transformative digital replica vision for ERP systems at Summit 2026, aimed at evolving these platforms to predictive intelligence tools.

Analytics and AI

IBM Launches Enterprise Advantage to Help Companies Scale Agentic AI

IBM has introduced Enterprise Advantage, a new consulting-led service aimed at helping enterprises move beyond AI pilots and deploy agentic AI across core business systems at scale.

Analytics and AI

Acumatica Summit Highlighting AI, Low-Code Solutions for ERP Automation

Acumatica's Summit 2026 highlights their AI and low-code platform capabilities that enables business users to create customized AI workflows without developer support, enhancing workflow automation and practical AI applications.

Analytics and AI

How ERP Vendors Can Turn AI From Weakness into Strength

ERP vendors are pressured to demonstrate the tangible operational benefits of their AI capabilities, with industry-specific implementations like those at Golden State Foods and Polaris showcasing measurable gains as the market continues to expand.

Laptop with finance graphs

Analytics and AI

Zone & Co Launches Agentic Control Layer Inside NetSuite for ERP Finance Teams

Zone & Co has launched Zoe by Zone, an agentic orchestration layer embedded inside NetSuite that coordinates finance agents to execute tasks directly within the ERP.

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Analytics and AI

Joule Integrations Move SAP’s AI Deeper Into Enterprise Workflows

SAP is expanding Joule through deeper integrations across enterprise applications and partner platforms, positioning the AI assistant as a workflow layer embedded directly into business execution.

Analytics and AI

GRC Moves to the Strategy Table as AI, Regulation Raise the Bar on Trust

Governance, risk, and compliance (GRC) are increasingly integrated into core enterprise strategy, driven by AI adoption, cloud transformation, and regulatory pressures, necessitating a shift from siloed approaches to proactive, unified models that enhance risk visibility and compliance across modern enterprises.

Analytics and AI

Understanding AI’s Growing Role in ERP, Enterprise Software

Rootstock's acquisition of Praxis Solutions highlights the need for manufacturers to prioritize business processes and outcomes in AI integration for ERP systems, as many companies struggle with digital transformation challenges.

An exhibit on the history of AI at MIT.

Analytics and AI

How Agentic AI and Composable Architecture Are Reshaping ERP Strategy

A new MIT Technology Review Insights briefing examines how agentic AI and composable architectures are reshaping ERP strategy. The report argues that enterprises are moving beyond vendor-driven upgrades toward modular, AI-orchestrated systems of action.

Analytics and AI

SAP-RPT-1 Brings Tabular Foundation Models to Enterprise AI

SAP has introduced SAP-RPT-1, a tabular foundation model designed for structured enterprise data, positioning it as a complement to language models for predictive tasks inside ERP systems.

Analytics and AI

Syspro Highlights Breakthrough Year with AI-Driven Platform Modernization, Global Brand

Syspro reports significant global momentum marked by revenue and ARR growth, expansion of subscription services, and a transition to a cloud-first platform alongside the launch of a new brand.

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Analytics and AI

AI’s Hidden Dependencies: How Energy, Compute, Scale Change the Cost of AI

A new Blue Shift report shows how AI’s growing energy and compute demands are driving infrastructure costs that many enterprises have not priced in. Those pressures surface most clearly inside ERP systems.

Bicycles parked in front of SAP office in Europe.

Analytics and AI

SAP’s EU AI Cloud Addresses Data Sovereignty as Regulations Tighten in Europe

SAP’s EU AI Cloud reflects how data sovereignty and regulation are reshaping where and how enterprises deploy AI in Europe.

Analytics and AI

Snowflake Acquires Observe to Integrate AI-Powered Observability into Data Cloud

Snowflake's acquisition of Observe enhances its AI capabilities in observability, allowing enterprises to manage telemetry data more efficiently and cost-effectively, enabling automated troubleshooting and operational resilience.

Analytics and AI

Aptean Acquires OpsVeda to Bridge Planning-Execution Gap with Agentic AI Orchestration

Aptean's acquisition of OpsVeda enhances its AI-driven supply chain capabilities, creating a unified platform that bridges the gap between planning and execution with real-time, agentic AI designed for continuous operational adaptation.

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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

SAP, Fresenius Team Up to Drive AI-Enabled Digital Healthcare Transformation in Europe

SAP SE and Fresenius have launched a strategic partnership aimed at creating an AI-powered, interoperable healthcare ecosystem in Europe to enhance digital healthcare delivery by integrating SAP’s technologies with Fresenius’s healthcare expertise for improved data management and compliance.

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.

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.

Analytics and AI

Digital Sovereignty Is a Board-Level ‘Mandate’ in the AI Era: IBM Whitepaper

Digital sovereignty is evolving from a technical issue to a strategic priority for enterprises, driven by the need to manage AI, comply with strict government regulations on data handling, and leverage untapped data.

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Analytics and AI

Workday Research Finds AI Productivity Gains Are Lost to Rework

Workday research finds nearly 40% of AI productivity gains are lost to rework, as employees spend significant time correcting and verifying AI output, exposing gaps in how organizations measure and manage AI impact.

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.

Analytics and AI

iBASEt Launches Domain-Specific AI Platform for Aerospace Manufacturing

iBASEt launched Solumina AI, a specialized artificial intelligence platform for regulated aerospace and defense manufacturing, featuring modules that enhance operational workflows while challenging traditional ERP and PLM vendors relying on generic AI.

Navigating Manufacturing Costs: The Strategic Role of CloudPaths and NetSuite

Analytics and AI

Sage Brings Copilot into Operations to Push Manufacturing, Distribution Toward Agentic Supply Chains

Sage has integrated its Copilot AI assistant into Sage Operations to enhance operational workflows with earlier risk detection and proactive insights for manufacturing and distribution teams, signaling a move towards more agent-driven operational models.