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.

SAP, Partners Turn Embedded Business AI into Concrete ERP Wins
SAP and its partners are transforming AI from concept to implementation by integrating SAP Business AI and SAP BTP into workflows that enhance efficiency and collaboration, as illustrated by successful case studies from companies like FRoSTA and Aspen Pumps.
kyano
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.
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Google Launches Gemini for Government, Supporting DOE Labs on Genesis Mission
Google launches Gemini for Government at 47 cents per year for federal agencies, partnering with DOE National Labs to enhance scientific productivity through agentic AI workflows, secure collaboration, and advanced research tools.
2025 Was a Pivotal Point for Oracle NetSuite: Where Is Its AI Roadmap Heading in 2026?
Oracle NetSuite laid the groundwork in 2025 for an AI-native ERP experience, with 2026 expected to see the launch of key features like NetSuite Next and Autonomous Close, which will embed AI into financial and operational workflows, moving AI from conceptual to operational use.
Coda
December’s M&A Sprint Signals AI Infrastructure Consolidation Era for Enterprises
In December 2025, a surge of over $100 billion in strategic technology acquisitions is compelling ERP executives to pivot away from fragmented solutions towards more robust, AI-native architectures amidst rising valuations and an emphasis on security.
ClickUp AI Agents
ClickUp Addresses Work Sprawl with Codegen Acquisition
ClickUp has acquired AI startup Codegen to enhance its platform with autonomous software engineering capabilities, integrating execution engines with enterprise context for a unified workspace that enables AI agents to perform tasks across multiple systems.
BlackLine Acquires WiseLayer in Bid to Enhance AI Capabilities
BlackLine's acquisition of WiseLayer marks a pivotal moment in finance as AI agents take on complex judgment-heavy tasks, transforming operating models and integration practices while significantly enhancing efficiency and accuracy in financial operations.
Palo Alto, Google Cloud Expand AI Security Alliance as 99% of Organizations Report AI Attacks
Palo Alto Networks and Google Cloud have expanded their partnership with a nearly $10 billion deal to enhance AI and cloud security, integrating Palo Alto’s Prisma AIRS platform with Google Cloud’s infrastructure to provide comprehensive security across hybrid multicloud environments.
BillingPlatform Adds Platform Capabilities for Advanced Revenue Insights
BillingPlatform's upgraded capabilities transform billing into a real-time decision system for revenue leaders, enhancing visibility, reducing manual reporting, leveraging AI for transparency and robust integration.
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.
Certinia Launches Winter ’26 Release for Improved Agentic AI, Workflow
Certinia's Winter '26 release leverages AI to enhance operational efficiency for services-centric organizations by automating project monitoring, streamlining sales-to-delivery processes and improving customer success management.
Cognizant AI
Cognizant and Microsoft Target the Last-Mile Problem in Enterprise AI
Cognizant and Microsoft have expanded their AI partnership to co-develop industry-specific solutions and integrate Microsoft's AI stack into Cognizant’s services, primarily benefiting sectors like financial services and healthcare, as they aim to enhance AI deployment and operational impacts through deeper collaboration and streamlined workflows.
Unit4 and Pragmatic 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.
Oil and Gas ERP Leaders Signal Agentic AI Push in Recent Deployments
Oil and gas operators are prioritizing digital transformation through cloud ERP modernizations with autonomous AI agents and unified data platforms, highlighting the industry's focus on operational efficiency and competitive advantage.
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.
Businessperson hold an image of an AI agent in hand.
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.
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 NetSuite Recognized as Leader in Gartner Magic Quadrant Reports, as Demand for AI-Driven ERP Accelerates
Oracle NetSuite has been named a Leader in Gartner's 2025 Magic Quadrant for Cloud ERP and Financial Planning Software, highlighting its AI-enhanced capabilities, expanded customer base, and integrated architecture that addresses the evolving demands of service-centric organizations.
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.
Cloud-Native Logistics, Multi-Agent AI Set Pace for Next-Gen Supply Chain Resilience
Monolithic supply chain systems pose vulnerabilities for global brands amid geopolitical uncertainties, while cloud-native platforms utilizing modular services, IoT integration, and AI-driven multi-agent coordination enhance resilience, efficiency, and data security.
ERP AI
AI Agents, Real-Time Connectivity Defining ERP’s Future
ERP systems are transitioning to AI-native architectures with embedded autonomous agents, enhancing efficiency by automating tasks, monitoring transactions, and suggesting corrections, prompting companies to prioritize semantic data integration, upgrade flexibility and real-time connectivity.
Salesforce Agentforce Playbook: Five Steps to Fund and Scale Enterprise AI
In a competitive AI market, the key to success lies not in the technology itself but in crafting a solid business case that emphasizes clear problem definition, coalition-building, scalable solutions, and pre-deployment governance to ensure measurable ROI and executive buy-in.
Anthropic Set to Donate MCP to New Linux Foundation Agentic AI Foundation
The Model Context Protocol (MCP) donation to the Agentic AI Foundation, under the Linux Foundation, aims to ensure its neutral governance and collaborative development within a multi-vendor environment.
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.
Inside the AI Shift Transforming Customer, Field Service and What it Means for ERP
The Salesforce 7th annual State of Service report reveals a rapid transformation in customer service driven by AI agents, predicting that by 2027 AI will resolve half of service cases, prompting organizations to enhance data integration and redefine service roles, ultimately positioning service as a blueprint for broader enterprise architecture change.
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.