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.

a-person-is-using-a-pos-machine-in-a-store-with receipt SAP Business AI Q4 2025
Analytics and AI
SAP Business AI Q4 2025 Update Embeds Intelligence into Enterprise Workflows
SAP’s Q4 2025 SAP Business AI release embeds AI directly into spend management, procurement, and customer experience workflows, signaling a shift toward operational AI inside enterprise systems.
Bharat Mandapam in New Delhi illuminated at night during the India AI Impact Summit 2026.
Analytics and AI
India AI Impact Summit: Capital, Compute, and Execution Align
The India AI Impact Summit 2026 centered on infrastructure scale, hyperscaler investment, indigenous AI models and enterprise delivery alignment rather than new software releases.
CloudPaths NetSuite ARM
Analytics and AI
Global ERP Market to Double Growth Over Next Decade Due to Priority Shift
The global ERP market is evolving into a strategic backbone, projected to exceed $40.6 billion by 2033 with a 9.4% CAGR, as organizations seek unified, data-driven control across various business functions while transitioning to hybrid and cloud models.
Cybersecurity
Analytics and AI
Bell Cyber and Radware Expand AI-driven, Cloud-Delivered Security Services
Bell Cyber and Radware are launching a unified, AI-driven managed security service to enhance protection against sophisticated cyberattacks for enterprises.
a big office building with a green sign saying 'Sage' | Sage stands out with “high pace of innovation” amid upbeat year-end results
Analytics and AI
Sage Intacct Delivers AI-Powered Capabilities to Improve Financial Data Analysis
Sage Intacct's AI-powered capabilities revolutionize finance operations by enhancing period-end close management, enabling real-time performance monitoring, simplifying data handling, integrating cash analytics and providing direct access to live financial data for improved decision-making.
Analytics and AI
Data Sovereignty, Latency, Trust: Why ERP AI Cannot Live in the Public Cloud Alone
As AI integrates into ERP workflows, the need for robust governance, data residency, and operational control is rising, leading organizations to seek infrastructure strategies that ensure consistency and reliability in the face of regulatory demands.
Analytics and AI
Industrial AI Shifting as Enterprises Turn Analytics Into Autonomous Action
IFS' growth reflects the transition of Industrial AI from experimentation to scalable autonomous operations in asset-intensive industries, enabled by purpose-built AI that autonomously executes decisions across manufacturing and supply chain management.
Analytics and AI
Industrial AI Platform Combines Virtual Twins, Accelerated Computing
Dassault Systèmes and NVIDIA's strategic partnership aims to revolutionize industrial AI by creating an integrated architecture that combines virtual twin technologies with AI infrastructure, enabling real-time simulations and accelerated workflows for manufacturing and engineering.
Riff logo representing the company behind the agentic AI digital transformation report.
Analytics and AI
Why Agentic AI May Succeed Where Digital Transformation Stalled
After a decade of heavy digital investment, many enterprises still struggle to translate infrastructure into measurable outcomes. A new report from Riff argues agentic AI changes the economics of delivery by narrowing the distance between expertise and action. Success now depends on how leaders redesign workflows, governance, and ownership.
Unit4 and Pragmatic AI
Analytics and AI
Community Survey Reveals Cloud Migration Progress Alongside AI Adoption Gaps
The third annual State of the Infor Community Survey by RPI Consultants reveals that while cloud migration among Infor users is accelerating, organizations face training, process optimization and AI integration challenges.
Analytics and AI
Oracle AI Agents Improve Efficiency, Resiliency for Supply Chain Leaders
Oracle has introduced AI agents within its Fusion Cloud Applications to streamline supply chain decision-making and efficiency by automating workflows and providing actionable insights.
Analytics and AI
SAP Expands AI Skills Initiative as Workforce Readiness Becomes a Constraint on ERP Transformation
SAP is enhancing its global learning ecosystem to equip 12 million people with AI-ready skills by 2030, focusing on expanding instructor-led training, implementing performance-based certifications, and targeting strategic markets like India, to meet the increasing demand for trained professionals in AI and ERP environments.
Analytics and AI
Camunda Names White as Chief Revenue Officer
Camunda has appointed Chris White as Chief Revenue Officer to drive revenue growth and leverage his 30 years of experience in scaling customer-facing organizations, amid a backdrop of impressive growth in 2025.
Analytics and AI
Why AI-Ready ERP Depends on Industrial-Scale Cloud Infrastructure
As enterprise software enters a new AI era, the focus shifts from the efficacy of AI models to the reliability and scalability of ERP infrastructure, with companies like Oracle emphasizing the importance of robust, unified data foundations to ensure consistent performance in business operations.
Analytics and AI
Workday Names Co-Founder Aneel Bhusri CEO as Company Reorients Leadership for AI Era
Workday appointed co-founder Aneel Bhusri as CEO, succeeding Carl Eschenbach, to lead the company's next phase focused on leveraging AI within enterprise applications while maintaining operational discipline established during Eschenbach's tenure.
Analytics and AI
Acumatica Summit 2026: Manish Chandak
At Acumatica Summit 2026, Tech Electronics CEO Manish Chandak discussed the evolving themes in ERP, focusing on the impact of digital replicas and AI on the future role of ERP systems.
Analytics and AI
ERP Today Interview: Achyut Jajoo
Salesforce's Achyut Jajoo talks with ERP Today about how they're working on helping manufacturers enhance operational scalability through prebuilt AI templates and improving autonomy and competitiveness in the face of labor shortages.
Analytics and AI
Clarity in the Data Jungle
SAP is embedding AI into its systems to transform raw data into actionable intelligence, enhance operational efficiency, and drive innovation, thereby helping organizations lower costs and improve customer satisfaction.
Renewable_Energy_Development
Analytics and AI
IFS Launches AI-Powered Disaster Response Platform for Utilities
IFS' Nexus Black Resolve for Utilities is an AI-driven platform that enhances field service management by improving workforce coordination, automating communication and integrating predictive maintenance capabilities.
SAP logo displayed on a vertical banner outside an office building
Analytics and AI
SAP, AWS Embed Generative AI Directly Into SAP Consulting Work
SAP and AWS are embedding generative AI into SAP consulting work through SAP Joule for Consultants, integrating Anthropic Claude models via Amazon Bedrock to support delivery teams.
Business user interacting with AI-powered analytics on a laptop, illustrating enterprise AI and real-time data intelligence.
Analytics and AI
The New ERP Backbone: Databricks, Inetum, and the Shift to AI-Native ERP Architectures
ERP systems are entering an AI-augmented era, but many data foundations are not ready. This analysis examines why AI-native ERP architectures are emerging, how Databricks is becoming the intelligence layer, and how Inetum helps enterprises operationalize AI with trust, governance, and scale.
Oracle Database
Analytics and AI
Oracle AI Database 26ai Brings Enterprise AI to On-Premises Deployments
Oracle's release of AI Database 26ai Enterprise Edition for on-premises Linux x86-64 platforms brings AI vector search, quantum-resistant encryption, and autonomous database features to facilitate data sovereignty and regulatory compliance.
Rootstock Launches Summer ’25 Release with AI Agent, New Data Grid, and Expanded Financials
Analytics and AI
i-Genie.ai Joins Microsoft’s Pegasus Program
i-Genie.ai's acceptance into the Microsoft for Startups Pegasus Program highlights its rapid growth and provides access to advanced AI tools and a global customer network.
Analytics and AI
Achieving Manufacturing Operational Excellence in the Marketplace
The partnership between Syspro and SugarCRM introduces Sugar for Syspro, designed to enhance sales navigation and operational efficiency in complex manufacturing environments by eliminating manual data entry errors and fostering collaboration through integrated ERP-CRM visibility.
Analytics and AI
ERP in 2026: What Changes When Systems Start Acting on Our Behalf
As ERP transitions from a control-centric model to one empowered by agentic AI that autonomously executes decisions, CIOs must rethink governance, accountability, and operational readiness to address new risks and ensure effective outcomes.
Analytics and AI
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
Microsoft Q2 2026 Results Show AI, Cloud Growth Accelerating as Spending Surges
Microsoft reported strong Q2 FY2026 results with $81.3 billion in revenue, driven by significant growth in cloud and AI services, despite a sharp increase in capital expenditures to support infrastructure demands, reflecting the company's aggressive AI ambitions.
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