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
Rise with SAP Security Risk Is Increasingly Shaped by Timing, Data, Assurance
As organizations accelerate their migration to SAP S/4HANA Cloud Private Edition, security risks intensify, prompting a shift in focus towards proactive security measures, data-centric access control, and a structured assurance model to ensure effective protection and compliance in increasingly complex cloud environments.
Analytics and AI
IFS Cloud Selected to Modernize JVCKENWOOD’s Manufacturing Operations
JVCKENWOOD has chosen IFS Cloud as its unified ERP and MES system to enhance global production and supply chain efficiency through Industrial AI, signaling a shift in manufacturing competitiveness toward integrated, AI-driven decision-making.
Analytics and AI
How Clean Core ERP Has Evolved Into a Mandate
A clean core ERP system prioritizes standardization and controlled extensions to enhance manufacturing efficiency, allowing organizations to rapidly adapt and innovate without compromising the integrity of their operational systems.
closeup-photo-of-eyeglasses_ERP finance workflows
Analytics and AI
Zone & Co Launches ERP Command Interface for Agentic Finance
Zone & Co has introduced Zone Control Center, a command interface that enables finance teams to monitor and orchestrate ERP finance workflows using the Zoe agentic orchestration layer.
Analytics and AI
‘The Intelligence is Embedded in the Workflow’: Jeff Weiss
CMiC's Nexus 1 integrates over 25 AI agents into its ERP, enabling construction professionals to interact with project data using natural language, streamline workflows, reduce report preparation time and enhance decision-making.
Analytics and AI
Agentic AI Operating Models are Redefining Supply Chain Design
As supply chains experience growing disruptions, leading organizations are adopting agentic AI operating models that autonomously optimize operations and react to real-time events while necessitating governance to address challenges like data accuracy and security.
Oracle Database@Google Cloud
Analytics and AI
Oracle Beats Estimates as AI Cloud Demand Surges, Lifts 2027 Revenue Outlook to $90B
Oracle's shares surged 10% after reporting strong fiscal third-quarter results, with higher-than-expected earnings and revenue driven by cloud and AI infrastructure demand, while also raising its 2027 revenue outlook amid significant new contracts and a plan to expand its data center capacity.
Salesforce tower_Salesforce Agentforce AI agents
Analytics and AI
Salesforce Pushes ‘Agentic Enterprise’ Vision with Telecom AI Agents and New AI Work Metric
Salesforce has introduced telecom-specific AI agents, expanded Agentforce for IT service management, and unveiled a new metric called the Agentic Work Unit to measure the work completed by AI agents across enterprise systems.
SAP S/4HANA
Analytics and AI
Japan Cloud ERP Market Growth Propelled by Digital Transformation, AI
Japan's cloud ERP market is set for a breakout with projected 20.1% annual growth through 2032, driven by government-backed digital transformations and increasing AI adoption.
pixelated clouds for Boomi
Analytics and AI
Data Activation vs. AI Frustration: Analyzing Boomi’s 2026 Platform Evolution
The AI honeymoon is over. Explore how Boomi’s new Meta Hub and Agent Control Tower solve the "fragmented data" bottleneck to move enterprise AI into governed production.
paying-using-credit-card_Avalara acquires Versori
Analytics and AI
Avalara Acquires Versori to Accelerate AI‑Native Enterprise Integration
Avalara has acquired integration platform company Versori to expand AI-driven enterprise integrations and embed automated tax compliance across ERP, e-commerce, and finance systems.
Zurich Switzerland street scene representing Microsoft Azure cloud infrastructure region supporting sovereign data and AI deployments.
Analytics and AI
SAP Business Data Cloud Expands to Azure Switzerland with EU Access Controls
SAP is preparing to launch its Business Data Cloud platform on Microsoft Azure infrastructure in Switzerland in the coming weeks, introducing a deployment designed to meet European data residency and governance requirements. The rollout includes “EU Access” availability, meaning data...
Canva on a computer screen_Agentic sales orchestration platform
Analytics and AI
EY Launches Agentic Sales Orchestration Platform with Snowflake and Canva
EY has partnered with Snowflake and Canva to launch an agentic sales orchestration platform designed to unify enterprise AI tools, combining data intelligence with automated content creation to streamline sales workflows.
Analytics and AI
CMiC Launches AI-Powered Construction ERP to Improve Processes
CMiC has introduced NEXUS, an AI-powered construction ERP platform with over 25 integrated intelligent agents and analytics, transforming ERP into an AI-operating environment and automating various project management and financial processes.
Analytics and AI
AI Assistants Are Emerging as the Control Layer for Autonomous Supply Chains
AI-powered assistants are revolutionizing supply chains by enhancing data accessibility, responsiveness, and execution speed, with organizations investing in these tools experiencing significant operational and financial benefits.
CData logo representing MCP performance optimization and managed AI connectivity platform.
Analytics and AI
Optimizing MCP for Production: 10 Proven Performance Techniques
Model Context Protocol (MCP) is becoming production infrastructure for AI agents. This article outlines 10 proven performance optimization techniques to improve latency, throughput, and scalability while positioning managed MCP platforms as a foundation for reliable enterprise AI.
Analytics and AI
US Air Force Awards Oracle $88M to Expand Cloud One Modernization with OCI, AI Database
The US Department of the Air Force has awarded Oracle an $88 million task order to provide Oracle Cloud Infrastructure services, enhancing cloud modernization efforts and expanding access to AI-enabled database capabilities in classified environments.
a-red-bull-racing-car-on-a-race-track-Oracle Red Bull Racing partnership
Analytics and AI
Oracle Red Bull Racing Partnership with Oracle Extended to Power AI-Driven F1 Performance
Oracle and Oracle Red Bull Racing have extended their title partnership, deepening the use of cloud infrastructure, AI, and enterprise applications ahead of Formula 1’s 2026 regulatory shift.
Nvidia logo displayed against stock market chart background symbolizing AI infrastructure growth and earnings performance.
Analytics and AI
Nvidia Earnings Signal Expanding AI Infrastructure—and New ERP Risk Dependencies
Nvidia’s FY26 earnings confirm accelerating AI infrastructure investment. For ERP leaders, the real story lies in emerging dependencies across hyperscaler leverage, security posture, and enterprise data governance.
Analytics and AI
NetSuite Pushes Persona-Driven AI Agents to Make ERP Intelligence Contextual, Actionable
At SuiteConnect New York, Oracle NetSuite emphasized that effective AI in business relies on operational context rather than just model sophistication, advocating for an autopilot approach that integrates intelligence into workflows, exemplified by their Ask Oracle conversational interface tailored for specific roles.
Analytics and AI
Workday, Salesforce FY26 Q4 Earnings Show Growth, Scale, and Platform Competition
Recent fourth quarter fiscal year 2026 earnings from Workday and Salesforce highlight the significance of production-grade AI adoption and platform expansion in driving enterprise software growth.
Analytics and AI
Survey Finds Supply Chain Preparedness Gaps
Sage's State of Supply Chain Report reveals many companies are unprepared for disruptions, emphasizing the need for improved visibility and system integration in supply chains as only half of supply chain teams are confident in their response capabilities.
Analytics and AI
Steering Cloud ERP Migrations with Data Governance
Migrating to a modern cloud ERP system requires prioritizing high-quality data management to avoid legacy pitfalls, including early-stage data validation, strategic archiving, and creating unified golden records to ensure a successful transformation.
European Union flag in front of modern glass office buildings symbolizing cloud sovereignty and digital regulation in Europe.
Analytics and AI
Why Inetum Sees Control—Not Infrastructure—as the Real Sovereignty Challenge
ERP modernization in Europe now unfolds under sovereignty expectations. Data control, hybrid architecture, and governance-by-design increasingly determine whether AI-enabled systems can withstand regulatory scrutiny and scale with confidence.
SPS Commerce logo displayed on smartphone screen with financial and supply chain analytics background.
Analytics and AI
SPS Commerce Introduces MAX, Embedded AI for Supply Chain Workflows
SPS Commerce introduces MAX, embedded AI that guides retail trading workflows, surfaces anomalies, and supports compliance across supply chain networks.
red hard hat_TRIL clean core strategy
Analytics and AI
How TRIL is Using Clean Core to Power AI and Achieve Carbon Neutrality Goals
Tata Realty & Infrastructure is modernizing its SAP core to scale AI, digital twins and sustainability, targeting net carbon neutrality by 2045.
Businessperson hold an image of an AI agent in hand.
Analytics and AI
AI’s Priority Shift and Impact for ERP Systems
Aptean is shifting from AI pilot projects to embedding vertical AI within ERP systems such as AppCentral 2.0, emphasizing the necessity for industry-specific intelligence to enhance decision-making, productivity, and competitive advantage for midmarket enterprises.
Follow us on LinkedIn for the latest updates