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.

The coast of Da Nang with the city against the beach and ocean
Analytics and AI
Vietnam Draws More Than $7 Billion in AI Data Center Investments, Reshaping Enterprise Infrastructure
Create Capital Vietnam and Haimaker.ai have unveiled a $1 billion joint venture to build a nationwide AI-focused data center network in Vietnam, part of a broader surge of more than $7 billion in AI infrastructure investment driven by policy incentives and rising enterprise demand.
ERP AI
Analytics and AI
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
The Cloud Velocity Trap for Testing
CIOs face significant challenges during ERP migrations due to inadequate testing strategies and a rush towards AI solutions, highlighting the necessity for continuous testing and thorough documentation to ensure successful system integration.
Analytics and AI
Oracle AI World’s IBM Sessions: What Enterprises Must Build Before AI Can Deliver
At Oracle AI World, IBM emphasized that successful AI adoption in enterprises relies not on flashy models but on robust foundational preparations, governance, and aligned business processes, showcasing that scalable AI implementations require clean data and integrated workflows.
Analytics and AI
Data Integrity is the New ERP Mandate
Data integrity is crucial for ERP success, as reliable information underpins automation and insights; organizations must modernize data handling without full system overhauls, confront legacy issues, and embrace governance to enhance efficiency and decision-making.
Analytics and AI
Creating Supply Chain Value Through Analytics and AI
AI and analytics are transforming supply chain management by automating repetitive tasks, redefining planner roles into strategic storytellers, and providing decision intelligence to navigate disruptions.
Analytics and AI
Year in Review: Testing, Transformation, and the Race to AI-Ready ERP in 2025
In 2025, the conversation around cloud migration shifted from why to how. According to SAPinsider’s 2025 research report on SAP S/4HANA deployment, for instance, 31% of the organizations who responded to the survey have transitioned to SAP S/4HANA, while another 27% are in implementation. Additionally, 54% of respondents said they plan to incorporate AI or...
Analytics and AI
Year in Review: ERP AI Integration Went from Promise to Performance in 2025
End users in 2025 stopped seeing AI as a futuristic buzzword for enterprise planning. What had long been pitched as a future differentiator finally began delivering measurable operational benefit this year. According to ERP Today’s reporting on the manufacturing sector, 82% of companies increased...
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
Alphabet’s Intersect Buy Tightens Link Between AI Data Centers and Clean Energy Infrastructure
Alphabet is acquiring Intersect for $4.75 billion to enhance its data center and energy infrastructure capabilities as part of its AI strategy, while Intersect will operate independently and collaborate closely with Google on new facilities.
kyano
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.
Google Gemini Logo
Analytics and AI
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.
Analytics and AI
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.
MCP Platform
Analytics and AI
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.
Coda
Analytics and AI
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
Analytics and AI
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.
Analytics and AI
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.
Analytics and AI
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.
Analytics and AI
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
Analytics and 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.
Analytics and AI
Oracle NetSuite Introduces NetSuite Next to Reimagine ERP with Embedded AI, Natural-Language Workflows
Oracle NetSuite's NetSuite Next update introduces conversational AI and agent-driven workflows within its ERP suite, enabling users to perform tasks through natural language prompts and intelligent automation, thereby simplifying operations and enhancing user accessibility.
Analytics and AI
Manufacturing Expands Physical Automation with AI-Driven Robotics
Manufacturers are transitioning to AI-enabled robotic ecosystems that enhance productivity and quality by integrating with ERP and MES systems, which leads to significant improvements in efficiency and maintenance planning.
Analytics and AI
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
Analytics and 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
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.
Analytics and AI
Nextworld Platform 25.2: Ambient AI, Visual Workflows for ERP  
Nextworld's Platform 25.2 enhances business operations by introducing ambient AI agents, a Visual Workflow Builder and an upgraded Developer Studio, streamlining automation and innovation while empowering technical and non-technical users to simplify complex workflows.
Unit4 and Pragmatic AI
Analytics and AI
AI Growth Will Outrun Power Capacity Without Industry Collaboration
As AI's electricity demand surges, energy executives emphasize the critical need for rapid infrastructure development and strategic energy planning to sustain digital transformation.
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