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
AI Moves to the Core of ERP: What Technology Leaders Should Expect 
Artificial intelligence is evolving from a supplementary feature to an essential element of ERP, enhancing demand forecasting, operational responses, and executive decision-making.
A ground-level view of the White House
Analytics and AI
Workday to Support US Tech Force in Building AI-Ready Federal Workforce
The company brings a skills-based approach to talent management through Workday Government Cloud, aligning with federal modernization efforts.
Analytics and AI
The Enterprise AI Revolution Is Boring, and That Is What Makes It Work
The article advocates for 'boring AI,' which emphasizes embedding AI into back-end processes and workflows to deliver real operational value, as opposed to flashy, superficial applications that often fail to provide measurable returns.
ERP AI
Analytics and AI
How Manufacturers Can Achieve Operational Stability in 2026
As manufacturers head into 2026, they face pressure to enhance efficiency and stability through modern ERP technologies, moving from reactive chaos to predictable operations.
Front of Brookfield office in Toronto, Canada.
Analytics and AI
Brookfield Launches Radiant to Provide AI Infrastructure for Enterprises
Brookfield launches Radiant, a new subsidiary offering high-performance AI compute infrastructure to enterprises and developers. Leveraging renewable energy, regional data centers, and integrated land, power, and compute, Radiant aims to provide predictable, low-carbon AI workloads.
Microsoft logo on a black front door | Cognizant and Microsoft expand partnership
Analytics and AI
i-Genie.ai Joins Microsoft’s Pegasus Program to Accelerate Innovation
i-Genie.ai, an AI consumer insights platform, has joined the exclusive Microsoft for Startups Pegasus Program to enhance its growth with advanced technology and mentorship.
The Great Cloud Recalculation Oracle+IBM
Analytics and AI
Epicor Sets Final On-Premises Release Dates as Cloud Strategy Accelerates
Epicor has announced the timeline for the final on-premises feature releases of its ERP platforms, urging customers to evaluate cloud migration as it transitions towards AI-powered capabilities, with support phases outlined and potential savings highlighted.
Analytics and AI
Africa Races to Build AI Skills as Training Demand Surges While Budgets Lag
African organizations are rapidly developing AI-focused skills amid tightening training budgets, leading to a significant gap between the growing demand for AI expertise and the resources allocated for skills development.
Analytics and AI
Panaya’s AI-Driven Autonomous Testing Layer Designed to Ease ERP Bottlenecks
Panaya's Seemore agentic AI layer enhances autonomous testing for SAP, Oracle, and Salesforce, allowing enterprise teams to manage updates more efficiently through risk analysis, codeless test creation and self-healing scripts, amid an anticipated surge in the automation testing market driven by the demand for AI-ready ERP capabilities.
Data with South Korea flag in the background
Analytics and AI
South Korea’s AI Basic Law Takes Effect in 2026: What Businesses Need to Know
South Korea’s AI law, effective January 22, 2026, requires organizations using high-impact AI systems to conduct risk assessments, maintain human oversight, and prepare for compliance during a one-year grace period.
CloudPaths NetSuite ARM
Analytics and AI
Healthcare ERP Market Set to Double by 2033 as Hospitals Lean on Finance-Led, On-Premises Platforms
The healthcare ERP market is set to more than double from USD 7.5 billion in 2023 to USD 15.7 billion by 2033, driven by hospitals' need for integrated operations and data centralization amidst rising complexity and regulatory pressures, with finance and billing being the leading segments.
Analytics and AI
Five ERP Strategic Implications for Operations Leaders in 2026
As organizations face a pivotal shift in ERP to autonomous action-driven frameworks, leaders must prioritize rapid modernization, governance transparency, and adaptability to remain competitive.
Analytics and AI
Case Study: The Metropolitan Atlanta Rapid Transit Authority (MARTA)
MARTA needed Oracle Fusion data to land in Databricks reliably, repeatedly and with the right level of control without turning every new flow into a custom development project. Orbit Analytics implemented Orbit Data Pipelines, a no-code ETL and ELT framework purpose-built for Oracle Fusion.
M&A
Analytics and AI
Enterprise Software Faces AI-Driven Disruption as Development Productivity Gains Fail to Materialize
In 2026, the enterprise software industry will undergo significant disruption due to AI, leading to increased merger and acquisition activity among mid-market companies, while organizations struggle to convert productivity gains from AI into strategic business value.
Data processing over infrastructure construction site
Analytics and AI
Six Data Pivots That Decide Whether Your AI Strategy Scales in 2026
AI is forcing businesses to modernize data architectures. CData’s e-book outlines six pivots to scale AI-driven products.
Analytics and AI
Three Trends Changing Manufacturing ERP in 2026
The manufacturing ERP landscape is transforming by 2026 due to the emergence of autonomous operations, composable architectures and sustainability ledgers, shifting focus toward action, which requires new governance and integration strategies.
ERP
Analytics and AI
How Next-Gen EAPs Are Reshaping Manufacturing IT 
Nextworld's enterprise applications platform (EAP) empowers manufacturers to modernize their operations through a flexible, no-code/low-code architecture, enabling them to implement tailored modules and custom workflows.
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.
GCC emblem with digital code background
Analytics and AI
How Gulf States Are Approaching Digital Sovereignty
Gulf states are building digital sovereignty frameworks to strengthen infrastructure and move from importing to operating cloud and AI services locally. National regulations, major investments, and regional collaboration support this transformation.
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.
Follow us on LinkedIn for the latest updates