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
OpenAI Is Targeting Hospitals and Patients Alike with Healthcare Platform, ChatGPT Health Data Integrations
OpenAI is venturing into healthcare with 'OpenAI for Healthcare' aimed at institutions and a consumer-focused 'ChatGPT Health' that personalizes medical interactions, while addressing privacy concerns and the need for robust data governance.
EY Digital Marketplace
Analytics and AI
Hg Acquires OneStream to Accelerate Finance AI Platform Development
OneStream has entered a $6.4 billion all-cash acquisition agreement with Hg, enhancing its AI capabilities and signaling intensified competition within the expanding corporate performance management software market.
Analytics and AI
Retail AI Hits NRF 2026: SAP, Microsoft, Workday Turn Agentic Platforms into New Operating System for Stores and Commerce
Retail tech giants SAP, Microsoft, and Workday are leveraging AI to transform commerce operations into integrated, agent-driven systems at the NRF 2026 event, showcasing a shift from isolated applications to comprehensive retail infrastructure.
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.
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.
SAP
Analytics and AI
RISE with SAP: Cloud ERP Adoption Accelerates Ahead of 2027 Deadline—SAPinsider Benchmark Report
SAPinsider’s RISE with SAP 2025 benchmark shows cloud ERP adoption accelerating as the 2027 end-of-maintenance deadline approaches. New data reveals how generative AI, security readiness, and organizational size are shaping SAP S/4HANA Cloud Private migration decisions.
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
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.
The Great Cloud Recalculation Oracle+IBM
Analytics and AI
Oracle NetSuite Expands SuiteCloud Platform with New AI Tools for Developers, Partners
Oracle NetSuite has enhanced its SuiteCloud platform with new AI capabilities that enable developers to create intelligent applications through standardized connectors and automated tools, aiming for a more integrated and efficient ERP experience.
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.
Red Hat signage on a office building.
Analytics and AI
Red Hat Acquires Chatterbox Labs to Strengthen AI Safety and Governance
Red Hat acquires Chatterbox Labs to add AI safety, guardrails, and risk metrics across its enterprise AI portfolio.
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.
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