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
Acumatica Names Pollock as Chief Product Officer to Lead Cloud ERP Innovation
Acumatica has appointed Jon Pollock as Chief Product Officer to lead product management and user experience, focusing on advancing the company's strategy amidst growing demand for scalable cloud ERP solutions in mid-market businesses.
Analytics and AI
Microsoft Acquires Osmos to Embed Autonomous Data Engineering in Fabric Platform
Microsoft's acquisition of Osmos introduces agentic AI into Microsoft Fabric, revolutionizing data engineering by automating data preparation tasks, targeting improved efficiency for ERP professionals.
Analytics and AI
Oracle NetSuite Expands Partner Program to Accelerate AI Innovation
Oracle NetSuite has expanded its partner program with a new SuiteApp.AI Marketplace, enhanced developer resources, and certification pathways to accelerate AI adoption in its ecosystem, enabling partners to create AI-driven applications that integrate with core ERP workflows, while promoting faster innovation and reducing complexity for customers.
Analytics and AI
SPS Commerce Unveils AI-Enabled Supply Chain Innovations to Address Omnichannel Complexity
SPS Commerce has unveiled a suite of product innovations to help retailers and suppliers adapt to evolving supply chain challenges, emphasizing AI-enabled automation, omnichannel integration and industry standardization.
Businessperson hold an image of an AI agent in hand.
Analytics and AI
Microsoft Pitches Agentic ERP, CRM as Operating System for AI-First Enterprises
Microsoft's shift to AI-first autonomous enterprises involves agents across Dynamics 365 that interpret data, collaborate, and enhance operations by automating tasks within finance, supply chain, and CRM, emphasizing the integration of systems and intelligence for adaptive, measurable outcomes.
Analytics and AI
Anthropic Extends Claude into Healthcare, Matching OpenAI’s Health Push with Record-Aware, HIPAA-Ready Tools
Anthropic is launching Claude for Healthcare, a tool designed for both consumer and enterprise markets that integrates directly with health data sources while ensuring HIPAA compliance, marking a significant shift in healthcare AI to address the complexities of medical records and administrative tasks.
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.
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.
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.
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.
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.
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