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 Great Cloud Recalculation Oracle+IBM

Application Development and Integration

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.

Financial Management

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.

ERP Strategy and Planning

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.

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

Data and Data Management

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.

Manufacturing Systems and Automation

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.

The coast of Da Nang with the city against the beach and ocean

ERP Strategy and Planning

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.

Cloud Platform and Technology

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.

Quality and Testing

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.

Governance, Risk, and Compliance

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.

Supply Chain Management

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: 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.

Analytics and AI

SAP, Partners Turn Embedded Business AI into Concrete ERP Wins

SAP and its partners are transforming AI from concept to implementation by integrating SAP Business AI and SAP BTP into workflows that enhance efficiency and collaboration, as illustrated by successful case studies from companies like FRoSTA and Aspen Pumps.

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.

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.

ERP Strategy and Planning

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.

Data and Data Management

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.

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.

Business Process Management and Automation

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.

Financial Management

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.

Security

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.

Financial Management

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 and Data Management

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.