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Many warehouses struggle with automation due to a lack of strategic alignment and defined success metrics, leading to ineffective technology investments over outdated processes, which can be mitigated by establishing clear KPIs, conducting business case assessments and ensuring data integrity.

This guide helps ERP-focused buyers understand where intelligent document processing delivers the greatest impact across their organization — from finance and procurement to supply chain and logistics. It presents use cases by industry and document type, allowing readers to quickly...

A practical, step-by-step ebook for finance and AP leaders preparing to automate invoice processing. It guides readers through choosing the right technology, mapping their current workflows, writing an effective RFP, and onboarding efficiently — with a focus on real-world implementation realities rather than vendor marketing. Relevant for any organization running a modern ERP system who is considering AP automation for the first time or upgrading from a legacy OCR solution.

SAP Business Data Cloud reflects a shift in ERP data architecture, introducing a unified, governed data layer that changes how data is structured, managed, and used across systems.

SAP and the Open Data Institute have launched a new initiative to define AI-ready data infrastructure, signaling that enterprise AI success will depend on governance, interoperability, and architecture.

The Application as a Service model is increasingly adopted by businesses seeking flexibility over monolithic systems, prompting CIOs to adapt their purchasing, integration, and governance strategies for a diverse array of specialized applications across various sectors, while also addressing challenges related to vendor management and ensuring data consistency.

Parle’s move to SAP Cloud ERP Private shows how clean core ERP and hybrid cloud can reduce costs, standardize operations, and enable data-driven decision-making at scale.

Aptean highlights that successful ERP migrations depend more on data readiness, process simplification, and user preparedness than on software itself, advocating for disciplined data strategies and industry-specific best practices to minimize risks and complexities.

CRIS benchmark data reveals SAP security maturity is moderate overall but uneven, with persistent gaps in access, data, and governance controls where business risk is concentrated.

Accenture's finance transformation using SAP Business AI demonstrates how embedded generative AI can unlock significant cash flow and efficiency improvements for ERP organizations, providing a clear roadmap for AI-driven finance strategies amidst evolving challenges.

Maersk’s move to SAP on Azure highlights how cloud ERP modernization can reduce costs, improve operational control, and enable AI-driven decision-making at scale.

Oracle has launched a Defense Industrial Base isolated cloud environment to enable secure collaboration, AI, and HPC across classified workloads while meeting strict government requirements.

Kyndryl's Agentic Service Management framework transforms IT operations into secure, autonomous workflows, offering CIOs a structured path to scale AI-native service management while embedding governance and security protocols essential for enterprise environments.

As Europe navigates geopolitical tensions and regulatory changes, digital sovereignty has emerged as a critical consideration for cloud transformation in SAP, prompting organizations to strategically assess their data control needs and optimize workloads for cost efficiency.

In a world of volatile markets, new AI technologies, and mounting compliance pressure, the RISE with SAP journey becomes your chance to design an SAP landscape that is both cloud‑innovative and sovereign by default. With T-Systems orchestrating sovereign private cloud, hyperscalers, and a powerful European AI infrastructure, you can selectively protect your most critical workloads while accelerating digital transformation on your own terms.

IFS is revolutionizing Industrial AI adoption by shifting pricing from named users to the operational assets managed by customers, aiming to simplify funding and scalability for CIOs and COOs while encouraging broader deployment across industries.

Manufacturers' urgency to modernize their ERP systems amid rising AI demands must prioritize careful sequencing over risky big bang implementations, as organizational readiness and data maturity are critical for successful transformation amidst growing complexity.

Cost pressure is redefining how organizations approach ERP and AI in 2026. SAPinsider’s latest benchmark shows S/4HANA transformation, platform investment, and operational efficiency shaping technology decisions. The findings highlight a shift toward execution across overlapping priorities.

Clorox shares how it planned and executed its SAP S/4HANA transformation, highlighting adoption, execution trade-offs, and how success is defined after go-live.

Syspro has appointed Leanne Taylor as CEO, succeeding Jaco Maritz, to spearhead the company's next phase of growth driven by AI and operational intelligence in ERP, reflecting a strategic alignment with its new ownership under Advent.

Oracle is advancing in the federal market with its AI-powered Federal Financials, now listed in the U.S. Treasury’s FM QSMO Marketplace, which facilitates the transition from legacy systems to a modernized, integrated ERP platform for public finance teams.

Recent massive investments in data centers by major tech companies signify a transformative buildout of global computing capacity, driven by the demands of enterprise AI, geographic strategic importance, and energy constraints, reshaping how cloud and AI services will be delivered in the future.

Infor's Rick Rider argues that rather than the "SaaSpocalypse" narrative suggesting autonomous AI will replace traditional SaaS, vertical industry-specific SaaS will actually enhance AI's reliability and precision.

How Visionsoft helps enterprises unify Microsoft, Oracle, and other ERP platforms through integration, migration, and intelligent architecture.

Mark Anthony Group (MAG) unified fragmented data using Snowflake to improve visibility, reduce total cost of ownership, and enable faster, AI-driven decisions across global operations.

Most organizations are still making critical business decisions on top of rigid planning cycles, fragmented data, and limited AI adoption—slowing their response to disruption and constraining innovation before it starts. Drawing on new IBM Institute for Business Value (IBV) research, this session explores how finance leaders can break through those structural barriers by modernizing their operating model and establishing a connected, AI-enabled finance backbone. You will see how integrated data platforms and AI-powered forecasting can sharpen decision speed, strengthen governance, and position finance as the function guiding capital to its highest-value opportunities across the enterprise. We will walk through a practical roadmap for shifting to a dynamic, value-based finance operating model—one that aligns finance with enterprise decision bodies and elevates finance talent into true strategic partners. Using IBV findings alongside real-world practices, we will show how embedded AI, adaptive planning cadences, and agile budgeting models work together to deliver more accurate forecasts, more effective capital allocation, and faster transformation outcomes. You will leave with concrete steps to evaluate your organization's current maturity and build an execution plan that balances speed, trust, and control. Why Watch - IBV research findings reveal why traditional planning and finance structures are holding back decision speed, innovation, and AI adoption at scale - A practical blueprint for a dynamic, value-based finance operating model built on integrated data platforms and AI-enabled planning - How leading organizations are applying AI-powered forecasting and scenario modeling to improve forecast accuracy and accelerate capital deployment - Actionable guidance to assess your finance organization's maturity and prioritize near-term moves toward an AI-enabled finance backbone

Rocketlane has launched Nitro, an AI execution layer embedded within its PSA platform to automate repeatable delivery tasks. The platform extends AI from planning and reporting into execution inside live projects. This approach aims to improve consistency and predictability across professional services delivery.

Deltek is establishing itself as a specialized AI platform for project-based industries, focusing on lifecycle orchestration rather than standalone ERP functionalities, as validated by IDC MarketScape, which underscores its strength in integrating AI across project workflows to enhance efficiency and compliance.

AttivoERP's acquisition of Acuity Consulting Group marks its shift from implementation to higher-value advisory services, responding to midmarket demand for comprehensive ERP guidance and a broader evolution in the industry toward integration of advisory capabilities, vendor neutrality, and full-lifecycle transformation.

Webinar on demand  Enterprises are investing heavily in AI but are struggling to move beyond pilots, redesign work, and prove ROI on Oracle platforms. This webinar shows how to operationalize AI using IBM’s Client Zero experience and Oracle technology as...