EMEA

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.

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.

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.

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.

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.

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.

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.

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...

SAP security has gained visibility at the executive level but often fails to drive decisions due to a lack of effective translation of cyber risks into clear business impacts, as highlighted by Asha Vartak, emphasizing that awareness alone is insufficient for action in a landscape increasingly influenced by AI and regulatory pressures.

As SAP customers navigate the challenges of transformation deadlines, increasing cloud options, and rapid AI advancements, Anurag Barua emphasizes a structured approach to modernize with clarity amidst complexity, presenting vital insights at SAPinsider 2026 on utilizing RISE and GROW strategies for successful migration to SAP Cloud ERP.

Mid-sized manufacturers must implement Twin Transformation—simultaneously enhancing digital and sustainable practices across their operations—by leveraging SAP S/4HANA, Digital Manufacturing, and Sustainability Footprint Management while integrating principles of strategic planning, resource allocation, and organizational foundation to create cohesive value rather than fragmented initiatives.

Global cloud infrastructure spending hit $110.9 billion in Q4 2025, driven by AI demand. Hyperscalers are scaling capacity rapidly, reshaping how enterprises plan ERP and AI workloads.

UK organizations are increasing AI investment, but most are not yet seeing productivity gains at scale. Snowflake research highlights execution gaps driven by data, skills, and governance challenges.

Cell and gene therapy manufacturing is exposing the limits of manual coordination. As programs scale, digital orchestration is becoming essential to ensure traceability, reduce risk, and support operational execution.

A successful business transformation relies on selecting a Certified Partner who not only provides an effective solution but also ensures optimized processes, centralized data, and automated success for maximum value.

Discover what SAP's acquisition of Reltio means for the ERP landscape. Learn why unified master data is now the critical foundation for enterprise AI success.

SAP’s latest Engagement Index reveals a growing gap between how businesses perceive customer experience and what consumers actually encounter. Fragmented data, weak AI execution, and siloed systems are driving dissatisfaction and brand abandonment. The findings highlight a shift in CX ownership toward enterprise data and architecture.

Levi Strauss & Co. is advancing its digital transformation with a 60% complete global ERP modernization aimed at enhancing AI-driven orchestration and data visibility, as the company shifts towards direct-to-consumer sales expected to represent 55% of its growing revenue, while simultaneously upgrading its supply chain and e-commerce infrastructure.

The financial close process is hindering finance leaders' strategic capabilities due to inefficiencies caused by manual work and heavy spreadsheet reliance, necessitating a shift towards standardized and automated processes to reclaim valuable time and enhance leadership impact.

Group reporting and consolidation have become critical to CFO leadership as organizations grow more complex. Increasing demands—from multiple entities, currencies, and stakeholders—require faster, clearer, and more reliable financial insights. However, many finance teams still rely on slow, fragmented processes that deliver insights too late, forcing leaders to make decisions based on outdated information. This playbook highlights the shift from periodic to continuous, connected reporting, showing how real-time visibility improves confidence, strengthens credibility, and enables better decision-making. It also outlines how finance leaders can create a single source of truth and transform consolidation into a proactive, insight-driven process.