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SUMMARY:Reducing the JD Edwards Compliance Burden: Taking Control of SOX and ISO
DESCRIPTION:Reducing the JD Edwards Compliance Burden: Taking Control of SOX and ISO  \nCompliance is a costly\, time-intensive burden for JD Edwards organizations. Recent findings underscore the pressures: 45% of organizations reported higher SOX costs\, 18% rise in new controls and only 17% of controls are automated.   \nAs finance and IT control requirements grow\, it is challenging to adapt frameworks\, budgets\, and resources. Over half of organizations are unsatisfied with external auditing support\, leaving internal teams to carry most of the operational burden of compliance.   \nIn this webinar\, we examine how organizations can achieve SOX and ISO 27001 requirements by scaling their ERP environment with tools that improve access controls\, increase automation\, and lower compliance costs.   \nDesigned for IT\, Finance\, and Audit leaders\, we will examine the ERP control areas most critical to compliance    \n\n Automated user access reviews with industry best-practice controls \n Segregation of dutiesmonitoring and remediation  \n Real-time analytics and audit-ready reporting todemonstrate compliance  \n Change Control with documented audit trails\n\n			\n				REGISTER NOW
URL:https://jdemart.com/event/reducing-the-jd-edwards-compliance-burden-taking-control-of-sox-and-iso/
LOCATION:Webinar
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://jdemart.com/wp-content/uploads/2026/04/May-2026-1.png
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DTSTART;TZID=Europe/Madrid:20260527T200000
DTEND;TZID=Europe/Madrid:20260527T210000
DTSTAMP:20260506T100920
CREATED:20260401T210558Z
LAST-MODIFIED:20260402T190020Z
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SUMMARY:Is Your JDE Data AI-Ready? Building the Foundation AI Actually Needs
DESCRIPTION:Is Your JDE Data AI-Ready? Building the Foundation AI Actually Needs  \nAI is the biggest topic in enterprise analytics right now. But for most JD Edwards organizations\, there’s a gap between AI ambition and AI reality. Leadership wants predictive forecasting and intelligent automation. The data is still locked in cryptic E1 table structures\, fragmented across modules\, and full of Julian dates and undecoded UDC values that no AI model can work with.  \nAI doesn’t fail because of bad algorithms. It fails because the data isn’t ready.  \nThis session will cover what AI readiness actually looks like for JDE organizations. We’ll walk through the specific JDE data challenges that block AI success and show what it takes to build a clean\, governed\, AI-ready data foundation on a modern lakehouse architecture.  \nThen we’ll prove it via a demo of AI working on real JDE data in real time\, including Databricks Genie (natural language queries on JDE financial and operational data) and Microsoft Fabric Copilot (AI-generated visuals and insights inside Power BI). You’ll see what becomes possible when the data foundation is right.  \n  \nYou’ll walk away with:  \n\nWhy AI projects stall at JDE organizations and what to do about it \n\n\nHow to transform raw E1 data into an AI-ready foundation in weeks\, not years \n\n\nLive demos of AI working on governed JDE data models \n\n\nA practical starting point\, wherever you are in your data journey \n\n  \nWho should attend: CIOs\, IT Directors\, BI/Analytics Leaders\, and Finance/Operations leaders at JD Edwards organizations exploring AI. Or anyone that wants to discover what it takes to be AI-ready.   \n			\n				REGISTER NOW
URL:https://jdemart.com/event/is-your-jde-data-ai-ready-building-the-foundation-ai-actually-needs/
LOCATION:Webinar
ATTACH;FMTTYPE=image/png:https://jdemart.com/wp-content/uploads/2026/04/May-2026.png
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