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UID:21947-1778752800-1778756400@motio.com
SUMMARY:From Vibe Coding to Control: Increase the Value of AI Across the Qlik Lifecycle
DESCRIPTION:Description\n\n\n\n\nAI is already part of how Qlik teams develop. It helps create apps and dashboards faster\, but speed comes with tradeoffs. More output\, less clarity. It’s not always obvious what was built\, how reliable it is\, or who owns it. That’s where quality drops and governance starts to drift. \nThis session focuses on using AI beyond creation. With a metadata catalog\, AI can help Qlik teams understand how work unfolds\, catch issues early\, and keep testing\, quality\, and governance on track. It’s about the value of AI to manage the lifecycle\, not just for vibe coding. \nWhat you’ll learn: \n\nHow AI helps to catch issues while development is still in motion\nHow metadata and AI keep context around changes without digging for it\nWhere AI surfaces patterns across apps\, reloads\, and support activity\nHow to keep quality and governance tight without adding more processes
URL:https://motio.com/event/from-vibe-coding-to-control-increase-the-value-of-ai-across-the-qlik-lifecycle/
ATTACH;FMTTYPE=image/png:https://motio.com/wp-content/uploads/2026/04/From-Vibe.png
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DTSTART;TZID=America/Chicago:20260528T100000
DTEND;TZID=America/Chicago:20260528T110000
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CREATED:20260408T181358Z
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UID:21895-1779962400-1779966000@motio.com
SUMMARY:Power BI Governance in the Age of Self-Service and AI
DESCRIPTION:At FabCon\, one thing kept coming up in conversations with BI and Data & Analytics Managers: the level of control they expected from DevOps and governance just isn’t there. \nPower BI environments don’t usually break all at once. They degrade gradually\, and most teams don’t notice until the damage is already done. \nSelf-service analytics\, small differences in DAX\, and AI-generated models all introduce variation across reports and semantic models. Over time\, that builds up. It gets harder to trace what changed\, and eventually\, numbers stop lining up the way people expect. \nAs self-service and AI adoption grow\, keeping things consistent only gets harder. Many teams rely on Azure DevOps and Git. They help in some areas\, but they don’t reflect the full environment. Gaps in metadata and limited visibility across workspaces make it tough to see what’s actually changing. \nThis session looks at those patterns more closely: \n\nwhere consistency starts to break across reports and models\, and how that impacts trust\nwhy Azure DevOps leaves gaps in visibility and control\nhow self-service growth and Power BI development introduce risk\nwhat a practical path forward looks like without adding more process\n\nIf you’re responsible for Power BI performance\, cost\, or reliability\, this is meant to help you step back and understand what’s really happening in your environment before things get harder to untangle. \n10 AM – 11 AM CDT / 16:00 – 17:00 UK / 17:00 – 18:00 Berlin/Paris
URL:https://motio.com/event/power-bi-governance-in-the-age-of-self-service-and-ai/
ATTACH;FMTTYPE=image/png:https://motio.com/wp-content/uploads/2026/04/May-28-PBI-Webinar-scaled.png
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DTSTART;VALUE=DATE:20260820
DTEND;VALUE=DATE:20260821
DTSTAMP:20260607T171020
CREATED:20260601T192229Z
LAST-MODIFIED:20260601T192229Z
UID:21979-1787184000-1787270399@motio.com
SUMMARY:IBM Business Analytics User Group - Modernizing Cognos Operations in the Era of Multi-BI Platforms
DESCRIPTION:Organizations today are balancing growing demand for self-service and AI-driven analytics across Cognos\, Power BI\, Tableau\, Qlik\, and other BI platforms. At the same time\, teams are being asked to maintain governance\, implement DevOps methodologies\, and manage operational change without disrupting delivery to the business. \nAs teams work toward more unified user experiences through initiatives such as IBM Analytics Content Hub\, they are also seeking ways to create more consistent and manageable operations across increasingly complex BI ecosystems. \nDuring the Business Analytics User Group\, we’ll discuss three key areas that organizations are focusing on as they modernize their analytics operations. \nFirst\, we’ll explore how organizations are supporting more unified experiences across BI platforms while enabling growing self-service and AI-driven initiatives. \nSecondly\, we’ll examine how teams are implementing governance strategies\, DevOps methodologies\, automation\, and operational processes to improve consistency\, visibility\, and control across analytics environments. \nFinally\, we’ll discuss how organizations are managing operational disruptors such as upgrades\, cloud migrations\, changes in security providers (e.g.\, moving to OKTA)\, and containerization initiatives\, while minimizing impact on business delivery. \nWe’ll also examine the evolving role of AI in governance and platform management\, including how AI can support deployment analysis\, operational coordination\, and governance visibility across increasingly complex environments. \nIBM Business Analytics Product Management will join the session to discuss current industry direction around AI\, automation\, Analytics Content Hub\, governance\, and enterprise BI strategy. \nWhether your organization is modernizing Cognos environments\, improving governance practices\, or working to reduce operational disruption across BI platforms\, this session will provide practical approaches for building more manageable and resilient operations. \nWe look forward to having you join us on Thursday\, August 20\, 2026\, from 8:30 – 10:30 AM CST / 15:30 – 17:30 BST / 16:30 – 18:30 CEST.
URL:https://motio.com/event/ibm-business-analytics-user-group-modernizing-cognos-operations-in-the-era-of-multi-bi-platforms/
ATTACH;FMTTYPE=image/png:https://motio.com/wp-content/uploads/2026/06/2026-NTXUG-Trainer.png
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