Moving From Good BI to Better BI to Even Better AI - ERP Spain.com - España y América Latina

Many organizations believe that they need to have all their data ducks lined up before they attempt AI analytics. They believe they need to have conquered traditional or BI analytics first, including data catalogs, data lineage, master data management, big data, etc. before planning for AI. While this conventional thinking has merits, it results in high opportunity costs and carries risks. Join Jerry Hartanto, AI Strategist at Dataiku, to debunk this common assumption and uncover how organizations can establish capabilities for traditional analytics and experiment with AI analytics, leveraging analytics capabilities frameworks and tools that excel for both traditional and AI analytics.