Is Your Finance Data AI-Ready? Why Messy Data is Costing You Millions
The finance industry stands at a critical juncture where data quality directly impacts organizational performance and strategic decision-making. With AI emerging as a powerful tool, companies recognize that unstructured and messy data can potentially cost millions in missed opportunities. In this cutting-edge webinar, industry experts Igor Ikonnikov, Advisory Fellow, Info-Tech Research Group, Derek Villeneuve, Director, Enterprise Sales, Acterys and Kevin Van Kirk, Director of Value Growth EMEA, Acterys explore the transformative potential of artificial intelligence in financial data management.
This webinar underscores the urgent need for finance professionals to understand how proper data governance, structured information management, and strategic AI implementation can revolutionize financial operations and predictive analytics. Speakers emphasize that AI’s effectiveness is fundamentally dependent on high-quality, well-organized data, and successful AI integration requires a holistic approach involving collaboration between business stakeholders and IT professionals. Organizations must invest in data structuring, implement robust governance frameworks, and foster a culture of continuous learning and technological adaptation to leverage AI’s full potential in financial planning and analysis.
Highlights:
- AI requires high-quality, structured data to deliver meaningful insights
- Proper data governance is crucial for effective AI implementation
- Messy data can cost organizations significant financial opportunities
- AI can transform financial forecasting, budgeting, and strategic planning
- Cultural shift and upskilling are essential for successful AI adoption
- Real-time, AI-driven analytics can provide unprecedented business intelligence
- Structured data enables more accurate predictive and prescriptive AI models
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