As organizations expand their use of AI and machine learning, ensuring that data is AI-ready is more critical than ever. High-quality, well-integrated data fuels better AI models, driving innovation, efficiency, and smarter decision-making.
TDWI research shows that organizations are increasingly working with diverse data types, including text and images, yet only 12% trust the quality of both their structured and unstructured data. With the rise of generative AI, businesses must unify, prepare, and govern their data effectively to stay ahead.
Join TDWI’s September Virtual Summit to discover key strategies for preparing, managing, and governing data to maximize AI’s full potential.
Register for Free and Make Your Data AI-Ready
What You’ll Gain:
- 🚀 Proven Strategies – Learn how to unify, optimize, and govern diverse data for AI applications.
- 💡 Real-World Insights – See how leading organizations are preparing data to power AI and analytics.
- 🎯 Data Integration Best Practices – Understand how to streamline structured and unstructured data into AI-ready formats.
- 🔑 Governance and Security Frameworks – Ensure compliance, privacy, and trust in AI-driven initiatives.
- 🛡️ Optimized AI Performance – Build high-quality, enriched data sets that enhance AI model accuracy and insights.
Key topics will include:
- Unifying Data for AI – Strategies to integrate structured and unstructured data for AI-driven analytics.
- Optimizing Data Quality – Ensuring clean, accurate, and reliable data for effective AI model training.
- Data Governance and Compliance – Protecting sensitive data while maintaining AI transparency and security.
- Data Pipelines and Automation – Using data fabric, virtualization, and pipeline solutions to streamline AI readiness.
- Enriching Data for AI – Leveraging metadata and multi-source data integration to improve AI insights.