To trust your reporting, analytics, and ML outcomes, you must have trustworthy real-time access to all the data required for confident decision-making.

 In this session, we explore strategies for breaking data out of silos and getting it into the cloud. We’ll then look at how we help businesses to get their advanced analytics and AI initiatives off to a fast, successful start with reliable, complete, and fit-for-purpose data - with context.

 Key points:

• How to break down data silos and move data to the cloud in real-time.
• Impacts of bad data on AI: considerations and practical solutions to set you up for AI-success.
• How to understand and trust your data for better data-driven decisions and regulatory compliance (e.g.: EU AI Act).
• How to cleanse and enrich your data to unlock insights, build better customer relationships, and avoid missteps caused by inaccurate, incomplete data.
• Proactively uncover data anomalies and take action before they become costly downstream issues.
• Customer stories
• Technical Demo