Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
- How trusted, well managed data is critical for AI success
- Barriers traditional approaches place in accessing good data
- How new AI driven approaches to data enablement can help you deliver AI success