IDC is expecting data to grow 61% yearly to reach 175 zettabytes worldwide in 2025. While many organizations recognize the opportunity this explosion of data brings, most are not ready for the data ingestion and preparation demands needed to transform their businesses.

With this, there needs to be a paradigm shift in how data is managed and accessed to drive AI application development and achieve competitive advantages. This involves self-learning, automated data management powered by AI as well as tools enabling AI development initiatives within the data management architecture.

Watch the ET Unwired Session and hear from our experts as they discuss the concept of an AI database, and how data management with embedded AI capabilities enables:

• Operational efficiency with autonomous database capabilities and machine learning query optimization
• Systematic innovation that allows for AI models to be deployed via natural language querying and SQL
• Improved data science with data virtualization, sampling de-biasing, and data cleansing

Mike Gualtieri
Vice President, Principal Analyst
Forrester

Sam Lightstone
CTO – AI Strategy, IBM Master Inventor
IBM