As organizations become better at managing and using a wider range of data, they will increasingly adopt and leverage AI. According to Rob Thomas, general manager of data and artificial intelligence at IBM, it is impossible for an organization to have effective artificial intelligence without a strong IA (information architecture). One of the pillars of any IA is ai database open source management.
In this new data age, databases are no longer considered traditional systems of record or data storage. These days, expectations are higher. Databases must be smarter. They should understand what is being searched for and find the most relevant information while using the most optimal way to locate data. As organizations try to become more agile, they want a faster, easier way to conduct analytics across these hybrid data stores without costly and time-consuming copying, copying, converting or moving data. That is, no more extracting, transforming, and loading data (ETL). They must also be able to self-manage and self-heal, reducing maintenance overhead.
In other words, what we need is an AI-infused database.

That's the vision for IBM Db2; to be the AI database that can help power today's cognitive applications. Built on the Db2 Common SQL Engine, IBM Hybrid Data Management (HDM) provides a platform to manage all data types from all sources and targets.
Thousands of organizations rely on IBM Hybrid Data Management and Db2, the leader in Online Transaction Processing (OLTP), Online Analytical Processing (OLAP) and Big Data, for its high reliability, resiliency, security and more Run mission-critical applications. With this new vision, Db2, a core component of the hybrid data management platform, will also help customers accelerate AI application development while automating parts of data management.