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How Data Fabrics Contextualize AI Data
Data is the core of a good AI solution and, while data is plentiful in enterprise and industrial settings, accessing and utilizing that data for AI training isn’t so easy. In industry, data sources are often fragmented and, even if they can be easily accessed, lack the critical context needed to support robust AI usage. This is where data fabrics shine, offering a single, unified way of accessing and contextualizing all types of enterprise data.
In this episode, host Spencer Acain is joined by Tobias Malbretcht, Head of Product Management, Data & AI at Siemens Digital Industries to examine the importance of data fabrics in the expanding role of AI in industry.
In the episode you’ll learn about:
(00:00) Introduction
(02:47) What is RapidMiner?
(05:14) The benefits of a data fabric for AI
(08:06) Bringing context to AI training data
(11:36) How data is connected to RapidMiner
About the voices:
Tobias Malbretcht is the Head of Product Management for Data and AI at Siemens Digital Industries leading development for the RapidMiner AI Platform.
Spencer Acain Is a technical marketing writer for AI thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.
View all episodes
By SiemensData is the core of a good AI solution and, while data is plentiful in enterprise and industrial settings, accessing and utilizing that data for AI training isn’t so easy. In industry, data sources are often fragmented and, even if they can be easily accessed, lack the critical context needed to support robust AI usage. This is where data fabrics shine, offering a single, unified way of accessing and contextualizing all types of enterprise data.
In this episode, host Spencer Acain is joined by Tobias Malbretcht, Head of Product Management, Data & AI at Siemens Digital Industries to examine the importance of data fabrics in the expanding role of AI in industry.
In the episode you’ll learn about:
(00:00) Introduction
(02:47) What is RapidMiner?
(05:14) The benefits of a data fabric for AI
(08:06) Bringing context to AI training data
(11:36) How data is connected to RapidMiner
About the voices:
Tobias Malbretcht is the Head of Product Management for Data and AI at Siemens Digital Industries leading development for the RapidMiner AI Platform.
Spencer Acain Is a technical marketing writer for AI thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.