The road to AI leads through information architecture

Ford drove the first automobile down the streets of Detroit in 1890. It would take another 30 years before the company streamlined production and made cars available to the mass market. The obvious lesson: Sometimes technology has a long gestation period before we can scale it for everyday use. But,… [Read More]

Summary… * Machine-Made


For example, #AI requires machine learning, machine learning requires analytics, and analytics requires the right data and information architecture (#IA).
Viewed separately:Hybrid data management provides a platform to manage all data types across all sources and destinations.
An effective data strategy has to be singular in approach, and that starts with hybrid data management.
An effective data strategy has to be singular in approach, and that starts with hybrid data management.
This is because building #AI systems involves more than learning how to perform a specific task from data — it requires an infrastructure.

Opinion… * Man-Made


Artificial Intelligence (#AI) requires Machine Learning (#ML), Machine Learning requires Analytics, and Analytics requires the right Data and Information Architecture (#IA). #Trend

Source: Venturebeat