Artificial Intelligence & Machine Learning
As we generate more data and put that data into motion , intelligent infrastructure will be a crucial part of keeping it flowing smoothly . AI and ML will be needed to monitor data , classify , sort and tag it in microseconds , and route it according to priority .
In many cases , AI will be handing off data to another AI . As organizations use more AI to augment and supplement decision making , AI will ultimately become the dominant user profile on the infrastructure . The next generation of infrastructure should be built for AI first , and then adapted for humans , rather than the other way around .
“ With data being a fundamental component , merely having access to it is just the beginning . The ability to derive actionable insights and intelligence will also require the data to be clean and useful .
To address the challenges faced with disparate sources of data with varying permissions and inconsistent formats , a modern data pipeline is crucial . From data ingestion to classification , transformation , aggregation , and beyond , an intelligent data pipeline eliminates bottlenecks and keeps information flowing and organized .
Imagine a water system that takes water from different sources and delivers clean drinkable water to the end customers – hopefully without a leaky rusty pipe ! “
Theodora Lau
Founder Unconventional Ventures
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