AI Factories: Episode 8 – AI Factories as a Business Model
Iansiti and Lakhani emphasize that the success of an AI factory depends on more than just technology; it also requires…
FAQ of ML: Non-parametric and Parametric Models
The term "non-parametric" can be a bit misleading at first glance: it doesn't mean that these models have no parameters…
FAQ of ML: What are the main differences between K Nearest Neighbours (KNN) and K-Means Clustering?
K Nearest Neighbours (KNN) and K-Means Clustering are both fundamental algorithms in machine learning, but they serve different purposes and…
AI Factories: Episode 7 – Software, Connectivity, and Infrastructure in AI Factories
The concepts of software, connectivity, and infrastructure in the context of AI factories (often referred to as AI data centers…
AI Factories: Episode 6 – The Experimentation Platform
In 2022, Google ran over 800,000 experiments that resulted in more than 4,000 improvements to Search. Spotify is running thousands…
AI Factories: Episode 5 – Algorithm Development
Algorithm development in AI factories is a critical, iterative process focused on creating and refining algorithms that are central to…
AI Factories: Episode 4 – Data Pipelines
A data pipeline is a series of data processing steps where data is collected from various sources, cleaned, transformed consistently…
AI Factories: Episode 3 – The Components of AI Factories
In the digital age, businesses are continually seeking strategies to stay competitive and innovative. A compelling approach to integrating Artificial…
AI Factories: Episode 2 – Virtuous Cycle in AI Factories
"AI factory creates a virtuous cycle between user engagement, data collection, algorithm design, prediction, and improvement.” Iansiti & Lakhani (2020)…
AI Factories: Episode 1 – So, what exactly is “AI Factories” or “AI Factory”? 🌟
"In the future, every company, every industry, will have AI factories" said by Nvidia CEO Jensen Huang. But what does…