Contextual Data Experimentation Modeling 
O'Reilly on Data
OCTOBER 19, 2021
Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code. Not only is data larger, but models—deep learning models in particular—are much larger than before.
CIO Business Intelligence
NOVEMBER 4, 2022
The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. In other cases, it’s more of a standard computational requirement and we help them provide the data in the right formats.
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CIO Business Intelligence
MAY 20, 2024
Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.
CIO Business Intelligence
MARCH 6, 2025
But Hinchcliffe believes that Salesforce has an edge over rivals as it is leveraging its deep CRM expertise, its customers sales, service, and marketing data, and business logic integration to drive differentiation.
CIO Business Intelligence
MAY 6, 2025
Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.
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