O'Reilly on Data
JULY 28, 2020
Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.
Rocket-Powered Data Science
JULY 7, 2019
Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Examples: (1) Automated manufacturing assembly line. (2) Industry 4.0 Examples: (1) Wearable health devices (Fitbit). (2)
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CIO Business Intelligence
APRIL 4, 2022
The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. It also taught the packing materials manufacturer how to use IT to create an adaptive organization flexible enough to respond to crises and create solutions. Employee crowdsourcing can yield breakthrough ideas.
CIO Business Intelligence
OCTOBER 18, 2023
Gen AI boom in the making Many early and established forays into generative AI are being developed on the AI platforms of cloud leaders Microsoft, Google, and Amazon, reportedly with numerous guardrails and governance measures in place to contain unrestricted exploration.
DataRobot Blog
JULY 28, 2022
For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc., The customer’s challenge was to detect predictive signs in the manufacturing process of a certain material. which can lead to large prediction errors.
IBM Big Data Hub
APRIL 18, 2024
While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. What are the types of AGI?
Dataiku
APRIL 22, 2022
The research confirmed that, even on common AI models, the process can emit more than 626,000 pounds of carbon dioxide equivalent — nearly five times the lifetime emissions of the average American car (and that includes the manufacturing of the car itself).
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