2019 Data-driven Optimization Uncertainty 
The Unofficial Google Data Science Blog
APRIL 23, 2024
If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Crucially, it takes into account the uncertainty inherent in our experiments.
Andrew White
MAY 4, 2020
COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. With data comes quality issues.
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Smart Data Collective
SEPTEMBER 7, 2021
Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers. Big data is a not new concept, and it has been around for a while. Source: Statista.
IBM Big Data Hub
FEBRUARY 20, 2024
According to the Geophysical Fluid Dynamics Laboratory of the US’s National Oceanic and Atmospheric Association (NOAA), “Climate models reduce the uncertainty of climate change impacts, which aids in adaptation.” Red Cross Red Crescent Climate Centre, 2019. millimeters (0.1 inches) per year to 3.4 millimeters (0.13
O'Reilly on Data
MARCH 31, 2020
AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty.
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model.
DataRobot Blog
MARCH 17, 2022
Businesses today operate under greater pressure and greater uncertainty than ever before. DataRobot For the AI-driven Business: Empower Your Business with No-Code Solutions that Deliver Timely, Continuous, and Trusted Insights from more of Your Data. Without data, you can’t have insights or models in production.
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