DataKitchen
JUNE 19, 2023
The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges.
Smart Data Collective
JULY 4, 2022
Big data has led to some major changes in the field of education. You should pay close attention to developments in big data in academia. How is Big Data Affecting the State of Education? Big data has been especially influential in the field of education. Big Data is Changing the Future of Education.
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O'Reilly on Data
FEBRUARY 13, 2024
The more important claim is that training a model on copyrighted content is infringement, whether or not the model is capable of reproducing that training data in its output. This settlement will have important consequences: it will set a de-facto price on training data. And that price will no doubt be high.
Juice Analytics
NOVEMBER 27, 2024
To receive helpful and meaningful data, sometimes we have to give it first. In this season of giving, we wanted share some of our favorite ideas for sharing the data love and encourage more effective data storytelling. For the Data Enthusiast We all have people on our list that want to improve their data skills.
O'Reilly on Data
NOVEMBER 14, 2023
I wouldn’t mistake anything I’ve seen for the work of a great (or even good) poet, but companies like Hallmark provide a market for millions of lines of verse, and that market is probably more lucrative than the market for poets who publish in “ little magazines.” There’s an almost unending appetite for “industrial” music.
Smart Data Collective
APRIL 1, 2021
The technological advancements have left no excuse for brands to justify the lack of customer data collection. This data, in return, enables them to carve out specialized marketing campaigns targeting the right audience. Now marketers can capture data at almost every stage of the buying decision.
CIO Business Intelligence
JANUARY 22, 2024
As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.
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