2016 Analytics Predictive Analytics 
Smart Data Collective
SEPTEMBER 7, 2021
Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Wondering why data analytics tools stand out among management, payment processing software and other retail software solutions ? This global coffee brand has increased its revenue by 26% from 2016 to 2019.
Smart Data Collective
APRIL 20, 2019
Data Floq made this point clear in a post they made in 2016. Using predictive analytics to continually update business cards. Predictive analytics is one of the most useful advances in big data. Predictive analytics technology can be particularly useful in developing new business cards.
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Smart Data Collective
MAY 21, 2019
In 2016, cyber-attacks cost the United States economy between $57 billion and $109 billion. There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms.
Data Science Blog
NOVEMBER 15, 2023
The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer. In essence, a graph analysis that displays the process flow as a flow chart. Click to enlarge!
Smart Data Collective
JULY 8, 2019
between 2016 and 2017. New predictive analytics and machine learning technology should address these concerns. Accident data provides insight and valuable information that can be used to help improve safety in the future. The reporting of accidents is crucial in maintaining the collection of this data. increased by 5.3%
Ocean Protocol
SEPTEMBER 29, 2023
AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.
Data Science Blog
FEBRUARY 23, 2023
Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below.
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