CIO
FEBRUARY 10, 2023
Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.
CIO
SEPTEMBER 19, 2023
To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as part of its Fueling the AI Transformation report. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics
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Smart Data Collective
DECEMBER 5, 2019
In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The airline industry has started relying more on machine learning technology as new challenges threaten to cripple its business. Machine Learning is the Key to Saving the Ailing Airline Industry.
mention
MARCH 8, 2024
As businesses increasingly find their success intertwined with their online image, reputation score have become a pivotal metric that can make or break a brand. Understanding Reputation Scores In the digital age, a business’s reputation is encapsulated in a numerical representation known as a reputation score.
Datapine Blog
NOVEMBER 27, 2019
Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.
ArchIntel
JUNE 16, 2021
Widebodied airliners, which previously enjoyed great demand because of hefty passenger traffic, saw a 54 percent drop in deliveries. Executive Profile: David Missal, Senior Business Development and Strategy Manager at Ball Aerospace. The industry veteran is a graduate of political science and business from the University of Rochester.
Domo
NOVEMBER 17, 2021
Now more than ever, business decisions carry a lot of weight. They must be faster, more accurate, automated, and cognizant of the entirety of your business intelligence. In order to make the most of your data and ensure you are taking actions that will benefit your business, you must evolve your decision-making processes.
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