This book22.9 x 15.2 cm9.02 x 5.98 in
Ship to
New Zealand
Select your location
Shipping costs will be calculated based on this address throughout the site.
Shipping costs will be calculated based on this address throughout the site.
Select your country
Americas
Argentina
Brazil
Canada
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Mexico
Peru
U.S.A.
Uruguay
Europe
Austria
Belgium
Croatia
Czech Republic
Denmark
Finland
France
Germany
Greece
Hungary
Ireland
Italy
Latvia
Malta
Netherlands
Norway
Poland
Portugal
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
United Kingdom
Rest of the world
Beyond the Noise. How Epoca International and the University of Florida Used Artificial Intelligence to See Tomorrow's Consumer Demand
Liangfei Qiu;Qili Wang;Zhechao Yang;Yi Su;Hsing Kenneth Cheng
Beyond the Noise. How Epoca International and the University of Florida Used Artificial Intelligence to See Tomorrow's Consumer Demand
Liangfei Qiu;Qili Wang;Zhechao Yang;Yi Su;Hsing Kenneth Cheng (Author) · Warrington Press · Paperback
Beyond the Noise. How Epoca International and the University of Florida Used Artificial Intelligence to See Tomorrow's Consumer Demand
Liangfei Qiu;Qili Wang;Zhechao Yang;Yi Su;Hsing Kenneth Cheng
The University of Florida (UF) and Epoca International jointly transformed the flood of everyday social-media posts into a precise, AI-driven demand-forecasting engine. UF leveraged its HiPerGator supercomputer and interdisciplinary faculty to build large-scale models that sifted billions of unprompted consumer conversations. Epoca supplied proprietary product data, industry expertise, and its rapid-product-development cycle. Together they demonstrated how advanced analytics can shift a company from reactive to proactive market sensing, shortening the product-to-shelf timeline while maintaining inventory efficiency. The partnership exemplifies UF’s broader mission of an AI-University that partners with industry to convert cutting-edge computing into real-world competitive advantage.Learning Objectives
Explain how advanced high-performance computing and AI can transform billions of social-media signals into demand-forecasting models. Explain the process by which AI‑driven multimodal learning distinguishes genuine purchase‑triggering content from background noise in massive digital conversations. Analyze how early detection of consumer intent empowers a company to align manufacturing decisions before traditional sales data surface. Evaluate the strategic value of university-industry partnerships in translating advanced AI research infrastructure into competitive business advantages.Appropriate Courses
AI for business, data-driven market forecasting, marketing analytics and predictive modeling, strategic operations and digital transformation, operations and supply-chain management, interdisciplinary research collaboration
Do you have a question about the book? Login to be able to add your own question.