Our Data Intelligence Technologies
create the path
from big data to knowledge and decisions
Our data intelligence technologies explore various main aspects of data intelligence: Deep Learning, Machine Learning, Computational Intelligence, Data Mining and Information Retrieval, and provide fast, effective, unique and customizable solutions for your business. We are able to provide insight into the past through data aggregation and mining (what has happened?), forecast the future by developing mathematical models (what could happen?), and advice on decision making via optimization algorithms and simulation tools (what should you do?). In addition, we have the capacity of building online user-friendly tools for end-users to interact with the data intelligence platform and efficient incremental learning framework for dealing with real-time data and frequent data updates. Please contact our data intelligence experts for more details.
Data Intelligence Applications.
Perfect for any business.
Resource allocation
Optimizing resource assignment and allocation (e.g., human resources, equipment, space, and venues) with various constraints including spatio-temporal, sequential, capacity, cost and operational constraints.
Customer preference mining
Understanding your customers' preferences and behaviours through various influences, including geographical, temporal, social, sequential, categorical influences, and textual comments, of your products and services on them to recommend products or services for them, design more cost-effective marketing plans and develope better product or service strategies.
Operational planning
Optimizing the workflow and operation schedule through AI technologies to maximize the productivity and cost-effectiveness of your company. Monitoring the work progress and providing real-time alerts and suggestions.
Features
State-of-the-art technologies
Explore the state-of-the-art data intelligence technologies from recent research findings
Cost-effective
Develop data intelligence solutions from small to big based on the budget
Customization
Design data intelligence algortihms to fit your unique data and short- and long-term objectives
Holistic solutions
Provide all supporting services for our data intelligence solutions, e.g., cloud hosting, web applications, mobile applications, systme integration, and data migration.
Empowering your growth with Flowering Tree Tech Technologies
About Us
Ted Chow - Cofounder and Director
Dr. Chow is the former tenured Associate Professor in the Department of Computer Science at City University of Hong Kong. His research team focuses on applied machine learning, data mining, computational intelligence, spatio-temporal data management, and data privacy. Dr. Chow has an impressive academic portfolio, having published over 100 research journals, conference papers, and book chapters, amassing more than 8,500 citations.
Throughout his career, Dr. Chow has successfully managed approximately 20 funded projects, including four supported by the Hong Kong Innovation and Technology Fund (ITF). His significant contributions to the field have been recognized with numerous prestigious awards. These include the highly esteemed 10-Year Best Paper Award at VLDB 2016, Best Paper Awards at IEEE DataCom 2019, IEEE DSS 2019, ICA3PP 2015, and MDM 2009. Additionally, he was honored with the Teaching Excellence Award from City University of Hong Kong in 2013.
Dr. Chow earned his Ph.D. and M.Sc. in Computer Science from the University of Minnesota-Twin Cities, USA, in 2008 and 2010, respectively. During his doctoral studies, he gained valuable experience as a research intern at the IBM T. J. Watson Research Laboratory.
Christine Liu - Cofounder and Director
Christine has over a decade of experience in the finance industry. Most recently, she served as the Associate Director in the Financial Institutions department at Standard Chartered Bank, where she worked as a credit analyst for the funds sector, including hedge funds, private equity funds, and mutual funds. Prior to her tenure at Standard Chartered, Christine was a hedge fund credit officer at BNP Paribas. She also gained significant experience working as a fund of hedge funds risk analyst at a prestigious family office in Asia.
Christine holds an M.Sc. in Finance and Management with distinction from the University of Exeter, UK, which she earned in 2006. Additionally, she is a Certified Financial Risk Manager (FRM) accredited by the Global Association of Risk Professionals (GARP).