Applications, Solutions and Innovations

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.


State-of-the-art technologies

Explore the state-of-the-art data intelligence technologies from recent research findings


Develop data intelligence solutions from small to big based on the budget


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 Future Data Intelligence Technologies

About Us

Ted Chow - Cofounder and Director

Dr. Chow is currently the Associate Professor in the Department of Computer Science at City University of Hong Kong. The research areas of his research team are mainly in applied machine learning, data mining, computational intelligence, spatio-temporal data management, and data privacy. He has published over 80 research journals, conference papers and book chapters with 5,000+ citations. He managed about 20 funded projects including two projects supported by Hong Kong Innovation and Technology Fund (ITF). He received the highly prestigious 10-Year Best Paper Award in VLDB 2016, the best paper awards in ICA3PP 2015 and MDM 2009, and the Teaching Excellence Award from City University of Hong Kong in 2013. He received his Ph.D. and M.Sc. in Computer Science from University of Minnesota-Twin Cities, USA in 2008 and 2010, respectively. He has worked as a research intern in the IBM T. J. Watson Research Laboratory.

Christine Liu - Cofounder and Director

Christine has more than 10 years of experience in the finance industry. Her last role was the Associate Director of Standard Chartered Bank Financial Institutions department as a credit analyst for funds sector, including hedge funds, private equity funds, mutual funds. Prior to Standard Chartered, she was a hedge fund credit officer in BNP Paribas, and also worked in a prestigious Asia family office as a fund of hedge funds risk analyst. Christine received her M.Sc. in Finance and Management with distinction from the University of Exeter, UK in 2006. She is also a Certified Financial Risk Manager (FRM) from the Global Association of Risk Professionals (GARP).


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