Applying data science
to explore and solve problems
Find and solve the problem through Data Science
The Data-Driven Approach
Big data usually represents high volume, high velocity, and high
variety information. Our core competence is
using data science techniques to analyze and retrieve the value from
big data. We employ a five stage
process to develop our products (smart IoT applications) and also
provide customized IoT technology solution
and big data research for helping our clients solve their
The data scientists at Taiwan Bigdata Inc. will collaborate with the domain experts (aka your team)
to analyze the problem context and identify the potential influential variables needed to explain
Our data engineers help to collect the data from the problem context by using subjective and/or
objective measurement methods.
We apply scientific techniques to analyze the collected data
and retrieve valuable information from
4.Algorithm and model
We develop high reliability and repeatable precision
algorithm/models to interpret the problem, and
even to predict the future state of the problem.
We develop custom data visualization solutions, to help you
easily to understand patterns in your
data. The visualized data also helps your team to monitor
and control the problem context
Artificial Intelligence Engineering
The goal of Taiwan Big Data’s artificial intelligence
engineering team is to help equip machines with
human capabilities in order to assist in, and even to replace,
human tasks. Our artificial intelligence
team focuses on developing machines with three levels of human
ability -- Sensation, Comprehension, and
Our hardware and firmware engineers are experienced in
implementing many kinds of data sensors
(sound, light, visual, smell, vibration, temperature,
humidity et al.,) to help AI equipped
machines be aware of the situational context, like a
human in a data-driven approach.
Our data scientists apply both deductive and inductive
reasoning algorithms to teach the
machines to retrieve useful information from collected
A well-trained machine will be very stable and efficient
for processing the man-given algorithms
in performing decision making and future projection
tasks. A machine that is designed with
self-learning mechanisms will also learn things by
themselves from the problem context, and help
itself to upgrade it's abilities automatically.
Our Customized Services
Taiwan Bigdata specializing in Internet Technology and Data
Science domain's research and development, and we provide
different solutions to help our client to solve any problems
through Big Data integration.
Customized data science
solutions support / consultancy
We provide experienced scientists and data engineers
to consult with clients, employing
applied data-driven processes and methods in order
to solve our clients’ domain problems.
Cloud data analysis
system provisioning service
Our cloud server architects have more than ten years
of experience in dealing with
large-scale and worldwide distribution internet
service. We can provision cloud computing
servers for clients and configure/ stand up data
analysis systems for clients on those
Customized web platform
and mobile application development
We also design and develop web platforms as well as
mobile Apps for our clients according to
their custom requirements and their business goals.
and IoT devices development
We collaborate with international-level hardware and
firmware technical partners to help our
clients in developing sensor-based products,
artificial intelligence systems, as well as
O2O(online-to-offline) cross platform products.
Data science is a cross-disciplinary research area. To better solve
a problem requires not only data science
techniques but also background domain knowledge. Our team is already
experienced in developing applications
in the following fields.
Sample Work: We’ve developed a cloud-based IoT system to
sense the physical status of a diaper
attached to a wearer, and predict the timing to replace
the diaper in order to prevent diaper
rash. The system can notify care-givers (parents or
nurses) to let them know the best timing for
changing a wet diaper.
Sample Work: We implemented a fitness/health mobile
application that connects with a wearable
device to support people's weight-management activities.
The application also applies both
social-network and gamification principles for enhancing
the motivation of people in doing such
weight management activities, for example, allowing a
user to easily post that .
Sample Work: We are currently developing a mobile
application that collects and analyzes
investor's trading behaviors in the real stock market.
The system will learn how to perform
trading strategy planning, decision-making, and
investment actions by analyzing the behaviors of
high-performance investors. The ultimate goal of the
system will be to consider various
variables simultaneously in a dynamic investment
environment and become an agent to provide
automatic trading services to regular people.
Sample Work: A system that provides a distributed
framework to collect customers' branding
preferences and product requirements for their
lifestyle from both online world and physical
world data. By analyzing customers preferences for
content presentation format, their
time and their current devices, the recommendation
algorithm will create a
convincing advertisement and broadcast it to the
customer, dramatically improving ad
No matter what the domain your problem resides in, our data scientists will collaborate with
your team to solve your problem based on your domain knowledge. Please contact us and let us
know how we can help you.