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Overview of the event

Visualization is both an art and a science, in general terms it describes any effort to help people understand the significance of data by placing it in a visual context. A primary goal of data Visualization, Machine Learning and Deep Learning is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

We intend to give a platform for users across all the various domains of data analysis to share their experiences, techniques, opportunities, challenges and exciting possibilities as well as highlight the most triumphs and potential pitfalls

Visualization, Machine Learning and Deep Learning Conference in Hong Kong will bring together industry professionals and thought leaders from the field of Visualization and Data Analytics. It will help you in understanding and implementing data visualization in your business/for your client. It will also provide an excellent opportunity to interact and network with some of the top minds.

Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Conference Schedule - 1

Visualization Day, Hong Kong (05 September 2019)
X Topic Abstract

Visualization techniques to create insights into performance.
Visualizing organizations
Understanding Diversity
Reviewing performance development over time

Speaker Profile

Nicole Klaassen, founder and director of NK Solutions HK Ltd. has multiple years of experience in designing data analytics and visualizations. She has worked with various departments (Finance, HR, Sales, Marketing and Operations) in multiple industries to visualize data and generate insights.
Prior to starting NK Solutions HK, Nicole has had several roles in the corporate IT space covering head of IS, financial planning, information security and customer service. In her global and regional roles she introduced KPI dashboards to visualize performance focusing on Cost, People data, Service Management, Security and ROI.
She is passionate about data visualization, insights and process optimization. Holder of an MBA and degrees in Public Business Administration and IT Auditing with Information Security (CISSP) and Project Management (PMP) certifications.

X Topic Abstract

Nowadays, most enterprises talk about and even apply AI and machine learning to their business more and more. However, management and decision makers cannot understand how the results are made by AI and machine learning, and thus could not justify if the results are correct or not.
This section is to explain how we can visualize the results from AI and Machine Learning, and thus make correct decisions.

Speaker Profile

CEO & Chief Data Scientist -- Global AI Association
Chief Data Scientist & Founding Board Member -- Oxford Blockchain Foundation
Peter is a leading expert in Artificial Intelligence, Big Data, Financial Engineering and provide consultancy to worldwide financial institutes and Fortune 500.
In the past 10 years, he helped to develop large-scale trading system in Finance, IT for top-tier investment banks and financial institutes, including Morgan Stanley, JP Morgan Chase, Royal Bank of Scotland etc.
In last few years, he has also helped enterprises and start-ups to develop AI & Big Data systems in Video Analytics, Speech-to-Text, Natural Language Processing, Blockchain, Facial Recognition, Voice Recognition, DNA analysis, and Manufacturing Automation etc. He is also a Founding Board Member of OXBC (Oxford Blockchain Foundation).
Recently, he has provided legal, business strategy and technical consultation service to build Real Estate STO in UK and APAC.

Peter IP received various Master’s degree and Professional Certificates:
• Graduate-Level Financial Engineering Program – Stanford University (USA)
• Blockchain Strategy Certificate -- Oxford Said Business School
• Cambridge Innovation Program – Cambridge Judge Business School
• Certificate in FinTech – MIT (USA)
• PhD Candidate in Computer Science
• Certificate in Business Analytics – Pennsylvania University (Wharton)
• Certificate in PyimageSearch (Image Processing) (USA)
• MSc in Biomedical Engineering – The Chinese University of HK
• MSc in Statistics --- The University of Hong Kong

X Topic Abstract

The common reading format in early data of computers is TEXT and LINES. Still, many critical decisions were made in those coarse presentation. High Definition display, Visual Reality google and Engineering Helmet bearing computer graphics are being rolled out aggressively. Here, the physiological architecture is a critical design element in making data visualization in an effective manner for non office application.

Conference Schedule - 2

Machine learning and Deep Learning Day, Hong Kong (06th September, 2019)

Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship
Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at,

Our Sponsors

Media Partners


Digital Marketing Partner

Marketing Partner

Promotional & Media Partners


Our Past Sponsors

Media Partner


Our Speakers

Nicole Klaasse

founder and director

NK Solutions HK Ltd

Peter IP

Chief Data Scientist

Oxford Blockchain Foundation

Ir Dr. Daniel Ng

Director,Controller, Visiting lecturer/examiner, Academic Mentor, Forensics & BI machine learn


Speaker name


Company name

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

HKD 3000

Till June 16
Group of three or more(Standard)

HKD 3300

Till September 05
Individual(Early Bird)

HKD 4000

Till August 05

HKD 5000

Till September 05

To Register via Eventbrite

Our Testimonial


Who can attend Visualization, Machine Learning and Deep Learning Day in Hong Kong?

CEOs, NGOs, developers, and anyone passionate about an accessible, game-changing technologies, modern business, including executives, inventors, strategies, marketers, visionaries, and creative minds from technology, business, and design, technical leads, architects, engineering directors, and project managers who influence innovation in their teams,
All who want to learn from tooling to skilling and from strategies to fundamental values.

And also, If your responsibilities include any of the below, you must attend:
• Predictive Analytics - Business Intelligence
• Data Visualization - Insight
• Data Science - Data Mining
• Software Engineering - Computer Science
• Data Journalism - Storytelling
• UX/UI Design - Graphic Design

Why to attend Visualization, Machine Learning and Deep Learning Day in Hong Kong?

From tooling to skilling and from strategies to fundamental values what needs to change and how? What are solutions and services available in market which I can leverage? Big Visualization Day 2017 is an attempt to seek and share answers to these basic questions.

What will you learn about?

Learn latest techniques and skills required for Data Science & Analytics from industry stalwarts themselves. Latest trends, concepts, processes and tools to understand and acknowledge challenges in Data Analytics emerging technologies. Meet and network with fellow Data Science & Analytics experts from leading companies. Learn how to adapt and adopt these changes quickly and swiftly within a team and also across the enterprise.

Are there any prerequisites to attend this program?


Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.