PMI Singapore Chapter

Managing Advanced Analytics and AI Projects

Managing Advanced Analytics and AI Projects


Professional Development - Managing Advanced Analytics and AI Projects  

If you are embarking on the exciting journey of embedding advanced analytics and AI into your organisations, you will invariably run into questions of whether to engage a partner, which partners to engage with, and how to deliver projects beyond experiments and proof-of-concepts that scale within the enterprise. This session challenges established thinking on ways to effectively manage and deliver such projects considering the differences between advanced analytics/AI and typical IT projects, and the conditions needed to maximise the value such capabilities can bring to the organisation.

Five Ways Advanced Analytics and AI are evolving:

1) Citizen data scientists;
2) Need for executive education;
3) Changing nature of roles in data science;
4) End-to-end model management;
5) Effects of data science on society.

New to Managing Advanced Analytics and AI Projects? You will learn:

1) How advanced analytics and AI projects are different from IT projects;
2) Ways to structure an advanced analytics/AI project for success;
3) Measurement of project success;
4) Ethical considerations for AI projects.

Additionally, experienced PMs will focus their attention on:

1) Weighing the build-or-buy decision for advanced analytics/AI capabilities;
2) Separating delivery from platform;
3) Understanding value through the lens of open source.

If you have ever wondered about the following, then this is the presentation is definitely for you:

1) What are Advanced Analytics and AI?
2) What are the objectives and output(s) of these projects?
3) What additional skills do I need to learn to manage these projects?
4) What are the risks unique to such projects?

Presentation and Discussion Method:
The session will be delivered by means of a presentation followed by Q&A.

About the Speakers:

Siang Hou Tang  (LinkedIn)
Associate Director, Data Science (Decision Science)
Singapore IT Hub, MSD International GmbH

Siang Hou TangSiang Hou holds a double degree in Economics and Business Management (Organisational Behaviour) from the Singapore Management University.
Prior to joining MSD, she headed up the analytics team in the APAC hub of Publicis Media, applying advanced modelling and analytical techniques to derive customer insights and optimise media investments. Her client roster spanned multiple industries from travel and hospitality, banking, consumer goods, luxury and automotive.
Earlier in her career, Siang Hou led research and data analysis teams at the Economic Development Board (EDB) and Resorts World Sentosa. At the EDB, she also took on key roles in strategy, planning, economic forecasting and business development. At present, as part of the Data Science Team in the Singapore IT Hub, Siang Hou’s main focus is on decision science to generate insights in various aspects of commercial activities, such as marketing effectiveness as well as pricing and opportunity mapping through advanced analytics to drive business value.


Jason Tamara Widjaja (LinkedIn)
Associate Director, Data Science (AI Products)
Singapore IT Hub, MSD International GmbH

JasonWidjajaJason believes in working towards a better world through data. As multi-disciplinary professional, he leads a high performing and quirky data science team in MSD’s Global Data Science Competency. Jason’s team specialises in AI, with competencies in NLP, computer vision, machine learning, automation and AI governance and ethics.
Jason spent half of his career in Australia before relocating back to Singapore in 2016. Since then, he has been active in the local start-up ecosystem, as a co-founder of with his brother Galvin, and a mentor to AI startups in partnership with local venture capital firms in Singapore.
Jason made the Melbourne Business School Dean’s List for his MBA in 2010 and graduated from the same university with a second master's degree in Business Analytics in 2015. He also holds a bachelor's degree in Computing from the National University of Singapore and a first-class honours’ in Business Information Systems and Human Resources Management from Middlesex University.
In his free time, Jason enjoys reading, gaming and giving back by advocating for ethical AI and diversity in tech. He is a contributor to Singapore’s AI Governance Framework and a top writer on Quora, with over 1,000 answers in Data Science, Analytics and Artificial Intelligence.

About MSD

For more than a century, MSD has been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, MSD continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

Event Particulars

Date: Thursday, 5 December 2019

Time: 7pm to 9pm (Singapore) Refreshments & Networking from 6:15pm

Venue: NTUC LearningHub | NTUC Trade Union House | Room 4A & 4B, 4th Floor | 73 Bras Basah Road | Singapore 189556

PDUs: 2 Leadership (where applicable, PMI ID to be included with registration)

Registration deadline: 3 pm SGT the day before (4 Dec 2019) 


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 Disclaimers Registration is final, non-refundable, non-transferrable. By registering to this event, you give permission to PMI Singapore Chapter (SPMI) to contact you with details of how to participate in this event. You will also be included in future communications from SPMI, from which it is easy to unsubscribe by following instructions at the bottom of a mailer.

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Event Properties

Event Date 05-12-2019 6:30 pm
Event End Date 05-12-2019 9:00 pm
Registered 53
Cut off date 05-12-2019 8:00 am
Individual Price from 30 SGD
No. of Strategic PDUs N/A
No. of Technical PDUs N/A
No. of Leadership PDUs 2
Location NTUC LearningHub @ NTUC Trade Union House
We are no longer accepting registration for this event