- Ascertaining the Uncertainties (Fintech & Blockchain) - FREE ADMISSION
NUS Centre for the Arts University Cultural Centre (UCC)
UPDATES: SPECIAL GUEST SPEAKER UNVEILED! Michele Wucker, Author of "The Gray Rhino", #1 English-language bestseller in China "(The Gray Rhino) the book that is shaping China's planning and policy for the future" -- Amazon.com Please note that registration can only be accepted via https://tinyurl.com/ybkvg5a4 . Major upheavals in recent years have amplified the intrinsic risks that come with trading. As the market grows increasingly volatile, how can investors all over the world secure their returns in the unpredictable markets? As quants start growing in popularity again, how should you decide between quants or traditional investment strategies in the face of an uncertain world? Be inspired by our speakers who will bring you all-new perspectives on Fintech, Blockchain and Machine Learning. Keep abreast with the latest developments in Asia and around the world and learn how to navigate the uncertainties abound in the tumultuous financial markets! The talks will be conducted in English with bilingual presentation slides. THE ORGANISER: Zaojiu (造就) Established in 2015, Zaojiu is now China's leading talk producer specialising in Science, Technology and Culture. CO-ORGANISERS: Asia Big Data Association The Asia Big Data Association (ABDA) is a non-profit organisation that aims to foster greater cooperation in big data research and project collaborations in the Asia Pacific region between the industries, government and academia. LinkSure Network Holding Founded in 2013, LinkSure Network is a global innovative mobile internet company specializing in free internet access, content, and location-based services. FEATURED SPEAKERS & TOPICS: Uncertainty in the fourth industrial revolution Michele WUCKER, Author, The Gray Rhino FinTech’s Definition of the New Age of Investment Steen JAKOBSEN, Chief Economist, CIO & CO-Head Of Global Sales Trading SAXO BANK A/S International Business and Asset Allocation Amidst the Market Turmoil YAN Li, Senior Lecturer, Nanyang Business School, Nanyang University of Technology How Can We Achieve Greater Protection Using Big Data? ZHU Wei, Founder, Axinan How Can We Seek Warmth Rationally Amidst the Capital Winter? WANG Junyi, Founder, ACGTU Capital Business Innovation in an Unpredictable World TIAN Hongfei, Founding Partner, iVision Ventures Has Data Triumphed Over Us, or Have We Managed to Get a Hold Over Data? JIANG Kai, CEO and CIO, China iFund Asset Management Co.,Ltd Registration is free and accepted on a first-come-first-served basis. More information and registration at https://tinyurl.com/ybkvg5a4 . Please note that registration can only be accepted via https://tinyurl.com/ybkvg5a4 .
- Ascertaining the Uncertainties (Fintech & Blockchain)
- Big Data in Today’s Businesses
With the ubiquity of Big Data in today's world, almost every business is relying on data to help them understand their customers better and surpass their competitors in value creation for their customers. For its third Meetup, the Asia Big Data Association invites experts from three different industries to talk about the application of Big Data in their lines of work, as well as the challenges faced and trends moving forward. Speakers: 1. Dr CAO Hong, Head of Data Science, Ernst & Young Advisory Pte Ltd Hong CAO is the head of data science for Ernst & Young Advisory Pte Ltd (EY Advisory). He is responsible to set up and manage EY’s ASEAN data science team, and lead the data science projects through the pipeline starting from presales, scoping to delivery. He is also a data science evangelist and advises the higher management on the current data science technologies and the undertaken strategy. He has published about 50 scientific publications in top-tier venues of machine learning, data mining and signal processing. His work in data-driven image forensics received the best paper award in IWDW 2010 and honorary mention in ISCAS 2010. He is also winner of multiple international data science competitions, such as GE Flight Quest in 2013 and OPPORTUNITY activity recognition challenge in 2011. He currently chairs the IEEE signal processing society, Singapore chapter. Topic : Deliver Value with Data Science Data science is an interdisciplinary field of scientific methods, data analysis & modelling, and business processes to extract valuable information, knowledge or insights from data in various forms for achieving data-driven intelligence. In today’s consulting world, data science services have to be value-focused and integrated with business domain in order to be successful. In this talk, I will first overview the current data analytics landscape and a few of its functional areas. I will also touch on several data science use cases in different domains, such as skill analysis and flight arrival prediction, to highlight a hybrid approach. At last, I will summarize several common challenges and pitfalls that data scientists shall be conscious and mindful to address in their practice. 2. Dr LIN Xin, Head, Analytics, Media Strategy & Analytics, Singapore Press Holdings Dr Lin obtained his first degree in Chemical Physics and Electronic Engineering at the University of Science and Technology of China and obtained his PhD in Computational Physics at the National University of Singapore. He had conducted academic research in large scale simulation and statistical method for computational Biology at the Nanyang Technological University, and was also Senior Data Scientist at Lynx Analytics. He currently leads the Analytics Team in the division of Media Strategy and Analytics at Singapore Press Holdings. Dr Lin has diverse experiences in the telecom, banking, location based analytics, retail, marketing and web analytics industries. Topic : The digital transformation of SPH With the proliferation of digital media, the traditional media is facing staggering challenges. As SPH undergoes a digital transformation, we will also look at how wej can maximize our reach by print papers at the same time. During the presentation, we will: • understand the newspaper penetration of different area and targeted conversion. • look at SPH's daily retail sales optimization model and deployment. 3. Mr Salman JAFFER, CFA - Technology Lead, Thomson-Reuters Salman is a Chartered Financial Analyst and has led many financial services risk, trading and technology implementations from concept to finish across the globe for over 15 years. Previously, as Head of Data Science at Sentifi, Salman combined his rare skill set of strong knowledge in technology and finance to formulate and deliver unique solutions to classical machine learning and advanced deep learning problems. Salman holds a degree and a number of professional qualifications in the fields of Computer Science, Machine Learning, Big Data and Finance. He is currently the Head of TMS / BOLD in Singapore focusing on NLP Problems for clients. In his spare time, Salman likes rock climbing, Muay Thai and running. More details will be coming up soon. Stay tuned for more updates!
- Fintech and Big Data
Undisputedly, Fintech is making its impact felt across different areas of financial services, be it lending, payment, trading, or risk management. As cyrptocurrencies such as Bitcoin, Ethereum and Litecoin continue to emerge, is there more that we can do to further expand the potential of Fintech? Are there also any risks that one must consider in the design and application of Fintech? How can regulation of Fintech mitigate the risks presented? ABDA is honoured to invite the following speakers who will broach these questions at our next meet-up: • Mr Johnson Poh, Head Data Science and Senior Vice President for Big Data Analytics, DBS Bank Johnson is currently Head Data Science and Senior Vice President for Big Data Analytics at DBS Bank. He holds an adjunct faculty appointment at SMU School of Information Systems where his core focus areas include applied statistical computing, machine learning as well as big data tools and techniques. He spent the past decade leading teams in applying statistical learning models across government, pharmaceutical as well as financial industries. Johnson received his postgraduate degree in Statistical Computing at Yale University and completed his bachelor degrees in Mathematics, Statistics and Economics at UC Berkeley. Topic: Unravelling the (data) science behind Robo-advisory • Dr Hu Jianfeng, Assistant Professor of Finance, Singapore Management University; Co-Founder & Chief Investment Officer, Paraclete Fund Jianfeng Hu is an Assistant Professor of Finance in Lee Kong Chian School of Business at Singapore Management University. His research interests include informed trading, derivatives, and market microstructure. His research papers have been published in the Journal of Financial Economics, Management Science, Review of Finance, and the Journal of Derivatives, and featured in the Wall Street Journal, Bloomberg, and CNBC. Jianfeng is also co-Founder and Chief Investment Officer at a quantitative fund, Paraclete. Jianfeng obtained his PhD in finance from Baruch College, the City University of New York. Prior to the academic life, he was a fixed income derivative analyst at Credit Suisse. Topic: Big Data, FinTech, and Value Propositions of Financial Services Join us to learn more! Date : 28 November 2017 (Tuesday) Time : 7pm – 9pm Venue : PropertyGuru Main Office 111 Somerset Road, TripleOne Somerset #08-20/28 Singapore[masked] Hope to see you there!
- Deep Learning for Recommender Systems
In recent years, the Internet industry has shifted more and more towards digital content distribution through online services such as Spotify and Netflix. As the number of items that are available as well as the number of users increases dramatically, it becomes a challenge to meet the specific need of each customer. Although recommender systems have been studied extensively, the problem of news and video recommendation in particular is complicated by the sheer variety of different topics and genres, as well as social and geographic factors that influence user preferences. We are going broad in topic and looking at some of the tricks of the trade in Deep Learning, TensorFlow and Keras. You can expect to have 2-3 'long format' talks, which discuss tips, short cuts, and tricks for building, training and improving your models. And, as always, we're actively looking for more speakers - both '30 minutes long-form', and lightning talks where we welcome folks to come up and talk about something cool they've done with TensorFlow and/or Deep Learning for 5-10mins (if you have slides, then #max=10). The key for the Lightning Talks slot is simply the cool/interesting factor. It doesn't matter whether you're an expert or and enthusiastic beginner: Given the responses we have had, we're sure there are lots of people who would be interested to hear what you've been playing with. Please suggest yourself here : https://www.meetup.com/Asia-Big-Data-Meetup/suggestion/ (https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/suggestion/)