Adam Drake

About

Adam Drake’s professional background includes a wide range of technical professional and management roles, including: leading technical business transformations in global and multi-cultural environments, performing in-depth technical due-diligence and funding analysis for investors, and mentoring new technical and operational executives. His passion is to help companies become more productive by improving internal leadership capabilities, and accelerating product development through technology and data architecture guidance. His technical interests include online learning systems, high-frequency/low-latency data processing systems, recommender systems, distributed systems, and functional programming.

Adam has a background in Applied Mathematics and has worked in technology roles since the 90s. His career spans a variety of industries, including e-commerce, online travel, online marketing, financial services, healthcare, and oil and gas.

Talks

Some talks I’ve given, in reverse chronological order:


Machine Learning with Fully Anonymized Data, Machine Intelligence Toronto, 14 December 2017

Abstract:

Sharing data for any purposes, including for machine learning, is fraught with problems related to ethics, organizational policy and dynamics, and regulatory restrictions. In this talk I will discuss the topic of feature hashing and how, with a slight modification from the standard approach, we can satisfy many ethical and other requirements by training our models without any knowledge of the underlying data. In addition to presenting the ethical and regulatory benefits of building machine learning models using completely anonymized data, if time permits we may explore and discuss the performance characteristics and benefits of such an approach.

Download slides


So You Want to be a Data Scientist, Singapore, 15 March 2017

A panel discussion arranged by General Assembly Singapore. For the full writeup, see the excellent article by Vicky Lai.

Considering a career as a data scientist or data analyst? Curious about what a day-to-day job in data looks like? Join General Assembly and NTUC to learn about what a day in the life entails for a data expert!

Hear from a panel of data experts as they tell all about their professional experience and see what it’s like to work as one. We will explore different options for branching into data and discuss how data experts are found and hired. We will also talk about the expectations you can have throughout your career and key areas of growth within the industry.


How to Lead and Win in a Data Life, Singapore, 6 October 2016

From the Data Science Singapore’s Meetup page:

Hi all! Adam (who spoke in June on Big Data, Small Machine) is back to share with us his thoughts on data leadership and building a successful career in the data science. We will follow his talk with a panel discussion between Adam and Koo (who is Co-founder/Practicum Director of Data Science Rex and Adjunct Lecturer at NUS-ISS, SMU & UniSIM). Kai Xin (data scientist from Lazada) will be moderating the panel.

YouTube video of talk


Chief Data Officer Summit, Singapore, 30 June 2016

Abstract:

Organisations boards have now realised they need someone in a position who can oversee the strategic business application of its information assets enterprise wide. The Chief Data Officer Summit will focus on this leadership function and how it’s changing businesses globally. With presentations & case studies from today’s data experts, you’ll return to the office with the inspiration to innovate your data strategy.

Download CDO Summit 2016 slides


Data Science Singapore, Singapore, 16 June 2016

I gave a tech talk to a wonderful audience at from Data Science Singapore. Many thanks to the organizers and the host (Singapore Management University) for their efforts.

Abstract:

Datasets too large to fit into RAM are increasingly common, even in simple environments like Kaggle competitions. Adam will introduce some ways of dealing with this issue in addition to demonstrating some scalable machine learning techniques which are production ready and capable of processing over 10s of thousands of events per second on an old laptop.

Download DSSG June 2016 slides

YouTube video of talk


Aon Center for Innovation and Analytics, Singapore, 16 June 2016

I had the honor of participating as an expert panelist on the topic of Corporate Innovation & the Road to Entrepreneurship. The internal-only event attracted approximately 80 attendees from Aon’s global and Asia Pacific executive team in addition to some of their up and coming technology and business leaders. It was a wonderful event and the organizers did a fantastic job.


Free and Open Source Software Asia (FOSSAsia), Singapore, 19 March 2016

FOSSASIA is the premier Free and Open Source technology event in Asia for developers, start-ups, and contributors. Projects at FOSSASIA range from open hardware, to design, graphics and software, big data, and internet of things. FOSSASIA was established in 2009. Previous events took place in Cambodia and Vietnam.

Video

Download FOSSAsia 2016 Slides


Big Data and Analytics Innovation Summit, Singapore, 2 March 2016

Download Big Data and Analytics Innovation Summit slides


Chief Data Officer Summit, Singapore, 18 June 2015

Download CDO Summit 2015 slides


Big Data Singapore, Singapore, 4 March 2015

Meetup Link

I don’t have the slides and no photos or videos of this one, unfortunately.


Edinburgh Parallel Computing Center (EPCC), Edinburgh, 2 February 2015

This event was organized by the EPCC to discuss data topics in prominent companies and industrial research centers in order to share experience on high-performance data processing.

Download EPCC slides


Big Data Berlin, Berlin, 28 August 2014

Download Big Data Berlin slides


PyData Berlin, Berlin, 25-27 July 2014

Panel Discussion: The Challenges and Frontiers of Data Science in Europe

Video