Interview on unsupervised machine learning.
Interview about my AI company, Pure Strategy.
My discussion of the impact of the growing accessibility of data analytics tools.
We can now quickly create and test machine learning systems, adapt them on the fly, and perform large-scale A/B tests in real time. The underlying science that powers machine learning and cluster computing in technologies like Spark and Tensorflow makes these capabilities accessible to everyone.
Interview with me about the skills I look for in job candidates.
Being that I speak on so many panels, InformationWeek asked me to provide some advice on how those new to panel moderation can do so successfully.
Press release of an award my company Pure Strategy won at StartUP Canada.
Interview about my journey in tech.
Interview about how AI can be used in marketing.
Interview about my experience trading right before the Global Financial Crisis on the ten-year anniversary of the Lehman Brothers collapse.
The key to moving from a good data scientist to a great one goes well beyond technical knowledge. Instead, the more advanced you get in your career, the more essential it becomes to be able connect and synthesize ideas from elsewhere.
My top 5 non-data-science reads of 2018 including books about neurology, lexicography, psychology, sociology, and evolutionary biology
Coverage of my company’s award at StartUp Canada in 2018.
My insight in trends in IT for 2019 in automation and machine learning.
My thoughts on the future of entrepreneurship.
The biggest change in entrepreneurship will be a consequence of the speed at which companies can now scale. This hypergrowth mode has never before been possible.
My insight on the future of ethics in artificial intelligence.
My comments about how airlines can use Pure Strategy's ANIE to improve the customer experience.
AI systems can quickly allow airlines to determine if there is an opportunity to positively intervene in the customer journey and turn a poor experience into a delightful one. It also allows companies to react faster in a synchronized, aligned way that is on-brand and consistent with the business’s values.
My comments on how essential creativity is for a data scientist working with big data.
Hear from myself and others about what questions machine learning engineers can expect in a job interview.
My lessons learned on failed big data projects.
I share my point of view with Workflow Magazine on how to monitor model prediction errors for bias.
I speak with ITProToday about how to take advantage of AI in your business.
Before starting an AI project, businesses should do an readiness assessment and audit of their data collection and usage: what teams are using various data streams, how frequently, what are they using it for, and what decisions are being made as a result
My comments on the 2018 State of AI Index report.
My comments on challenges that the IT department typically faces in a large organization.
I spoke with Rassmussen College about what students need to do to prepare for changes in the job market as a result of artificial intelligence.
My comments on Singular’s survey of CMOs regarding the future of marketing.
Press for a public opinion poll on Canadians' views on climate change.
Interview about using gamification in data collection.
Interview about Canadian public opinion on climate change.
Front page of the Huffington Post for public opinion research on climate change.