For this episode, we have the pleasure to have a thought leader in the data and analytics space, Felix Liao, with us to share some latest trends and amazing insights into the present and future of data science, machine learning, and AI.
Felix is the Head of AI/ML and Analytics Platform for SAS Australia/New Zealand. He has been working with SAS for over 10 years now and has worked in positions of Business Solution Manager – Data Visualisation and Big Data Analytics and Business Solution Manager – Information Management and Big Data before becoming the head of AI/ML and analytics platform.
SAS is a global leader in business analytics software and services, and one of the largest independent vendors in the data science and business intelligence market.
What gives Felix an added edge as an expert in the field of data technologies, is his unique mix of knowledge. After getting the Bachelor of Engineering in Computers from the University of NSW, he acquired his MBA from Macquarie University – Graduate School of Business. He is also a SAS certified Data Scientist. This mix of education enabled him to understand both the science and the business aspects of things.
Apart from developing and strategising SAS’ AI, ML, and analytics platform offerings, Felix also frequently writes blogs and speaks at industry-leading conferences.
In this episode, Felix discusses with Jason to uncover some very insightful aspects and use cases of data science and AI/ML for businesses. The topics discussed range from the use of unstructured information to ethics in AI.
One such interesting and very useful topic that Felix shared is The Holy Trinity approach to utilizing data and analytics for businesses, where the trinity is composed of – knowing the heart of the business problems, applying data science to solve those problems, and using the right technologies.
He also shares how the development in the space is just the tip of the iceberg into industry 4.0 in relation to the use of AI/ML. He explains the blurred or grey lines between the right and wrong and how it impacts the developments and use cases of AI. Why the government and industries need to work together to work out what is the responsible ethical use of data and there is a lot of work to be done.
How the enterprise intelligence decisioning could help better drive consistency across the enterprise and it is crucial to avoid biases and have some guard rules. Moreover, he provides strategies, tools, and techniques to use for upskilling your staff to fill in the data science roles. How Auto ML can help businesses deal with skills shortage but you have to put those proper guard rules in place.
And last but not the least, some solid points of considerations for cloud adoption in your data operations.
Tune in to the podcast to learn all this and much more!
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What is one book that you would gift to your younger self and why this book?
- The 7 Habits of Highly Effective People by Stephen Covey