How to implement ML into organisations of all sizes

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ML research is being released at break-neck speeds, ML patents have been growing at 34% YoY from 2013 (Forbes). Implementing ML requires a different lens to creating ML algorithms in an experiential environment. In this session we will conduct a deep dive on how organisations can implement these solutions. Expanding the ML research project pipeline from building and testing the algorithm to also incorporating deployment of the model into production and taking into consideration the factors that impact businesses.

Our guest speaker will be Mr Lorenzo Ampil, a Machine Learning Researcher & Data Strategist at Thinking Machines, a global AI consulting firm based in Manila. Lorenzo leads projects focused on providing data driven solutions that involve machine/deep learning, statistical modeling, and strategy consulting in order to create business value for clients. He specializes in projects that utilize NLP & structured data for various industries.

Previous to this, he put up his own consulting firm, Vanta Analytics, where he provided end-to-end data science services and RPA solutions. His clients included some of the Southeast Asian offices of a big 4 accounting firm, and 3 of the fastest growing sharing economy startups from Australia. He also worked at Uber as an Analyst, where he handled projects related to machine learning, NLP, analytics, and automation for the APAC region’s community operations.

We're really excited to have Lorenzo share his insights with us!

Welcome & Introductions (10 mins)
Keep Dreaming: cover some of the coolest new research being released (15 mins)
Main Topic: Mr. Lorenzo Ampil - How to implement ML into organisations of all sizes. (30 mins)
Q&A: (15 mins)
Drinks and Networking (20 mins)