ProductTank Lisbon - Building Products in the New AI Era
Details
Hi Product People!!
Long time no see, but we have been working to bring you a new meetup, as always with the greatest speakers that can share their experience and help everybody to build products that people love.
At the same time we are always trying to bond the meetup with great venues, and this time Uniplaces will host us at their HQ! Many many thanks!!
For this meetup we will focus on one of the trendiest themes, Machine Learning / AI, and we invited 2 top speakers to give their vision about it and how they see it from the product perspective.
Paulo Dimas - Head of Product @ Unbabel
Presentation: The AI Product Manager
"Artificial Intelligence (AI) is super powering existing products and unlocking completely new possibilities. In this talk, we'll discuss what it is like to be a Product Manager in this new AI era. We'll provide an overview of the hottest AI building blocks, together with the new skills that PMs need to acquire to effectively communicate with teams developing AI solutions."
Bio:
Paulo Dimas is the Head of Product at Unbabel, helping to build the world’s translation layer by empowering with Artificial Intelligence a worldwide community of bilinguals.
Paulo has a passion for products, having developed his first commercial one at 14 years of age. After joining INESC at 16 as a research intern, Paulo has founded 2 companies, the last one Wizi, a VC funded startup that launched with mobile carriers in 3 continents, taking geo-social discovery to any mobile subscriber.
Paulo has created patents in geo-location technology and developed award-winning projects for major companies in the Media and Telecom industries.
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António Alegria - Product Lead @ Feedzai
Presentation: Machine Learning: Building Products at Scale
"How to build Machine Learning products that scale (in all dimensions) and autonomously evolve.
While data technologies have been exploding and becoming commoditized, using them effectively to build a product that delivers real value to users can be a mysterious art. A lot of companies still use "gather data, think about it later" but then fail to put that data to work.
Let’s demystify machine learning system’s Data Science lifecycle (from data to production to a continuously evolvable system). Explore the fundamental recipe to build data-learning products that put data to work and provide experiences that are, ironically, more human."
Bio:
I am a Product guy who loves creating services that make sense of data, turning them into actionable insights for people and businesses in real-time and at scale.
I come from an Engineering and Data Science background, and have spent the past 10 years designing and building disruptive data-intensive products in different domains, from Telecom to Payment Processing; from stealth network monitoring to real-time analytics; from Predictive Analytics to Fraud Detection.
I’m currently battling evildoers with AI swords at Feedzai, where I lead our E-Commerce Fraud Prevention Product, helping some of the world’s top brands sell worldwide.
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Some quick notes:
• We will start at 19h sharp, so please be on time.
• The format, as always, will be 20-25m presentations followed by QA / open discussion about the topic (so bring your questions!!)
• After that there will be networking time, until around 21h