We all have been hearing about AI - the latest hype! But how you, that work with Product Management can benefit from it? This presentation tell a bit about the history of AI, the latest developments, limitations and how can you handle it. Let the machines learn!

1. AI as a Product
Product People, all hail Bender!

2. Agenda
• ~
• My AI Day
• Rockabilly AI
• Lord Stark's Phase
• Embodiment, Deep Blue & BI
• CPU & Storage are commodities
• Data Science & Machine Learning
• Where is AI now
• And what about AI products?
• In Short

3. Thiago de Faria
DataOps & AI Lead, LINKIT
Event Organiser @thiagoavadore

4. My AI day
Sometimes it feel a bit unnatural

16. Rockabilly AI
Do not oversell this sh*t like they did

17. “Machines will be capable, within twenty years, of doing any work a man
can do”.
- Herbert Simon in 1956

18. Lord Stark's Phase
The 80’s winter

20. Embodiment, Deep Blue & BI
Analytics was the 90’s winner

22. CPU & Storage are commodities
AWS, Watson in Jeopardy and Recommendation Systems

23. Data Science & Machine Learning
Previous Hype

24. When the desired behavior cannot be implemented in regular software
logic without dependency on external data, go for Machine Learning.
- Me, now
What
An algorithm that iteratively learn from data without being explicitly
programmed where to look.
Why

25. Where is AI now
Image, Speech, Text and the ultimate hype - Autonomous Cars

28. What hold us back
Labeled Data for your problem
Man-in-the-loop
Active Learning
UX not mature
Time and Research

29. And what about AI products?
Is there anything different? No!
It just gives you less limitations!

30. The dream
Does your product has a step that could be done by an expert?
Why do not build an expert?

31. In short
• AI had its ups and downs
• It is here to stay
• careful to not oversell
• Active Learning will be da bomb
• The UX is very young
• All products can have AI
• Let the machines learn!

32. Questions?
@thiagoavadore
thiago.de.faria@linkit.nl