This presentation covers what it's like to use AI in Product for a company and the different ways they can be implemented within an organization and we'll also touch on some of the misconceptions that come with using AI in Product. Main takeaways: - Multidisciplinary Product Manager - Managing a product with invisible software, vague requirements in AI/IoT, - Customer vs Industry - Difference between technology and product; When to productize? - AI as a feature vs AI as a product - Product Management for the Internet of Things

1. How to Use AI in Product by Intel Product
Manager
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8. Charu
Govindarajan
TONIGHT’S SPEAKER

9. Product School
Talk
Charunethran
Govindarajan

10. Disclaimers
Google Slide Template credit - SlidesCarnival
10
1. The views and opinions expressed in this presentation are mine and do not
necessarily reflect the official policy or position of intel corporation
2. If I have not credited or cited sources, please email me at
charunethran@gmail.com for the correction. The mistake is unintentional
3. I am not an AI expert!

11. Kerala Floods
Donations can also be made directly to the relief organisations
working in Kerala:
Oxfam India accepts donations through its fundraising campaign
on crowdfunding platform Ketto (here).
Goonj accepts donations to its bank account and through its
Ketto fundraising drive (here).
Habitat for Humanity Rapid Response, and Indo Global Social
Service Society, too, are running fundraising drives.
Milaap has launched a campaign for the Kerala floods.
HelpAge India, a non-profit for disadvantaged senior citizens, is
also accepting contributions.
Source: The Wire

12. About me
2010
Graduated from Anna
University; Research
Associate in the Computer
Science department @ IIT
Madras
Started Masters in
Electrical Engineering @
Stanford
2011
2013
Joined Intel as a Software
Developer; One of first 3
engineers to work on Open
Interconnect Consortium
2015
Became a Product
Manager in SSG; Focus on
IoT, Security and Consumer
Products
2018
PM + Competitive
Positioning focusing on
AI/IoT
Email - charunethran@gmail.com
Twitter - @charupg

13. Agenda
➔ My PM experience
➔ The importance of being multidisciplinary
➔ Customer vs Industry
◆ Difference between technology and product; When to productize?
➔ Product Management for the Internet of Things and AI
◆ What’s new?

14. Why PM?
Engineering
DesignBusiness
Functionality, Backend,
Validation, Performance,
Feasibility, Testing, Architecture,
etc.
Vision, Goal, Mission,
Analytics, Budget,
Stakeholders,
Demographics, etc.
Creativity, Aesthetics,
(Brand),
Front End, Customer
Experience, etc.

15. Typical day for me
Customer Visits,
Market Research,
Documentation
Sales and
Marketing, Vertical
Ecosystem Ideation,
Strategy
Product
Development,
Architecture
discussions, Product
Support
Leadership pitches,
Funding, Headcount
Legal team meetings, NDA,
Hand-off platforms

16. Multidisciplinary PM
➔ Product Management is a
multidisciplinary, Duh!
➔ Multidisciplinary ≠ Multitasking
➔ Nobody is expecting you single-
handedly build the product and
make it a success
➔ Haters gonna hate

17. ➔ Don’t try or act to be an expert in all disciplines
➔ Programming, Biz Strategy, Roadmap building, Dogfooding, UX
Research, UI Design, Market Research, Tech Writing, Customer
Support, Architecture
◆ Expert in none of the above!
➔ Should know enough in each of these domains so that you are still
responsible for the entire product development lifecycle
Multidisciplinary PM
“Constantly aware of the changes happening in all sub-domains and thereby, the
butterfly effects on the product backlog”

18. Source: Google Images

19. PM Goals!
Technical Knowledge
Customer/User Focus
DesignLeadership Skills
S&M

20. Customer vs Industry
● “The customer is always right” - Meh! Not really
● Neither are you (and your company)
● Empathize with the customer and read in-between the lines
Case 1: Customer and Industry are aligned
- Value add to customer?
- Competition awareness
Case 2: Customer and Industry are not aligned
- Scope for innovation
- Reassess your USP

21. Even when they don’t yet know
it, customers want something
better, and your desire to
delight customers will drive
you to invent on their behalf
“
- Jeff Bezos

22. Seems cool, doesn’t it?
Source: Engadget.com
Source: Wired.com
Source: The Verge
Source: Time
Source: Google

23. PM for IoT
IoT Apps

24. IoT - Expectation vs Reality
● Gartner Research predicted in 2014 that a “typical family home” could house up to 500 smart objects by 2022
● Ericsson - “50 billion internet-connected devices by 2020”
● IBM investor briefing in 2012 estimated a trillion interconnected devices by 2015 (you didn’t read that wrong!)
Source: CloudTweaks.com

25. End-to-end solution
Device/Gateway
OS/RTOS
Connectivity (Field/IoT
Protocols + N/w Mgmt)
Application
Data Mgmt &
messaging
Security
Reliability

26. AI/IoT Customer requirements

27. If a typical person can do a
mental task with less than one
second of thought, we can
probably automate it using AI
either now or in the near future
- Andrew Ng
“

28. What’s New?
Performance
Data
Traditional
AI
Small NN
Medium NN

29. Secret Recipe
Customer
Acquisition
Data
Accumulation
Product Launch

30. AI vs Usual Software

31. Source: WildBook

32. PRD change?
➔ Strategic Data Acquisition
➔ Unified Data warehouse
➔ Spotting pervasive automation
➔ Keep pace with AI

33. Intel
Strategies

34. IoT/AI use case

35. Thank You!
Questions?

36. Part-time Product Management Courses in
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