This document discusses several emerging technologies including Internet of Things (IoT), machine learning, augmented reality, and blockchain. For IoT, examples are given of using sensors to optimize garbage collection and monitor sewer systems. Machine learning involves using algorithms to have computers learn from large amounts of data, with examples like disease research and automated cars. Augmented reality enhances the real world with virtual objects, with potential applications in education, games, and reducing physical space needs. Blockchain is a decentralized network of databases that can enable public, immutable records for uses like payments, identities, and legal contracts. Successful cases include cryptocurrencies and applications where transparency and trust are important.

4. IOT
WHAT IS?
HOW CAN WE USE?
HOW IT WORK?
CASE OF SUCCESS?
ONE THING THAT I LIKE!

5. IOT = Internet of things
It's anything that is connected
to the internet that can be
send and receive data

6. Building simple softwares for
devices, we can use in arduino,
raspberry pi.
It's simple because you will use
something that you probably
know at small device to record
some data.

7. YOU SET YOUR DATABASE AT
CLOUD, WHEN SOME SENSOR
RECEIVE THE INFORMATION
YOU WILL PUSH TO THE CLOUD
AND HAVE YOURS STATS.

8. RECYCLE - SENSOR THAT
ECONOMY THE COST OF
COLLECT GARBAGE!
SMART HOUSE - MANY SENSORS
AND FULL CONTROL OF YOUR
HOME
SEWERS - SENSOR THAT TELL
WHEN SOME BULLETS IS FULL
THIS PREVENT FLOODING

9. ECHO DOT
FOR SMART HOUSE AND SOME
BIG START FOR IOT!

11. MACHINE LEARNING
WHAT IS?
WHAT STACK I WILL USE?
WHY IS SO HARD?
HOW IT WORKS?
HOW CAN WE USE?
CASE OF SUCCESS?

12. YOU CAN LEARN FAST?
MACHINE CAN LEARN A
MILLIONS OF TIME MORE FAST
ML IS JUST PUT THE MACHINE
TO SEE THE STANDARDS AND
PREDICT WHAT WILL HAPPEN

13. PYTHON OR R LANGUAGE
TENSORFLOW
MATHEMATICS
DATA VISUALIZATION
JUPYTER NOTEBOOK
CLOUD SERVICES TO RUN ML IN
LARGE SCALES

14. YOU HAVE TO KNOW MANY
THINGS TO MAKE THE SMART
BUILDING.
THE MINIMAL THAT YOU HAVE
TO KNOW IS THE STACK AT THE
PREVIOUS SLIDE.

15. FIRST YOU HAVE TO KNOW
WHAT YOU LOOKING FOR,
WHAT YOU WANT PREDICT
LIKE, THE PRICES OF HOUSES,
THE LETTER OF A CAR PLATE OR
IF A PERSON IS HAPPY.
THE NEXT STEP IS ….

16. YOU HAVE TO KNOW WHERE
THE DATA COME FROM, YOU
HAVE TO SEE IF THE DATA IS
CONSISTENT, RESOLVE THE
NULL FIELD
THE NEXT STEP IS...

17. AFTER THE PREPARED DATA IS
COMPLETED, WE HAVE TO
ANALYSE IF THE DATA MAKES
SINCE, IF IT'S EVERYTHING
RIGHT WE GO TO THE NEXT
STEP, IF ISN'T WE GO BACK.

18. TRAIN YOUR DATA AND AFTER
TEST YOUR DATA TO YOU GET
THE ACCURACY OF YOUR
TRAINING SET AFTER THAT YOU
WILL HAVE YOU FIRST MACHINE
LEARNED!

19. DO THE CORNO JOBS BE
AUTOMATIC!

20. CAR WITHOUT A DRIVER
FACEBOOK IMAGE
RECOGNITION
DISEASE RESEARCH
ROBOT TAKE DECISIONS
SIRI

22. AR
WHAT IS?
HOW CAN WE USE?
WHAT STACK USE?
CASE OF SUCCESS?

23. AUGMENTED REALITY
EVERYONE ALREADY PLAY
POKEMON AND IT'S A NEW WAY
TO SEE THE THINGS.
MERGING
WHAT IS REAL
WITH
WHAT ISN'T REAL

24. TEACHING CHILDRENS
BUILDING GAMES
REDUCING SPACES
YOU CAN PUT THINGS AT
PLACES
YOU CAN USE A PC WITHOUT
HAVE A PC
JUST USE YOU IMAGINATION

25. YOU HAVE TO KNOW:
3D
ANIMATION
SWIFT (APPLE)
BUILD APPS
AR KIT

26. FOR ME DON'T HAVE YET
BUT
POKEMON GO USES
EVERYTHING THAT AR HAVE
BUT WAS MORE COMPLEX TO
MAKE, BECAUSE AR KIT DIDN'T
EXISTS WHEN POKEMON GO
WAS LAUNCHED!

28. BLOCKCHAIN
WHAT IS?
HOW CAN WE USE?
CASE OF SUCCESS?

29. BLOCKCHAIN IS A NETWORK
DECENTRALIZED, YOU HAVE A
DATABASE, CONTRACTS AND
NETWORKS THAT WILL RUN AT
MANY DEVICES!

30. LAWERS MARKET
ID'S OF PEOPLE
SINGLE WORLD ID
PAYMENTS LIKE BITCOIN
EVERYTHIN THAT HAVE TO BE
PUBLIC AND IMUTABLE

31. THE BIG CASE OF SUCCESS IS
CRYPTOCURRENCIES BUT YOU
CAN USE THIS TECH IN
EVERYPLACE THAT YOU WANT!

32. BLOCKCHAIN
WHAT IS
HOW CAN WE USE?
WHAT STACK USE?
CASE OF SUCCESS?