3. Use statistical models and forecasts techniques, 

as in algorithms searching for patterns in defined
circumstances, to understand the future and answer:
“What could happen?”
P R E D I C T I V E D ATA
6. D I S T R I B U T E D L E D G E R
T R U S T M A C H I N E
I M M U TA B L E
D E C E N T R A L I Z E D
P R O G R A M M A B L E
M U LT I S I G N AT U R E A U T H
P R I VAT E
C O N S O RT I U M
P U B L I C
7. H O N E S T Y A C C O U N TA B I L I T Y
C O N S I D E R AT I O N T R A N S PA R E N C Y
I N T E G R I T YB U S I N E S S T R U S T
8. T H E T H I R D WAV E
PA RT N E R S H I P S P O L I C Y P E R S E V E R A N C E
10. JOANNA - 24 YEARS - UCL
LAST YEAR GEO ECONOMICS
SCHOLARSHIP 15K
UCLA IS FOLLOWING
BUSINESS X IS FOLLOWING
STUDENT X
2 0 1 4
2 0 1 5
G R A D E A 1 4 5 P T
G R A D E B 1 7 6 P T
G R A D E A 2 5 9 P T
G R A D E C 1 6 1 P T
G R A D E C 2 3 5 P T
G R A D E B 2 8 1 P T
G R A D E C 2 5 7 P T
G R A D E B 3 6 1 P T
G R A D E A 3 7 2 P T
G R A D E C 3 6 4 P T
G R A D E A B C 5 8 P T
11. O W N E R S H I P
K N O W L E D G E
https://www.alvis.io@hyperalvis
12. S E C U R I T Y
O W N E R S H I P 

K N O W L E D G E
P R I VA C Y
13. O W N E R S H I P K N O W L E D G E
S T O R E Y O U R D E G R E E S , G R A D E S , C E RT I F I C AT E S A N D M O R E
S T U D E N T
E T H E R E U M 

S M A RT C O N T R A C T S
I P F S
A S S E S S M E N T S
U T I L I T I E S
G O V E R N M E N TA L
B U S I N E S S
C O M P L I A N T 

Q U A L I T Y A S S U R A N C E
D I G I TA L I D 

D ATA P R O T E C T I O N
A U D I T T R A I L E D U C AT I O N
M O N E TA RY C O M P L I A N C E
P U B L I C N E E D
Connecting to the models that are responsible for getting the right amount of scholarship or that you are getting the right amount of credit
14. O W N E R S H I P O F K N O W L E D G E
S T O R E Y O U R D E G R E E S , G R A D E S , C E RT I F I C AT E S A N D M O R E
C O N N E C T
K N O W L E D G E VA L I D
M O D E L F 1 1 P E R S O N 0 X 1 1 F 4
I N P U T
A L L D A TA I S V E R I F I E D
A N D C O M P L I A N T
V E R I F I C A T I O N 

K N O W L E D G E
R E G U L A T I O N S
S PA R K M L
15.
16. B L O C K 1 2 0 

T X 0 F 2 3 4 5
T X 4 5 6 3 0 F
T X 0 F 6 5 3 2
B L O C K 1 2 1 

T X 7 5 6 2 1 2
T X 0 F 7 5 6 3
T X 1 2 3 4 5 4
B L O C K 1 2 3
T I M E S TA M P
L I N K T O G R A D E
PERSON X
I P F S
E D U C AT I O N 

U N I V E R S I T Y
H I G H S C H O O L
E L E M E N TA RY
B A S I C
K N O W L E D G E 

G O V E R N M E N T
B U S I N E S S
G R A D E S
C E RT I F I C AT E S
D E G R E E S
E X P E R I E N C E
T H E S I S
P R O G R E S S
G O V E R N M E N T $
E D U C AT I O N $ $
B U S I N E S S $ $ $
17. O W N E R S H I P K N O W L E D G E
S T O R E Y O U R D E G R E E S , G R A D E S , C E RT I F I C AT E S A N D M O R E
18. F I N A L T H O U G H T
https://www.alvis.io@hyperalvis
19. L E T S U S E T H E B L O C K C H A I N F O R
C O N S E N S U S , P E R S I S T E N C E A N D T R U S T
M I T I G AT E R I S K W I T H A N P E R M A N E N T
A N D I M M U TA B L E U N B I A S E D S E R V I C E
D E T E R M I N I N G O U T P U T B A S E D O N B O T H
E T H I C A L A N D B U S I N E S S R U L E S
20. T H A N K Y O U
@ H Y P E R A LV I S | H T T P S : / / W W W. A LV I S . I O
J O I N U S AT S L A C K : A LV I S T E A M . S L A C K . C O M