Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Immaginate...uno sguardo sul futuro
1. Gorizia
24 maggio
2012
Immaginate...
Michele Vianello
Direttore del VEGA
2. Sono il Direttore Generale
del VEGA (Il Parco
Scientifico e
Tecnologico di Venezia).
Mi sono occupato e mi
occupo di WEB e di Social
Media,
di Città Intelligenti.
Mi trovate su Facebook, su
Twitter,
su Linkedin ecc. ecc.
Se volete seguirmi, leggete
il
mio blog:
http://www.michelecamp.it
p.s.
sono considerato uno
“starnutitore”
v. Seth Godin
vediamo se funziona anche con
voi....
9. Cloud computing
E’ l’epoca ...
Connettività in movimento
Michele Vianello
http://www.michelecamp.it
10. Cloud computing
Social
Network
E’ l’epoca ...
e
Crowdsourcing
Connettività in movimento
Michele Vianello
http://www.michelecamp.it
11. Cloud computing
Social
Internet
Network
E’ l’epoca ... of
e
Things
Crowdsourcing
Connettività in movimento
Michele Vianello
http://www.michelecamp.it
12. Cloud computing
Social
Internet
Network
E’ l’epoca ... of
e
Things
Crowdsourcing
Connettività in movimento
The Big DATA
Michele Vianello
http://www.michelecamp.it
13.
14. slide di Michele Vianello
Michele Vianello
http://www.michelecamp.it
15. slide di Michele Vianello
Michele Vianello
http://www.michelecamp.it
26. “Le nostre Città si stanno
trasformando
velocemente in ecosistemi
artificiali composti da
organismi digitali
interdipendenti e
interconnessi.”
William J.Mitchell (MIT)
Michele Vianello
http://www.michelecamp.it
27. Cloud Computing
e
Tablet
generano un cambiamento
epocale.....
Michele Vianello
http://www.michelecamp.it
28. Cloud Computing
e
Tablet
generano un cambiamento
epocale.....
Michele Vianello
http://www.michelecamp.it
29. Cloud Computing
e
Tablet
generano un cambiamento
epocale.....
DECONTESTUALIZZAZIONE
Michele Vianello
http://www.michelecamp.it
30. Cloud Computing Lavoro,
e luogo,
Tablet orario...
generano un cambiamento sono il
epocale..... passato
DECONTESTUALIZZAZIONE
Michele Vianello
http://www.michelecamp.it
36. “Oltre la demografia”
“Nell’era digitale io sono
io, non un sottogruppo
statistico. Io significa
informazioni ed eventi
che non hanno alcun
alcun valore demografico
o statistico”
Nicholas Negroponte
“I mercati sono fatti di
esseri umani, non di
segmenti demografici”
David Weinberger
Michele Vianello
http://www.michelecamp.it
38. Ogni anno nel mondo
abbiamo a disposizione
un trilione di ore da
dedicare al tempo libero!!!
Michele Vianello
http://www.michelecamp.it
39. Ogni anno nel mondo
abbiamo a disposizione
un trilione di ore da
dedicare al tempo libero!!!
Una persona nata nel 1960,
a oggi ha guardato circa
50.000 ore di televisione.
Prima di morire ne
guarderà altre
30.000.
Michele Vianello
http://www.michelecamp.it
46. “SURPLUS
COGNITIVO”
Ognuno di noi, collabora, produce, dialoga,
condivide, regala,
genera reddito e ricchezza.
Vale per gli esseri umani vale, sempre di più,
per le imprese!!!!
Michele Vianello
http://www.michelecamp.it
51. “Quando dici collaborazione, il quaranticinquenne medio
pensa di sapere ciò di cui stai parlando -un team che si
siede attorno a un tavolo e conduce una bella
conversazione, con qualche bell’obiettivo e un
bell’atteggiamento.
...oggi la collaborazione corrisponde a un approccio
profondamente nuovo all’orchestrazione della capacità
di innovare, creare prodotti/servizi e risolvere
problemi. Il social networking sta diventando social
production, una produzione sociale in base a cui gruppi
paritari autorganizzati possono progettare e produrre di
tutto, dal software alle motociclette.”
Eric Schmidt CEO di Google
Michele Vianello
http://www.michelecamp.it
52. DOMANDA: QUALE E’ LA
PIU’IMPORTANTE
PIATTAFORMA DI
CROWDSOURCING
ESISTENTE AL MONDO???
slide di Michele Vianello
Michele Vianello
http://www.michelecamp.it
53. Wikipedia =
3,5 milioni di articoli;
380 milioni di lettori;
25 edizioni in lingue diverse;
78 milioni di visitatori al mese;
VI° sito più visitato al mondo.
100.000 collaboratori volontari
1800 amministratori volontari.
Jimmi Wales: “E’ volontariato allo stato puro
entusiasta e disinteressato.”
slide di Michele Vianello
Michele Vianello
http://www.michelecamp.it
54. slide di Michele Vianello
Michele Vianello
http://www.michelecamp.it
http://ushahidi.com/
55. slide di Michele Vianello
https://italycrowdsourcing.crowdmap.com/
Michele Vianello
http://www.michelecamp.it
56. slide di Michele Vianello
Michele Vianello
http://www.michelecamp.it
63. Ricordiamo: abbiamo parlato
di“piattaforme” e non di
“portali” o di “siti internet”.
Il CROWDSOURCING
presuppone una
cultura del “dialogo”, dello
“scambio” e tanta
“bidirezionalità”.
Michele Vianello
http://www.michelecamp.it
slide di Michele Vianello
64. IL MONDO DEGLI OGGETTI PARLANTI
Michele Vianello
http://www.michelecamp.it
66. The Internet of Things Leads to the Internet
of Everything
Over 50% of Internet connections are things
2011: 15+ billion permanent, 50+ billion intermittent
2020: 30+ billion permanent, >200 billion intermittent
67. The Internet of Things Leads to the Internet
of Everything
Over 50% of Internet connections are things
Remote sensing of objects 2011: 15+ billion permanent, 50+ billion intermittent
and environment 2020: 30+ billion permanent, >200 billion intermittent
Cameras and microphones
widely deployed Everything
has a URL
68. The Internet of Things Leads to the Internet
of Everything
Over 50% of Internet connections are things
Remote sensing of objects 2011: 15+ billion permanent, 50+ billion intermittent
and environment 2020: 30+ billion permanent, >200 billion intermittent
Audio $0.5
Cameras and microphones
widely deployed Everything
has a URL
2 GB flash $3
LTE
NFC
GPRS $7/Wi-Fi $3
7" 800 x 400 display $20
69. The Internet of Things Leads to the Internet
of Everything
Over 50% of Internet connections are things
Remote sensing of objects 2011: 15+ billion permanent, 50+ billion intermittent
and environment 2020: 30+ billion permanent, >200 billion intermittent
Building and New routes to
infrastructure market via
Audio $0.5 management intelligent objects
Cameras and microphones
widely deployed Everything
has a URL
2 GB flash $3
Content and services via
connected products
Augmented Situational decision
reality support
LTE
NFC
GPRS $7/Wi-Fi $3
7" 800 x 400 display $20
70. “Internet of things" permette agli oggetti di
comunicare tra di loro attraverso il web.
Ma, non dimentichiamolo mai, non è il frigorifero
che fa la spesa. Dietro a una lampadina
ci sta sempre un uomo che l’accende.
Michele Vianello
http://www.michelecamp.it
71. The Big
DATA
Michele Vianello
http://www.michelecamp.it
72.
73. Produciamo
una grande
quantità di
dati....
Michele Vianello
http://www.michelecamp.it
74. ... ma i dati
sono
valore....
Michele Vianello
http://www.michelecamp.it
76. Big Data ... Fast Data … All Data
Mobile and
Communications
77. Big Data ... Fast Data … All Data
RFID, Meters
and Other OT
Mobile and
Communications
78. Big Data ... Fast Data … All Data
ball and
ey, base
ying hock ns.
I like pla mountai ica
climbing rth Amer
ations in No surpassed and
nt civiliz playing hockey, baseball
that
The ancie eeIring marvels they invented
gin
like
had en becaus
climbing e mouney also
tains.
d Greece ye s eelier. Th prove ica
Rome anThe ancient ar I like play in North Amer
out 700 civilizationsing hock
" to im
the "0" ab engineerinmean eering. surpabaseball and
en g marvels that ey, ssed
had "gold eir engin bing
red the clim ted
discove y aspect ofGreece because they inven s.
th mountain
rk
in New Yo They also
ever Rome andThe ancient civilizati. n
abou
the "0" ally t ented
inv700 years eelier ons in Nort
t America
s actu had engibuen ing marto improveh America
Pizza wa n food neer means vels g."
RFID, Meters
discovered thee"gold hettiengineerinthat surpassed
not ItaliaRom spag wa
everythe "0"and Gree
city. It isNot only that, t of their ce because they inve
aspec
food. abou. ted in s
in Chinat 700 yearNew YorkThey nted
Pizza was actually inven
inventedovered the "gol
disc earlier. also
Documents
American
every aspect but etti den mean"
city. It is not Italian food of their was to improve
Not only that, spagh
food.Pizza engineering.
was actuChina.
in ally invented in
invented
and Other OT
city. It is not Italia New York
food. Not only that n food but Ame
rican
, spaghetti was
invented in Chin
and Content
a.
Mobile and
Communications
79. Big Data ... Fast Data … All Data
ball and
ey, base
ying hock ns.
I like pla mountai ica
climbing rth Amer
ations in No surpassed and
nt civiliz playing hockey, baseball
that
The ancie eeIring marvels they invented
gin
like
had en becaus
climbing e mouney also
tains.
d Greece ye s eelier. Th prove ica
Rome anThe ancient ar I like play in North Amer
out 700 civilizationsing hock
" to im
the "0" ab engineerinmean eering. surpabaseball and
en g marvels that ey, ssed
had "gold eir engin bing
red the clim ted
discove y aspect ofGreece because they inven s.
th mountain
rk
in New Yo They also
ever Rome andThe ancient civilizati. n
abou
the "0" ally t ented
inv700 years eelier ons in Nort
t America
s actu had engibuen ing marto improveh America
Pizza wa n food neer means vels g."
RFID, Meters
discovered thee"gold hettiengineerinthat surpassed
not ItaliaRom spag wa
everythe "0"and Gree
city. It isNot only that, t of their ce because they inve
aspec
food. abou. ted in s
in Chinat 700 yearNew YorkThey nted
Pizza was actually inven
inventedovered the "gol
disc earlier. also
Documents
American
every aspect but etti den mean"
city. It is not Italian food of their was to improve
Not only that, spagh
food.Pizza engineering.
was actuChina.
in ally invented in
invented
and Other OT
city. It is not Italia New York
food. Not only that n food but Ame
rican
, spaghetti was
invented in Chin
and Content
a.
Internal Applications,
Mobile and Email, More
Communications
80. Big Data ... Fast Data … All Data
ball and
ey, base
ying hock ns.
I like pla mountai ica
climbing rth Amer
ations in No surpassed and
nt civiliz playing hockey, baseball
that
The ancie eeIring marvels they invented
gin
like
had en becaus
climbing e mouney also
tains.
d Greece ye s eelier. Th prove ica
Rome anThe ancient ar I like play in North Amer
out 700 civilizationsing hock
" to im
the "0" ab engineerinmean eering. surpabaseball and
en g marvels that ey, ssed
had "gold eir engin bing
red the clim ted
discove y aspect ofGreece because they inven s.
th mountain
rk
in New Yo They also
ever Rome andThe ancient civilizati. n
abou
the "0" ally t ented
inv700 years eelier ons in Nort
t America
s actu had engibuen ing marto improveh America
Pizza wa n food neer means vels g."
RFID, Meters
discovered thee"gold hettiengineerinthat surpassed
not ItaliaRom spag wa
everythe "0"and Gree
city. It isNot only that, t of their ce because they inve
aspec
food. abou. ted in s
in Chinat 700 yearNew YorkThey nted
Pizza was actually inven
inventedovered the "gol
disc earlier. also
Documents
American
every aspect but etti den mean"
city. It is not Italian food of their was to improve
Not only that, spagh
food.Pizza engineering.
was actuChina.
in ally invented in
invented
and Other OT
city. It is not Italia New York
food. Not only that n food but Ame
rican
, spaghetti was
invented in Chin
and Content
a.
Social Computing
Internal Applications,
Mobile and Email, More
Communications
81. Big Data ... Fast Data … All Data
ball and
ey, base
ying hock ns.
I like pla mountai ica
climbing rth Amer
ations in No surpassed and
nt civiliz playing hockey, baseball
that
The ancie eeIring marvels they invented
gin
like
had en becaus
climbing e mouney also
tains.
d Greece ye s eelier. Th prove ica
Rome anThe ancient ar I like play in North Amer
out 700 civilizationsing hock
" to im
the "0" ab engineerinmean eering. surpabaseball and
en g marvels that ey, ssed
had "gold eir engin bing
red the clim ted
discove y aspect ofGreece because they inven s.
th mountain
rk
in New Yo They also
ever Rome andThe ancient civilizati. n
abou
the "0" ally t ented
inv700 years eelier ons in Nort
t America
s actu had engibuen ing marto improveh America
Pizza wa n food neer means vels g."
RFID, Meters
discovered thee"gold hettiengineerinthat surpassed
not ItaliaRom spag wa
everythe "0"and Gree
city. It isNot only that, t of their ce because they inve
aspec
food. abou. ted in s
in Chinat 700 yearNew YorkThey nted
Pizza was actually inven
inventedovered the "gol
disc earlier. also
Documents
American
every aspect but etti den mean"
city. It is not Italian food of their was to improve
Not only that, spagh
food.Pizza engineering.
was actuChina.
in ally invented in
invented
and Other OT
city. It is not Italia New York
food. Not only that n food but Ame
rican
, spaghetti was
invented in Chin
and Content
a.
Social Computing B2B
Internal Applications,
Mobile and Email, More
Communications
82. Big Data ... Fast Data … All Data
ball and
ey, base
ying hock ns.
I like pla mountai ica
climbing rth Amer
ations in No surpassed and
nt civiliz playing hockey, baseball
that
The ancie eeIring marvels they invented
gin
like
had en becaus
climbing e mouney also
tains.
d Greece ye s eelier. Th prove ica
Rome anThe ancient ar I like play in North Amer
out 700 civilizationsing hock
" to im
the "0" ab engineerinmean eering. surpabaseball and
en g marvels that ey, ssed
had "gold eir engin bing
red the clim ted
discove y aspect ofGreece because they inven s.
th mountain
rk
in New Yo They also
ever Rome andThe ancient civilizati. n
abou
the "0" ally t ented
inv700 years eelier ons in Nort
t America
s actu had engibuen ing marto improveh America
Pizza wa n food neer means vels g."
RFID, Meters
discovered thee"gold hettiengineerinthat surpassed
not ItaliaRom spag wa
everythe "0"and Gree
city. It isNot only that, t of their ce because they inve
aspec
food. abou. ted in s
in Chinat 700 yearNew YorkThey nted
Pizza was actually inven
inventedovered the "gol
disc earlier. also
Documents
American
every aspect but etti den mean"
city. It is not Italian food of their was to improve
Not only that, spagh
food.Pizza engineering.
was actuChina.
in ally invented in
invented
and Other OT
city. It is not Italia New York
food. Not only that n food but Ame
rican
, spaghetti was
invented in Chin
and Content
a.
Cloud Computing
and Cloud Data
Social Computing B2B
Internal Applications,
Mobile and Email, More
Communications
83. Big Data ... Fast Data … All Data
ball and
ey, base
ying hock ns.
I like pla mountai ica
climbing rth Amer
ations in No surpassed and
nt civiliz playing hockey, baseball
that
The ancie eeIring marvels they invented
gin
like
had en becaus
climbing e mouney also
tains.
d Greece ye s eelier. Th prove ica
Rome anThe ancient ar I like play in North Amer
out 700 civilizationsing hock
" to im
the "0" ab engineerinmean eering. surpabaseball and
en g marvels that ey, ssed
had "gold eir engin bing
red the clim ted
discove y aspect ofGreece because they inven s.
th mountain
rk
in New Yo They also
ever Rome andThe ancient civilizati. n
abou
the "0" ally t ented
inv700 years eelier ons in Nort
t America
s actu had engibuen ing marto improveh America
Pizza wa n food neer means vels g."
RFID, Meters
discovered thee"gold hettiengineerinthat surpassed
not ItaliaRom spag wa
everythe "0"and Gree
city. It isNot only that, t of their ce because they inve
aspec
food. abou. ted in s
in Chinat 700 yearNew YorkThey nted
Pizza was actually inven
inventedovered the "gol
disc earlier. also
Documents
American
every aspect but etti den mean"
city. It is not Italian food of their was to improve
Not only that, spagh
food.Pizza engineering.
was actuChina.
in ally invented in
invented
and Other OT
city. It is not Italia New York
food. Not only that n food but Ame
rican
, spaghetti was
invented in Chin
and Content
a.
Cloud Computing
and Cloud Data
Social Computing B2B
Internal Applications,
Mobile and Email, More
Communications
Can easily overwhelm in-house resources
84. La conoscenza diventa
“sociale”
Verso la
“città intelligente”
Michele Vianello
http://www.michelecamp.it
86. social network
BIT!!!! gioco
CONOSCENZA
BIT!!!!
attività istituzionali
attività lavorative
Michele Vianello
http://www.michelecamp.it
87. Naturalmente mi
interessano le vostre
idee, i vostri
suggerimenti, le vostre
critiche.
Scrivetemi sul blog,
su Facebook, su il mio blog: http://www.michelecamp.it
Twitter..... michele.vianello0@aliceeposta.it
sono facilmente michele.vianello@vegapark.ve.it
reperibile in rete!!!!
88. Naturalmente mi
interessano le vostre
idee, i vostri
suggerimenti, le vostre
critiche.
Scrivetemi sul blog,
su Facebook, su il mio blog: http://www.michelecamp.it
Twitter..... michele.vianello0@aliceeposta.it
sono facilmente michele.vianello@vegapark.ve.it
reperibile in rete!!!!
Grazie per l’attenzione
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The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
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Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
