Industry 4.0Vinci la concorrenza con la Business Intelligence predittiva
Simone Moncini
Business Analytics SalesIBM Italia
8 Giugno 2017
© 2017 IBM Corporation
LA LEGGENDA DEL TACCHINO INDUTTIVISTA
(B. Russel 1912)(
© 2017 IBM Corporation
GLI ALGORITMI «PREDITTIVI»
© 2017 IBM Corporation
LA
TEMPESTA
PERFETTA
E’
ADESSO
© 2017 IBM Corporation
LA
TEMPESTA
PERFETTA
E’
ADESSO
LA
TEMPESTA
PERFETTA
DISPONIBILITA’ DATI
(FABBRICA, SOCIAL, OPEN DATA, DWH...)
RIDUZIONE COSTI (HW, SW, LINEE,
DATI)
IOT INDUSTRY 4.0
DISPONIBILITA’ COMPETENZE (INTERNE, BP, UNIVERSITA’)
MATURITA’ TECNOLOGICA (PREDICTIVE,
PRESCRIPTIVE, COGNITIVE)
ESPERIENZE, REFERENZE
© 2017 IBM Corporation
Watson is creating a new collaboration between people
and computers that enhances, scales and accelerates
human expertise.
© 2017 IBM Corporation
Analytics Russian Doll
Learning models
Experience memory
Feedback mechanism
Rules
Optimization Models
Reccomendations
Predictive Models
Scores
Forecasts
Reports
Dashboards
Visualization
CognitiveTell me the best course of action
PrescriptiveWhat should I do to for the best outcome?
PredictiveWhat could happen?
DescriptiveWhat has happened?
© 2017 IBM Corporation
SOLO PREDICTIVE?
© 2017 IBM Corporationhttps://www.youtube.com/watch?v=HxNeseZ_1nc
© 2017 IBM Corporationhttps://www.thenorthface.com/xps
Interactive Shopping Experience
© 2017 IBM Corporation
WATSON COGNITIVE
VISUAL INSPECTION
© 2017 IBM Corporation
PREDICTIVE ANALYTICS NELL’AREA
FINANZIARIA AZIENDALE
(BUDGET, FORECAST, CPM)
© 2017 IBM Corporation
https://www.ibm.com/blogs/internet-of-things/worker-safety-and-wearables/
https://www.youtube.com/watch?v=mv_nRuzs5nk
COGNITIVE NELL’AREA DELLA
SICUREZZA SUL LAVORO
© 2017 IBM Corporation
http://ecc.ibm.com/case-study/us-en/ECCF-YTC04095USEN
http://ecc.ibm.com/case-study/us-en/ECCF-ASC12389USEN
PREDICTIVE IN AREA GESTIONE STAMPANTI
COGNITIVE IN AREA R&D – IL CASO HONDA
© 2017 IBM Corporation
PREDICTIVE MAINTENANCE COMPANY RANKING
© 2017 IBM Corporation
Blizzard scans its products once a minute and uses analytical
insights to detect defects or variances from production plans
53% reductionof manufacturing pass-through time
Smarter Analytics
Business Challenge: Blizzard experienced production downtimes related to defects that sporadically occurred in the course of
production. By improving its ability to detect
and prevent these defects, the company aimed to minimize production downtime related to manufacturing flaws.
The Smarter Solution: Blizzard’s response was to build a near real-time production management system that uses sensors to
capture in-process product data and embedded analytics to pinpoint manufacturing flaws as they happen. This enables floor
staff to address the problem proactively and keep downtime to a minimum. What’s more, by predicting which ski models are
prone to certain product defects, the company’s machine operators can change settings or procedures to circumvent them in
the future.
49% reductionof average inventory
40% reduction of inventory space requirements
© 2017 IBM Corporation
https://www.ibm.com/blogs/client-voices/water-efficiency-better-wine-gallo-winery/
http://www.metacortex.it/Soluzioni-applicative/Progetto-per-il-controllo-della-
ticchiolatura-del-melo
COGNITIVE IN AREA
AGRO-ALIMENTARE
COGNITIVE IN AREA AGRO-ALIMENTARE
UN ESEMPIO ITALIANO
© 2017 IBM Corporation
IL
CASO
KONE
© 2017 IBM Corporation
Three capabilities differentiate cognitive systems from
traditional programmed computing systems…
…. allowing them to interact with humans.
Cognitive systems
understand like humans do.
They reason. They understand
underlying ideas and concepts.
They form hypothesis with
confidence score. They
infer and extract concepts.
They never stop learning getting
more valuable with time.
Advancing with each new piece
of information, interaction, and
outcome. They develop
“expertise” assisted by humans.
© 2017 IBM Corporation
Watson go-to-market model
Large Enterprises Ecosystem (o/w startups)
First of a kind API Economy (50 Cognitive APIs by the end of 2016)
© 2017 IBM Corporation
Cognitive services via Watson API’s
Watson APIs: from cognitive services to business functions
Courtesy of photobrix.com
© 2017 IBM Corporation
Hello! Gordon's pizza?
No, signore qui è Google’s Pizza.
Quindi è un numero sbagliato? Mi scusi ...
Nessun errore, signore, Google ci ha comprato.
OK. Prenda il mio ordine, per favore
Bene signore, vuole il solito?
Il solito? Mi conosce?
Secondo la scheda di identificazione del chiamante, nelle ultime 12 volte ha ordinato pizza al formaggio, salsiccia,
crosta spessa.
OK! Questo è ...
Posso suggerire questa volta ricotta, rucola con pomodoro secco?
Che cosa? Odio le verdure.
Il suo colesterolo non è buono, signore.
Come lo sai?
Abbiamo incrociato il numero della sua linea fissa con il nome, attraverso la guida degli abbonati. Abbiamo il risultato dei
vostri esami del sangue negli ultimi 7 anni.
Okay, ma non voglio questa pizza! Già prendo le medicine ...
Mi scusi, ma non lei non ha preso regolarmente il medicinale. Dalla nostra banca dati, 4 mesi fa, ha acquistato solo una
scatola con 30 compresse contro colesterolo a Drugsale Network.
Ho comprato di più da un'altra farmacia.
Non risulta dall’estratto conto della sua carta di credito che sto visualizzando.
Ho pagato in contanti.
Ma non ha ritirato quel denaro in base alla suo estratto conto bancario ...
Ho un'altra fonte di denaro!!!
Questo non viene mostrato dall'ultimo modulo fiscale a meno che non l‘abbia acquistato con una fonte di reddito non
dichiarata.
Frasi irripetibili ..... ,-)
https://www.linkedin.com/in/simone-moncini-1649317a/
Grazie!
Simone Moncini
Business Analytics Sales
IBM Italia