“La Trasformazione Digitale delle Aziende” Gli smart products e la “servi za on” IBM oggi nel mondo
Fondata nel
1911
Presente in 175 Paesi
380.000 dipendenti
Ricavi 2014
92.8$B Sede centrale ad Armonk, NY www.ibm.com
In oltre 100 anni di vita, IBM ha contribuito al progresso e all’innovazione di imprese, istituzioni pubbliche e cittadini. Ricerca e Sviluppo
Centri di Ricerca IBM 5.4 B$ in R&D (6% del fatturato) Dublin
Almaden Zurich Beijing/Shanghai New York Haifa Tokyo Austin 13 centri di Ricerca in 5 Delhi/Bengaluru continenti, Nairobi fra cui quello di Zurigo São Paulo/ Johannesburg Melbourne Rio de Janeiro guidato dall’italiano Alessandro Curioni
Per 22 anni consecu vi l’impresa leader nei breve 5 premi Nobel
breve U.S. nel 2014 7.534
8.500 IBM inventori in 43 paesi
Concentra in aree strategiche: Cloud Compu ng, Analy cs, Mobile, Social, Security e Cogni ve Compu ng. Una tradizione di ricerca di altissimo livello
1944: 1948: 1956: 1957: 1964: 1966: 1967: 1970: 1971: Mark 1 SSEC RAMAC FORTRAN System/360 One-Device Fractals Rela onal Database Speech Recogni on Memory Cell
Nobel Prizes: 1973: 1979: 1980: 1986: 1987: 1990: 1994: 1993: RS/6000 SP Winchester Disk Thin Film Recording RISC Scanning Tunneling High Temperature Superconduc vity Chemically SIGe 1996,97: Deep Blue Heads Microscope Amplified Photoresists
1997: 1998: 1998: 2004: 2006: 2008: CopperInterconnectWiring Silicon-on-Insulator Microdrive 2002: Blue Genethe fastest 5-stage Carbon Nanotube Ring World’s First Petaflop Supercomputer Millipede supercomputerin the world Oscillator IBM Watson inaugura l’era del Cognitive Computing
IBM Watson è il primo sistema che: 1 Capisce il linguaggio naturale e umano
2 Genera e valuta l'ipotesi migliore per o enere la risposta giusta
3 Impara basandosi sulle selezioni e sulle risposte dell'utente 14 febbraio 2011: IBM Watson partecipa alla trasmissione televisiva statunitense Jeopardy! battendo due concorrenti campioni delle passate edizioni del programma rispondendo a domande fatte con linguaggio naturale con velocità e precisione. Watson: dalla ricerca alla creazione di un nuovo mercato
2015 2012 2014 08/11 02/11 2006
IBM Watson Health IBM Watson Group 2.000 professionisti, Cloud Una piattaforma Watson è pronto nuovi servizi e per diversi settori applicazioni erogati via aperta e sicura a disposizione di cloud, $1B di di industria medici, ricercatori, Watson per la sanità investimento Le prime soluzioni in Nuove soluzioni assicurazioni e ambito sanitario sono business analytics aziende che si Il test di Watson disponibili sul mercato Watson presto occupano di soluzioni Ricerca e Sviluppo Partecipa e vince alla disponibili per i per la salute e il Progetto di Ricerca trasmissione televisiva clienti benessere. Jeopardy! IBM e i suoi clienti a livello globale
+90 tra le 100 banche più 9 delle 10 più importanti IBM lavora con 9 delle 10 80% dei 50 rivenditori più importanti del mondo compagnie petrolifere e del più importanti aziende importanti del mondo utilizzano le soluzioni IBM gas nel mondo sono clienti elettroniche del mondo gestiscono il loro business per gestire le proprie attività IBM su sistemi informatici IBM
92 delle 100 più importanti 22 delle 25 più importanti IBM lavora con 9 delle 10 Più di 225 governi e enti locali organizzazioni sanitarie al aziende di largo consumo più importanti aziende di in tutto il mondo si affidano a un mondo lavorano con IBM utilizzano soluzioni IBM per telecomunicazione nel mainframe IBM per supportare le gestire il proprio sistema mondo Polizia, i Vigili del Fuoco, utility, informatico servizi igienico-sanitari, parchi e ospedali Innovation and Product Development, what’s the trend?
1980 2015 Trend?
Promo Renault anni 80 Promo Ford a uale Promo Car2Go a uale h ps://www.youtube.com/watch?v=v5naJtm0Eys h ps://www.youtube.com/watch?v=YKelrreOMfE h ps://www.youtube.com/watch?v=o0AdDDv_lAE
Product and Consumer (Client, Customer or User, perhaps Citizen)?
8 Innovation and Product Development, what’s the trend?
Ipotesi nel 2008 • Proporre e vendere auto come “flo e ges te” (fleet management) • Proporre Hardware/Computer come flo e ges te o “a consumo” (pay per use) • Proporre So ware/applica vi a consumo (“on demand”) • Proporre il prodo o “polizza di assicurazione” a consumo (payasyoudrive) • Proporre il prodo o per il supermercato (CPG) come “scaffale ges to dal fornitore” (eventualmente anche con e che a personalizzata=private labeling) • Proporre un aereo civile (ma anche militare!) a raverso “costo per ora di volo”(pay as you fly) • Proporre una macchina movimento terra (o macchina utensile?) a “ore di u lizzo” (pay as you work) • Proporre il servizio di manufacturing invece della fornitura di impian /macchine produ ve (pay as you need) • Proporre una centrale ele rica come “KWH eroga ” (in funz ione dell’u liz zo reale nel tempo) anziché una centrale più un contra o di manutenzione • Proporre il “servizio” di potersi creare il prodo o personalizzato(pro - sumership)...... • Vendere il prodo o come “esperienza”(fashion, luxury... HOW, AND WHY NOW? Data is transforming industries and professions.
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 10 CONSIDER: HEALTHCARE DATA GOVERNMENT & EDUCATION DATA Data flows from every device, 99% 88% 94% 84% replacing guessing and growth by 2017 unstructured growth by 2017 unstructured approximations with precise information. Yet 80% of this Healthcare data comes from sources Government & education data comes data is unstructured; therefore, such as: from sources such as: invisible to computers and of limited use to business.
Patient Electronic Test Results Vehicle Fleet Traffic Student Sensors Medical Sensors Sensors Evaluations Records By 2020, UTILITIES DATA MEDIA DATA
93% 84% 97% 82% 1.7 MB growth by 2017 unstructured growth by 2017 unstructured
of new information will Utilties data comes from sources such Media data comes from sources such be created every as: as: minute for every human being on the planet. Utility Employee Location Data Video Images Audio Sensors Sensors and Film
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 11 HOW, AND WHY NOW? The world is being reinvented in code.
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 12 CONSIDER: 100,000,000 The world is being rewritten in lines of code in a new car software code, and cloud is the of B2B platform on which the new digital 5,000,000 collaboration lines of code in smart appliances will take place builders—from developers to 1,200,000 50% business professionals—are lines of code in a smartphone through web reimagining everything from APIs next year. banking to retail to healthcare. 80,000 lines of code in a pacemaker
Smart TVs represented 27% of all TV Sensors for industrial sales in 2012; by 2018, they will asset monitoring and represent 82%. management will grow from just over 15M units in 2014 to over 40M units in 2018
By 2020, there will be 925M smart meters installed Smart LED lighting will grow from 6M worldwide, more than double the 400M units in 2015 to 570M units in 2020, used Code Tools in 2014. for safety communication, health, pollution and personalized services. Analytics Data APIs
Revenues for smart grid sensors will grow ten-fold from 2014 to 2021. By 2017, there will be 1B connected Smart traffic sensors and other things in smart homes, including devices installed in smart cities will appliances, smoke detectors and grow from 237M units in 2015 to 371M cameras. in 2017.
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION 13 Technology Trends have been applied to complex ecosystems management
§ Agire nel modo più opportuno a livello di nodo intermodale e O • Standard Operating Procedure Act individuale, del passeggero e C C • End User App Based Workflow degli operatori, anche in caso di p • Intercompany Workflow grandi eventi o emergenze e o o • API data exchange n • Operational Framework Prediction g m Analyse § Applicare strumenti di analisi e • Situation Awareness di previsione per comprendere n p • Analytics e prevedere l’evoluzione dei I I u • Big Data fenomeni a livello operativo e n • Operations Monitoring di pianificazione n t t • KPI and Cockpit Capture o i I • Event Management § Monitoraggio real time dei • Data Enrichment sistemi, delle flotte, dei flussi di v v n • Data Model traffico e della mobilità in a e g • Stream Compu ng generale • Cloud Enabled Internet of Things Connect t § Assicurare la connettività tra • Message Protocols (EAI) I dispositivi e sistemi o • Mobile and Internet of Things n
14 Actual Benefits Aircraft Engine Manufacturer - Analytics Case
An aircraft engine manufacturer uses predictive analytics to prevent costly engine events and operational disruption
100% prediction success of aircraft-on- the-ground events for high-risk engines
97% accuracy in predic ng engine events that lead to airline disrup on
USD150 million Business challenge: This US-based aircra engine manufacturer collects a vast amount of data about its engines through in extrapolated cost various databases and sensors, but it had no holis c way of integra ng and analyzing the informa on to proac vely savings to airlines if address engine issues. predic on had been available in the The smarter solu on: An analy cs pla orm creates predic ve models that automa cally alert the manufacturer to previous year different types of impending engine events. These alerts, and a 360-degree dashboard visualiza on of engine-fleet health and risk status, enable the company to take proac ve measures such as ordering and arranging preven ve maintenance. These can help prevent a range of engine issues and poten ally help the company’s customers avoid millions of dollars in costs associated with grounded planes. 15 Airbus: Servitization is enabled by Internet Of Things, Analytics and Cloud
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16 Business Model
Airbus: what services to whom
TITOLO DOCUMENTO - DATA - (c) ASAP SMF
17 „Connected Machinery“ Concept & Market
John Deere and AGCO, for example, are beginning to connect not only farm machinery but irriga on systems and soil and nutrient sources with informa on on weather, crop prices, and commodity 5. Systems of Systems futures to op mize overall farm performance. Weather Maps Weather Forecast
Rain, Humidity, Weather Data Temperature Sensors Applica on 3. Smart, 4. Product System Weather Connected Data Product System 2. Smart Planters Product Seed Performance 1.Product Database
+ Farm Seed Farm Combine Farm Seed Equipment Equipment Management Op miza on Database + + System Harvester System System System Seed Op miza on Applica on
Tillers
Irriga on System Field Irriga on Sensors Precise Fonte: Michael E. Porter - James E. Heppelmann Applica on Agriculture Harward Business Review Irriga on Nodes IoT - le nuove possibilità offerte dai prodotti connessi
I benefici per le aziende manufa uriere 1. Nuovi Modelli di Business – “Servi za on” 2. Customer In macy 3. Sviluppo Prodo o 4. Leadership dell’ ecosistema
Fonte: Michael E. Porter - James E. Heppelmann Harward Business Review Trend di innovazione nei prodotti e servizi industriali
Worldwide IDC Manufacturing Insights' Product and Service Innovation 2015 Decision Imperatives
1. By 2017, 70% of global manufacturers will offer connected 3. By 2017, 40% of global manufacturers will make analy cs a top PLM products, driving the need for systems engineering and a investment, driven by product complexity, systems engineering, and cross-enterprise product innova on pla orm. mul disciplinary PLM. 2. By 2018, 40% of the top 100 discrete manufacturers and 20% 4. By 2016, 50% of new product life-cycle management (PLM) ini a ves of the top 100 process manufacturers will provide product- will be cloud and subscrip on models because of the need to as-a-service pla orms. collaborate globally and respond more quickly to customer demand. 5. By 2017, 60% of discrete manufacturers will leverage manufacturing process planning and MES data in PLM systems to ensure product and process quality. 6. By 2017, 75% of global manufacturers will use idea on and social media tools in PLM systems to extend innova on across the value chain to customers. 7. By 2016, only 20% of manufacturers will have an integrated approach to delivering service that allows them to directly measure its impact on customer loyalty and revenue. 8. By 2017, 75% of leading manufacturers will respond to a rise in customer centricity by increasing standards for customer service excellence and doubling investment in a ersales, customer-facing technology. 9. By 2015, warranty service will rise to strategic importance as manufacturers use warranty and service touch points to boost profit margins by 5 percentage points. 10. By 2018, 65% of leading manufacturers will be leveraging informa on shared in the service clouds to improve service effec veness and resolve channel conflict. Connected Car
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21 Ecosystem
Platform and ecosystem
22 Three Keywords: IoT, Analytics, Cloud
Daimpler Interview on Car2Go technologies h ps://www.youtube.com/watch?v=70HLQ-17WAg
Customers Dealers API API Developers API Service provider API Connected Managed Interfaces API Pla orm Owner Devices Cloud More Things
Real-Time Big Data Use Cases Analysis SecureSecure MobileMobile More than 2,000 HMI / Use Cases IPIP NetworkNetwork Data Services Integration standard interfaces
Platform as a Service (PaaS) Client Device Registration & Connectivity
Open Source IVI Stack & Kernel
Hardware
23 23 Ecosystem
What PSA Says
Today, PSA Peugeot Citroën is seeking to bring telema cs units into widespread use, so that all its vehicles are able to communicate. To meet the expecta ons of increasingly connected consumers, the Group is developing a new genera on of open-ended telema cs pla orms…. the new pla orms are designed to deliver real digital con nuity with a smartphone or tablet. This technology will make it possible to quickly roll out new services along with an app ecosystem.
From 2017, PSA Peugeot Citroën will launch innova ve solu ons to posi on Peugeot, Citroën and DS vehicles at the heart of the internet of things. For example, a technology such as Qeo could enable a dialogue with domes c appliances and remotely control, for example, the hea ng or television.
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