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© 2012 IBM Corporation
ed il LEAN IT
Evento CUOA sul LEAN ITAltavilla Vicentina, 20 Novembre 2012
Fabrizio Renzi, Direttore Tecnico IBM Italia
Fabrizio_renzi@it.ibm.com
© 2012 IBM Corporation2
Gli studi IBM confermano il bisogno del miglioramento continuo (lean)
1. Companies must become more client centric by leveraging sophisticated insights
2. Extensive partnering is enabling CEOs to make radical innovation. Source: IBM’s 2012
CEO Survey, 1,700 CEO’s
CMO’s top concerns:1.Data Explosion2.Social Media3.Growth of channel
choices4.Shifting demographics
CIO’s top focus:
1. Insight & Intelligence
2.Client Intimacy
3.Virtualization
4.Cloud Computing
*Source: Top 200 global bank survey, IBM Institute for Business Value, The Economist Intelligence Unit.
© 2012 IBM Corporation3
Standardization enabled by
integrated service management
Lower IT Operating and Capital Costs
Capex to Opex
Fast access to current technology
and powerful computing
Removing IT complexity from
end users
Fine grained IT services with rapid
provisioning
Che cosa ci chiedono nostri clienti per l’IT: (lean)Cost Savings + Innovation = Value Creation
© 2012 IBM Corporation4
La visione IBM per l’ICT nel 2012.
Smarter Planet
Analytics& Big data
CloudComputing
New technologies
Social & Mobile
� Oltre 3.200 ricercatori e
scienziati
� 5 premi Nobel � Da 18 anni prima società
negli Stati Uniti per
numero di brevetti(circa 53.000 in 18 anni,
5.896 nel 2010)
Spese annuali in:� R&D 6 B$
� Acquisizioni sfw 6-10 B$
� New technologies investment. 5-8 B$
IBM a supportodell’innovazione con R&D e acquisizioni
© 2012 IBM Corporation5
Analytics sono definiti come l’uso dei dati e del calcolo per AIUTARE a prendere decisioni smart. Sono sempre più usati per le aree dellagestione del rischio, payments, CRM, interactive marketing, couponing, trading, finance, strategic planning….…..
Data
Historical
Simulated
Text Video, Images Audio
� Data instances
� Reports and queries on data aggregates
� Predictive models
� Answers and confidence
� Feedback and learning
Decision point Possible outcomes
Option 1
Option 2
Option 3
5
© 2012 IBM Corporation6 6
* Truthfulness, accuracy or precision, correctness
La 4 dimensione dei Big Data l’affidabilità del dato.
Volume Velocity Veracity*Variety
Data at Rest
Terabytes to exabytes of existing
data to process
Data in Motion
Streaming data, milliseconds to
seconds to respond
Data in Many Forms
Structured, unstructured, text,
multimedia
Data in Doubt
Uncertainty due to data inconsistency& incompleteness,
ambiguities, latency, deception, model approximations
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