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Gabriele Bodda

from Berkeley, CA

Gabriele Bodda Phones & Addresses

  • Berkeley, CA

Work

  • Company:
    Sap labs
    Feb 2012
  • Address:
    San Francisco Bay Area
  • Position:
    Senior product manager, sap cloud for customer

Education

  • Degree:
    MBA
  • School / High School:
    University of California, Berkeley - Haas School of Business
    2008 to 2010
  • Specialities:
    Business Administration

Skills

Product Management • Product Marketing • Cloud Computing • Social Media • Banking • Agile Methodologies • Enterprise Software • CRM • Cross-functional Team Leadership • SaaS • User Experience • Mobile Applications • Analytics • Start-ups • Strategy

Languages

English • Italian • Spanish

Industries

Information Technology and Services
Name / Title
Company / Classification
Phones & Addresses
Gabriele Bodda
President
BUSINESS ASSOCIATION ITALY AMERICA
275 Battery St SUITE 2600, San Francisco, CA 94111
333 Market St, San Francisco, CA 94105
625 2 St, San Francisco, CA 94107

Us Patents

  • Predicting The Severity Of An Active Support Ticket

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  • US Patent:
    20150347906, Dec 3, 2015
  • Filed:
    Sep 19, 2014
  • Appl. No.:
    14/491594
  • Inventors:
    Gabriele Bodda - Palo Alto CA, US
    Ryan Currier - Palo Alto CA, US
    Venkitesh Subramanian - Palo Alto CA, US
    Prerna Makanawala - Mountain View CA, US
    Rei Kasai - Palo Alto CA, US
    Devasena Rajamohan - Palo Alto CA, US
    Amith Manoharan Chithambaram - Palo Alto CA, US
    Terence Chesire - Palo Alto CA, US
    Kiran Karadi - Palo Alto CA, US
  • International Classification:
    G06N 5/04
    G06Q 10/00
    G06N 7/00
  • Abstract:
    An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.
  • Providing Recommendations Through Predictive Analytics

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  • US Patent:
    20150348051, Dec 3, 2015
  • Filed:
    Jul 31, 2014
  • Appl. No.:
    14/447923
  • Inventors:
    Gabriele Bodda - Palo Alto CA, US
    Ryan Currier - Palo Alto CA, US
    Venkitesh Subramanian - Palo Alto CA, US
    Prerna Makanawala - Mountain View CA, US
    Rei Kasai - Palo Alto CA, US
    Devasena Rajamohan - Palo Alto CA, US
    Amith Manoharan Chithambaram - Palo Alto CA, US
    Terence Chesire - Palo Alto CA, US
    Kiran Karadi - Palo Alto CA, US
  • International Classification:
    G06Q 30/00
    G06F 17/30
  • Abstract:
    A recommendation engine analyzes metrics on an active support ticket to provide recommended solutions, technicians and offers. The recommendation can communicate with a predictive analysis engine to identify solutions, technicians, or offers that are highly correlated with the input parameters. In some embodiments, instructions can be provided to a client device for measuring a metric that is used as an input parameter of the predictive analysis engine. The customer or the technician can follow the instructions to measure the metric.

Resumes

Gabriele Bodda Photo 1

Senior Product Manager, Cloud Crm At Sap Labs

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Position:
Senior Product Manager, SAP Cloud for Customer at SAP Labs, Board Member at BAIA Business Association Italy America
Location:
San Francisco Bay Area
Industry:
Information Technology and Services
Work:
SAP Labs - San Francisco Bay Area since Feb 2012
Senior Product Manager, SAP Cloud for Customer

BAIA Business Association Italy America - San Francisco Bay Area since Oct 2009
Board Member

SAP Labs - San Francisco Bay Area Jul 2010 - Jan 2012
Solution Manager, Banking

foldier inc. - San Francisco Bay Area May 2009 - Dec 2009
Consultant

Sapient - Milan Area, Italy Apr 2007 - Jul 2008
Senior Associate, Technology
Education:
University of California, Berkeley - Haas School of Business 2008 - 2010
MBA, Business Administration
KTH Royal Institute of Technology, Stockholm 2002 - 2003
Politecnico di Torino 1998 - 2003
Laurea, Computer Engineering
Liceo Classico 1993 - 1998
Maturità Classica
Skills:
Product Management
Product Marketing
Cloud Computing
Social Media
Banking
Agile Methodologies
Enterprise Software
CRM
Cross-functional Team Leadership
SaaS
User Experience
Mobile Applications
Analytics
Start-ups
Strategy
Languages:
English
Italian
Spanish

Plaxo

Gabriele Bodda Photo 2

Gabriele Bodda

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Berkeley, CAPast: Senior Associate, Technology at Sapient

Googleplus

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Gabriele Bodda

Facebook

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Gabriele Bodda

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Friends:
Anna Marazzini, Laura Zanati, Marco Scotta, Gianluca Sinico, Roberta Carambia
Gabriele Bodda Photo 5

Gabriele Bodda

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