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Tatyana Mamut Phones & Addresses

  • San Francisco, CA
  • 16-15 Bellair Ave, Fair Lawn, NJ 07410 (201) 797-7274
  • 16-15 Bellair Ave APT 15, Fair Lawn, NJ 07410 (201) 797-7274
  • 2310 Piedmont Ave #201, Berkeley, CA 94704 (510) 649-8454
  • 1710 Walnut St, Berkeley, CA 94709
  • Princeton, NJ
  • Amherst, MA

Resumes

Resumes

Tatyana Mamut Photo 1

Head Of Product

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Location:
Ithaca, NY
Industry:
Internet
Work:
IDEO - San Francisco Bay Area since Jan 2012
Portfolio Lead, Design for Organization Change

IDEO Feb 2007 - Jan 2012
Transformation Guide/Project Lead

emergent thinking, a brand/futures consultancy 2004 - 2007
Founder

Leo Burnett 1996 - 2004
Head of Brand Planning/Brand Strategist

Frequency Marketing Inc 1999 - 2000
Director of Emerging Thought
Education:
University of California, Berkeley 2000 - 2007
PhD, Economic Anthropology
Amherst College 1992 - 1996
BA, Economics
Skills:
Strategy
Leadership
Design Thinking
Product Innovation
Product Management
User Centered Design
User Experience
Design Strategy
Proposal Writing
Change Management
Business Development
Customer Relationship Management
International Business
Start Ups
Agile Methodologies
Go To Market Strategy
Software As A Service
Enterprise Software
Management
Innovation Management
Culture
Innovation Consulting
Ethnography
Delivering Awesomeness
User Experience
Prototyping
Entrepreneurship
Brand Management
User Experience Design
Consulting
Cloud Computing
User Experience Design
Team Leadership
New Business Development
Crm
Strategic Planning
Mobile Devices
Interests:
Poverty Alleviation
Education
Economic Empowerment
Languages:
Russian
English
Certifications:
Scenario Planning
Vinyasa Yoga Teacher
Tatyana Mamut Photo 2

Tatyana Mamut

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Position:
Portfolio Lead, Design for Organization Change at IDEO
Location:
San Francisco Bay Area
Industry:
Management Consulting
Work:
IDEO - San Francisco Bay Area since Jan 2012
Portfolio Lead, Design for Organization Change

IDEO Feb 2007 - Jan 2012
Transformation Guide/Project Lead

emergent thinking, a brand/futures consultancy 2004 - 2007
Founder

Leo Burnett 1996 - 2004
Head of Brand Planning/Brand Strategist

Frequency Marketing Inc 1999 - 2000
Director of Emerging Thought
Education:
University of California, Berkeley 2000 - 2007
PhD, Economic Anthropology
Amherst College 1992 - 1996
BA, Economics
Skills:
Talent Development
New Business Development
Innovation Consulting
Brand Communication
Futures
Ethnography
Market Research
Team Leadership
Strategy
Proposal Writing
Change Management
client relationship building
Intellectual Property Development
Organizational Change
System Design
Interactive Projects
Design Thinking
Talent Management
Leadership
Organizational Transitions
Talent Strategy
Recruiting
Innovation Management
Experimentation
Honor & Awards:
IDEA/Businessweek Gold award in Design Strategy for HCD Toolkit. "Greater Good" award for Kellogg's Special K brand re-positioning. National Science Foundation (NSF) multi-year graduate fellowship. Soros Fellowship for New Americans. Journal of Post-Soviet Affairs Grant.
Languages:
Russian

Publications

Us Patents

Automated Generation Of Software Applications Using Analysis Of Submitted Content Items

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US Patent:
20210117164, Apr 22, 2021
Filed:
Dec 23, 2020
Appl. No.:
17/133021
Inventors:
- Seattle WA, US
Kenneth Chen - Palo Alto CA, US
Tatyana Mamut - San Francisco CA, US
Ian Scott Eslick - San Francisco CA, US
Paul J. Furio - Seattle WA, US
Scott Peter Perket - Oakland CA, US
Assignee:
Amazon Technologies, Inc. - Seattle WA
International Classification:
G06F 8/35
G06F 8/60
G06F 8/71
G06F 8/20
Abstract:
Based on an analysis of example content items, a proposed initial version of an application to be generated on behalf of a client is determined. At least a portion of a software program implementing the application is generated, and an indication of the software program is provided to the client. Based on input received from the client, additional operations associated with the program are initiated.

Network-Accessible Data Management Service With Web-Of-Sheets Data Model

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US Patent:
20200364400, Nov 19, 2020
Filed:
Aug 7, 2020
Appl. No.:
16/987926
Inventors:
- Seattle WA, US
Joseph Rozenfeld - San Carlos CA, US
Tatyana Mamut - San Francisco CA, US
Ian Scott Eslick - San Francisco CA, US
Assignee:
Amazon Technologies, Inc. - Seattle WA
International Classification:
G06F 40/18
G06F 21/62
G06F 16/22
Abstract:
At a data management service, a child template associated with a parent group of one or more cells of a first data sheet is stored. In response to detecting that a parent cell has been added to the parent group, a particular child data sheet is instantiated automatically in accordance with the template. In response to a change to a value in a first cell of the child data sheet, a corresponding value of a cell of the first data sheet is modified.

Simplified Entity Lifecycle Management

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US Patent:
20200366581, Nov 19, 2020
Filed:
Apr 6, 2020
Appl. No.:
16/841313
Inventors:
- San Francisco CA, US
Eric HAUSER - San Francisco CA, US
Matthew John FLECKENSTEIN - Mukilteo WA, US
Tatyana MAMUT - San Francisco CA, US
Adam BOSWORTH - San Francisco CA, US
International Classification:
H04L 12/26
G06T 11/20
G06F 8/00
G06F 8/34
G06Q 10/06
G06F 8/38
G06Q 50/00
G06Q 10/00
G06F 3/0482
G06F 3/0484
G06F 9/50
Abstract:
The technology disclosed offers a declarative framework that implements a machine for multi-step progression of interaction with an entity. The declarative framework is usable over and over for a broad range of applications because it provides a simple rule-based authoring tool that can be used for specifying different elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Once defined, the state machine is automatically generated and implemented based on the declarative input provided by a non-technical user.

Processing Events Generated By Internet Of Things (Iot)

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US Patent:
20200082340, Mar 12, 2020
Filed:
Jun 18, 2019
Appl. No.:
16/444220
Inventors:
- San Francisco CA, US
Tatyana Mamut - San Francisco CA, US
Arthur Ping-Tak Che - San Francisco CA, US
Tiffany Joy Chin - San Mateo CA, US
Amy Kar Sin Poon - Pleasanton CA, US
Andrew Layman - Bellevue WA, US
International Classification:
G06Q 10/10
G06F 1/30
Abstract:
The technology disclosed relates to processing events generated by Internet of Things (IoT) devices. In particular, it relates to storing a machine-readable declarative specification of stateful event processing of an automated multi-step progression of monitoring of Internet of Things (IoT) devices that generate events. It includes compiling into tangible memory, in response to the declarative specification, a state processing network that implements a multi-step progression of monitoring events generated by the IoT devices. The state processing network implements both the time based transition triggers and the event based transition triggers after being initiated by the IoT devices. Further, data structures, which record monitoring status of particular IoT devices, are compiled. Finally, the state processing network further selects an alternative action to trigger, and triggers the selected action using at least some data from a particular event being processed.

Throttling Events In Entity Lifecycle Management

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US Patent:
20170228253, Aug 10, 2017
Filed:
Aug 18, 2016
Appl. No.:
15/240729
Inventors:
- San Francisco CA, US
Adam Bosworth - San Francisco CA, US
Tatyana Mamut - San Francisco CA, US
Assignee:
salesforce.com, inc. - San Francisco CA
International Classification:
G06F 9/48
G06F 9/54
Abstract:
The disclosed declarative framework implements a machine for multi-step progression of interaction with an entity. The framework is usable for a broad range of applications—providing a simple rule-based authoring tool for specifying elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Case-status states, a first filtering condition, and a count parameter that specifies a limit on a number of times within a time period in excess of which additional events with characteristics that match will be ignored or discarded are usable to determine whether to ignore or process an incoming event—throttling the rate at which certain actions occur. A workflow engine gets loaded with instructions derived from the states and event filtering conditions, for handling incoming machine-generated events. Once defined, the state machine is automatically generated and implemented based on the declarative input provided.

Simplified Entity Lifecycle Management

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US Patent:
20170083175, Mar 23, 2017
Filed:
Nov 9, 2015
Appl. No.:
14/936141
Inventors:
- San Francisco CA, US
Eric Hauser - San Francisco CA, US
Matthew John Fleckenstein - Mukilteo WA, US
Tatyana Mamut - San Francisco CA, US
Adam Bosworth - San Francisco CA, US
Assignee:
SALESFORCE.COM, INC. - SAN FRANCISCO CA
International Classification:
G06F 3/0482
G06F 9/50
G06F 3/0484
Abstract:
The technology disclosed offers a declarative framework that implements a machine for multi-step progression of interaction with an entity. The declarative framework is usable over and over for a broad range of applications because it provides a simple rule-based authoring tool that can be used for specifying different elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Once defined, the state machine is automatically generated and implemented based on the declarative input provided by a non-technical user.

Processing Events Generated By Internet Of Things (Iot)

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US Patent:
20170083386, Mar 23, 2017
Filed:
Apr 1, 2016
Appl. No.:
15/089097
Inventors:
- San Francisco CA, US
Tatyana Mamut - San Francisco CA, US
Arthur Ping-Tak Che - San Francisco CA, US
Tiffany Joy Chin - San Mateo CA, US
Amy Kar Sin Poon - Pleasanton CA, US
Andrew Layman - Bellevue WA, US
Assignee:
salesforce.com, inc. - San Francisco CA
International Classification:
G06F 9/54
G06F 1/32
Abstract:
The technology disclosed relates to processing events generated by Internet of Things (IoT) devices. In particular, it relates to storing a machine-readable declarative specification of stateful event processing of an automated multi-step progression of monitoring of Internet of Things (IoT) devices that generate events. It includes compiling into tangible memory, in response to the declarative specification, a state processing network that implements a multi-step progression of monitoring events generated by the IoT devices. The state processing network implements both the time based transition triggers and the event based transition triggers after being initiated by the IoT devices. Further, data structures, which record monitoring status of particular IoT devices, are compiled. Finally, the state processing network further selects an alternative action to trigger, and triggers the selected action using at least some data from a particular event being processed.

Simplified Entity Engagement Automation

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US Patent:
20170085445, Mar 23, 2017
Filed:
Nov 3, 2015
Appl. No.:
14/931658
Inventors:
- SAN FRANCISCO CA, US
Eric Hauser - San Francisco CA, US
Matthew John Fleckenstein - Mukilteo WA, US
Tatyana Mamut - San Francisco CA, US
Arthur Ping-Tak Che - San Francisco CA, US
Tiffany Joy Chin - San Mateo CA, US
Amy Kar Sin Poon - Pleasanton CA, US
Assignee:
salesforce.com, inc. - SAN FRANCISCO CA
International Classification:
H04L 12/26
G06F 3/0484
G06T 11/20
G06F 17/30
Abstract:
The technology disclosed offers a declarative and visualization framework that implements a state machine for multi-step progression of interaction with an entity. The declarative framework is usable over and over for a broad range of applications because it provides a simple rule-based authoring tool that can be used for specifying different elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Once defined, the state machine is automatically generated and visually implemented based on the declarative input provided by a non-technical user.
Tatyana Mamut from San Francisco, CA, age ~50 Get Report