COIN / ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations, Aachen 2010

Accenture Case Study: Enterprise Collaboration & Knowledge Management through Machine Learning and Semantic Technologies

author: Divna Djordjevic, Accenture Technology Labs
published: Nov. 24, 2010, recorded: October 2010, views: 1194

Slides

Slides
0:00	Enterprise Collaboration & Knowledge Management
0:17	Accenture Technology Labs
1:31	ACTIVE
2:22	Accenture ACTIVE Use Cases
2:26	Enterprise Tasks : Business processes and roles
6:31	Accenture Use Cases
7:41	Requirements Gathering Process - 1
10:00	Requirements Gathering Process - 2
10:43	Requirements
11:22	What needs to be done to validate ACTIVE technologies?
13:00	Data Collection Activities
15:36	Prototype Development
16:25	Content Analysis Components
17:16	Expert Search: Entity Retrieval & Ranking
19:29	Expert Search: Online experiments
23:48	Graphics Classification & Search
25:12	Overview of Approach
25:35	Activated SABLE prototype
26:41	More Like This strategy
26:59	Live System Deployment
27:50	- Questions

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Description

A number of enterprise tasks, such as Proposal Writing, Marketing, Selling/Estimation, Risk management and other are performed by the consulting companies every day.

Accenture ACTIVE goals include:

- motivation, influence, and validation of the research in ACTIVE
- improvement of the collaboration among knowledge workers for Accenture and its clients.

Process and context sensitive search & browsing and Collaborative proposal development support are the Accenture use cases in ACTIVE.

The videolecture also discusses the privacy preserving for protecting enterprise data and an applied example: process–specific and context sensitive knowledge work.