February
8-9, 2005 in
San Francisco, California
New Insights
in Decision Making
Monday, February
7, 2005
9:00am - 4:00pm
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• Aggregating abstract
information
• Centralization and control issues
• Integration and more integration
• Knowledge domain mapping
• Visualization technologies
• Data mining/filtering/searching
• Better search and query systems
• Sub-transactional data explosion
• Data policy, security, and protection
• Societal and political drivers
Today’s mass of data
will seem paltry when, among other things, RFID technology
becomes a reality. Organizations will have to content
with “data deluge” as they collect increasingly
detailed information on their operations. The spread
of sensor nets, from the factory floor to the forest
floor, will dramatically increase the amount of data
retrieved from embedded the intelligent devices. The
integration of location data, advanced location analytics,
and digital mapping will call for new, location-enhanced
business intelligence applications.
Although search engines have greatly
expanded access to information, our analytic tools
lag behind. We often want something we can’t
identify in advance, or require higher order patterns
in the data. Data visualization has remained an elusive
area; is it the real thing or is it over-rated, except
for the first “wow” reaction? Future data
mining must include the analysis of all types of data,
including any mix of database tables, free text, audio,
video, images, and clickstream data, without having
to invoke separate technologies, approaches, and tools.
As users (humans and agents) retrieve more information
from varied sources, the issue of information quality
increases in importance. When should we decide to use
(and reuse) information that is obtained from sources
such as unknown web applications?
At this conference, we’ll
look at the intelligent retrieval of information, along
with handling and attaching meaning to data. How do
we put a post-processing layer between the raw data
and ourselves when we don’t know what we’re
looking for or when there’s just too much data?
We’ll examine next generation knowledge domain
visualization tools, spatial multimedia and display
environments for geo-located information, and tackle
such questions as: will image-recognition technology
become advanced enough to be integral to many business
transactions, and will artificial intelligence finally
be able to solve real-world problems?
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Dr. Fran Berman, Director,
San Diego Supercomputer Center
Mr. Ian Black, Managing
Director, Aungate, a division of Autonomy Systems
Dr. Eric
Bonabeau, Chairman and
Chief Scientist, Icosystem Corporation
Dr. Paul
Borrill, President/CEO,
REPLICUS Software Corporation
Dr. Jim
Gemmell, Researcher, Microsoft
Research Media Presence Group
Mr. Jeff
Hawkins, Executive Director
and Chairman, Redwood Neuroscience
Institute
Mr. Tony
Jewett, CEO, and Mr. Andrew
Bradley, Founder, The Hive Group
Mr. Brewster
Kahle, Director, Internet
Archive
Mr. David
Kil, Chief Science Officer,
Humana, Inc.
Mr. Doug
Laney, Founder and Chief
Research Officer, Evalubase Research,
Inc.
Mr. Jeff
Pollock, VP Technology,
Network Inference, Inc.
Mr. Push
Singh, Researcher, Commonsense
Computing, MIT Media Lab
Dr. Andrew
Tomkins, Chief Scientist,
WebFountain
Dr. Andreas
Weigend, Independent Consultant
(formerly Chief Scientist at
Amazon)
Dr. David
Weinberger, Consultant
and Author, Small Pieces Loosely
Joined
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We make decisions all the
time – they are the heartbeat of any organization.
Organizations that can’t make decisions stagnate;
managers that consistently make the wrong decisions are
fired.
We know three things about making
decisions. First, it’s important to weigh all
your options. Second, the best way to weigh those options
is to apply a consistent set of rules. And third, experts
are people who have mastered the rules. We don’t
always live up to those guidelines, but we know we
should, and often feel guilty when we don’t.
Recently, we’ve discovered
a fourth thing about decision-making: all three of
those other things are wrong. Not only do we make both
gut and snap judgments, decisions made in that fashion
are often superior to decisions made with explicit
and rational processes. Furthermore, expertise consists
not in abiding by rules but in knowing when and how
to ignore them.
In fact, the big surprise turns
out to be that although decision-making is the heartbeat
of the organization, it has been more often taught
than studied in business schools, and whenever serious
observation of decision making has been undertaken,
it turns out to be far different from the theoretical
perfection of rational methods.
This workshop will introduce recent
research into how we actually make decisions, especially
under time pressure and with limited information (sound
like your job?); what the difference is between novice
and expert decision makers (experts know more stories);
which heuristics are good decision making strategies
(the old “Go with your first answer” idea
is surprisingly robust); and under what circumstances
groups make better decisions than individuals (decentralized
and self-interested groups often generate better answers
than collaborative ones.)
The workshop will alternate between
theory and exercises. It will include both a review
of some of the important research work in the last
decade (Gary Klein; The ABC Group), some of the recent
business literature on the subject (James Surowiecki’s
Wisdom of Crowds; Malcolm Gladwell’s Blink),
and a discussion of decision-making techniques and
dilemmas among the attendees.
All attendees at the workshop will
receive a copy of Blink, scheduled to be published
in January 2005.
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