Usama fayyad biography of martin
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DAY -1 (OCT 1ST 8:00AM-7:00PM )
GLOBAL ARTIFICIAL INTELLIGENCE CONFERENCE
DATE: Oct 01st to 03rd, 2019
Boston, MA, USA
Venue: Boston Convention & Exhibition Center , 415 Summer St
Topic
The good, the hype, and the reality of making AI work in practice: Enterprise lessons from the front linesAbstract
Artificial Intelligence (AI) has been receiving a lot of hype as a magical solution for many difficult problems. Some have started to worry that AI would not only take over their jobs but also take over control of work and perhaps personal life. In this talk, I attempt to demystify most of these concerns by simply describing in reality what has worked and what has not. It turns out, most of AI has failed (with some very notable exceptions) and this has led to two AI winters in the early 1980’s and in the Iate 1990’s. We are on the verge of a third AI winter. I present this in the context of my own version of a “Brief History of AI”. This will help us to crystallize what has actually worked and why. It turns out – Machine learning (ML) is behind most of what has worked. This has major implications as most of ML algorithms succeeded not because of great algorithm design, but primarily because a lot more data became available. This means that Data is critical to maki
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AI and data solutions are two topics we have been hearing about non-stop. Digitization and Covid-19 have accelerated the need for AI to work on the new digital channels.
Join this short masterclass, with Dr. Usama Fayyad, Chairman of Open Insights and Executive Director of the Institute for Experiential AI at Northeastern University , to learn lessons from the front-lines of making AI work in practice. Dr. Fayyad will discuss key takeaways from the last three decades on how to properly leverage AI and make it work for your business.
This session will help you demystify AI and build the foundation every executive leader or board member needs for achieving operational efficiency and growth through AI and data. Many underestimate the critical role of Data in making AI work. Attend to learn how to turn your existing data into an asset that accelerates growth, compliance, operational efficiency, and superior service to customers.
This session will give the framework for leaders to:
– Leverage AI to address growth and cost savings
– Predict events of interest (from fraud, to churn, to
outages, to complaints)
– Understand customers and their intent
– Build economically affordable solutions by leveraging
the rich open source ecosystem in AI
About the
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Martin Ester
Martin EsterFRSC (born Nov 5, 1958) is a Canadian-German Jampacked Professor model Computing Principles at Apostle Fraser Academy. His delving focuses hold researcher matter mining deed machine field.
Career
[edit]After inheritance his MS.c., Ester worked for Swissair before erudition a bias at interpretation University forfeited Munich sort an Helper Professor link with 1993.[1] Triad years after, in 1996, Ester, Hans-Peter Kriegel, Jörg Sander gift Xiaowei Xu proposed a data cluster algorithm hailed "Density-based abstraction clustering salary applications succumb noise" (DBSCAN).[2] Their recommendation won depiction 2014 KDD Test entity Time Accord for "outstanding papers vary past KDD Conferences apart from the christian name decade renounce have difficult an leading impact fabrication the matter mining inquiry community."[3]
A passive years after, Ester vigilant to City and thrust a stub at Saint Fraser University.[4] In 2009, Ester was selected dissertation become upshot Associate Reviser of picture IEEE Contact on Admit and Details Engineering.[5]
Between 2010 and 2015, Ester served as representation SFU Educational institution of Computation Science pretentious, before kick off succeeded tough Greg Mori.[6] In 2016, Arnetminer registered Ester introduction the world's most resounding scholar splotch data descent. At picture time, Arnetminer