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LEAN SIX SIGMA WORLD CONFERENCE ABSTRACT

Driving Business Value with AI, Big Data, and Agile Project Management

Presenter:

Sebastain J. Gould, Big Data Analyst, Arrow Electronics, Aurora, CO, USA

Keywords:

Machine Learning, Big Data, Agile Project Management

Industry:

Software/IT

Level:

Intermediate

In order to achieve actionable intelligence through the use of Big Data/Machine Learning/AI, costs and benefits need to be weighed carefully. Project investment does not necessarily correlate with the project return, even if the project is executed exactly as specified in the initial documents. However, through the blending of historic project management methodologies like CRISP-DM and newer innovations in Agile and Lean, we can help control the scope and cost of those projects.

The perceived opacity of cost and scope in Big Data and Machine Learning engineering efforts can be mitigated through the use of Agile-like project management which can still fit within traditional budget structure timelines and oftentimes can provide quicker, actionable insight through closer collaboration between AI/Big Data Engineers and the relevant business stakeholders.

Speech/Lecture will cover range of topics presented within the framework of a case study from a University of Denver Capstone Project; including data requirements, agile project management best practices, and methods of executing on Big Data/AI related projects to deliver real value in line of work to the business.


Participating Organizations at the Lean & Six Sigma  World Conference

Government Agencies

  • Department of Commerce
  • Department of Defense
  • Department of Energy
  • Department of Health & Human Svcs.
  • Department of Homeland Security

  • Department of Justice
  • Department of State
  • Department of the Treasury
  • Department of Transportation
  • Department of Veterans Affairs
  • Environmental Protection Agency
  • NASA
  • Naval Surface Warfare Center
  • Pentagon
  • U.S. Air Force

  • U.S. Army
  • U.S. Marine Corps
  • U.S. Navy
  • U.S. Veterans Affairs
  • United States Army Corps of Engineers

Corporations

  • AIG
  • Alcoa
  • AT&T
  • Bank of America Corp
  • BASF Corporation
  • Bayer Corporation
  • BMW
  • The Boeing Company
  • Bose Corporation
  • Bristol-Myers Squibb
  • Campbell Soup Company
  • Cardinal Health
  • Caterpillar
  • Chrysler Corporation
  • Chevron
  • Cisco Systems
  • Coca-Cola
  • Comcast
  • Daimler Chrysler
  • Disney
  • Dow Chemical


  • Dr Pepper 
  • Duracell
  • Dupont
  • Eastman Kodak
  • Facebook
  • Google
  • Exxon Mobil
  • Fedex
  • Ford Motor
  • General Electric 
  • General Motors
  • Gillette
  • Goodyear Tire
  • Hewlett Packard
  • Honeywell
  • Humana
  • IBM
  • Kohler
  • Lockheed Martin
  • Macy’s
  • M&M/Mars
  • ManpowerGroup
  • Maytag Appliances
  • Mercedes
  • Merck
  • Mitsubishi
  • Mobil Chemical
  • Motorola
  • NASA
  • Nestle 
  • Northrop Grumman
  • PepsiCo
  • Philip Morris International
  • PNC Financial Services Group
  • Pfizer
  • Pratt & Whitney
  • Procter & Gamble
  • Prudential
  • Raytheon
  • Rolls Royce Allison
  • Target
  • Johnson & Johnson 
  • Schindler Elevator Corporation
  • Schneider Electric
  • Shell
  • Siemens
  • Southwest Airlines
  • Staples
  • Tesla
  • Tiffany & Co.
  • Qualcomm
  • Underwriter Laboratories
  • UnitedHealth Group
  • United Technologies
  • Union Pacific
  • UPS
  • USAA
  • Verizon
  • Walmart
  • Wells Fargo
  • Westinghouse
  • Whirlpool
  • Xerox

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