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

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


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


Machine Learning, Big Data, Agile Project Management





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.

Please select the relevant Registrant Type from: a) Conference & Workshops; b) Exhibits & Sponsorship; c) Speakers & Co-Speakers

Submit your PowerPoint by
January 31, 2019
Speakers’ Orientation Meeting:
Tuesday, March 12, 2019,
6 PM-7 PM

Please download the Speaker Instructions here

Conference Chair's Message 

Joel Smith

Continuous Improvement is not just something a Lean Six Sigma (LSS) practitioner leads their organization in practicing, but is also a core competency of their professional makeup. That is why more and more innovative and leading companies are looking for leaders that use the LSS way of thinking in everything they do within their organization.

In this era of data science and machine learning, the ability to connect the dots for end to end solutions across the boundaries of people, process and systems is the key to success. This year’s conference is focused on making sure we are “continuing” our journey as practitioners. Whatever your level of experience, you will learn new concepts, new perspectives and network with the best in the industry.