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WCAC ICEAA June Luncheon: AI and Cost Estimation: Data Science’s Expanding Role in Cost Estimating
August 27, 2024 @ 12:00 pm - 1:00 pm
SUBJECT: WCAC ICEAA June Luncheon: AI and Cost Estimation: Data Science’s Expanding Role in Cost Estimating
PRESENTED BY: Kevin McKeel and Daniel Harper
TIME: Tuesday August 27, 2024 | 12:00 to 1:00pm eastern
SUMMARY:
Data Science has taken on an expanded presence in Cost Analysis. E.g., NLP is used to automate functional software sizing in commercial models. Data Science methods and tools such as NLP can be also used to extract data to identify spending trends and agency funding. We will present an overview of modern usages of data science, to include Machine Learning, AI and data visualization. We will also survey cost and budget data sources which are publicly available and ripe for analysis using data science methods.
This briefing was originally presented at the ICEAA Professional Development & Training Workshop.
Speakers: Kevin McKeel and Daniel Harper
Speaker Bios:
Kevin McKeel – Mr. Kevin McKeel has over 25 years of experience in software cost estimation. He is a CCEA and SAFe Architect and received the prestigious 2021 Technical Achievement of the Year award from ICEAA related to research of automated software sizing using AI and NLP. Mr. McKeel holds a Bachelor’s in Business Administration (Finance, ‘89) from James Madison University and a Master’s in Business Administration (Decision Systems, ’92) from The George Washington University.
Daniel Harper – Dan Harper, CCEA has over 25 years of professional experience and a passion for sharing knowledge throughout the federal cost and acquisition community. He founded and promotes the Cost FACTS Group, a networking forum of over 500 cost and acquisition professionals. Dan is a co-lead for the MITRE Cost CoP and serves as a founding member of the ICEAA Machine Learning Working Group. He has a Finance degree from Virginia Tech and a Masters in Technology Management from George Mason University.
Teams Link:
Meeting ID: 281 679 694 559
Passcode: 6m8ZJH