Making Wise Technology Investments Using the Six Machine Learning Essentials
TimeThursday, September 1612:30pm - 1:15pm CDT
DescriptionMachine Learning (ML) and Artificial Intelligence (AI) are generally the response when professionals are asked how technology will improve business processes and organizational outcomes. Although ML and AI are being implemented more than ever to achieve goals in almost any industry, there is a strong, common misconception that ML and AI solutions are just “plug-and-play”. In fact, the effective adoption of such technological solutions requires cultural shifts in how we do business which go beyond the traditional “4 V’s of big data”. Unfortunately, many organizations realize this truth only after investing significant resources into a project, often at a loss, manifested in terms of time, money and technical debt. Later it is discovered that the project fails due to lack of implementation oversight, or the project initially succeeds but resources do not exist or are too expensive to support it long term or at the scale required for optimal utilization. During this talk, we address this phenomenon by presenting guidelines to assess ML projects within a concise set of requirements. Inspired by industry best practices and adapted to address government technology challenges, the six “Machine Learning Essentials” provide criteria for use when planning ML projects to promote each project’s purpose, impact, life cycle management, and reliability.
Applied Research Mathematician/Technical Director