AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jeff Eason, Salt Lake County Health Department
Sep 15, 2023
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Jeff Eason, project manager specializing in AI and ML projects, discusses lessons learned from AI project management at Salt Lake County Health Department, including challenges of data quality, governance, and privacy. The importance of data access and management in AI projects is emphasized, along with the value of learning from failures. Real business problems solved with AI, ROI of AI projects, and future integration of AI into daily lives are also discussed.
Starting with small business projects that deliver quick wins can build confidence and demonstrate value.
Focusing on the responsible and ethical use of AI is essential for trustworthy and beneficial AI applications.
Deep dives
The Future of AI: Integration and Enhancement
AI is expected to become more integrated into daily lives and business operations, enhancing decision-making processes and uncovering valuable insights from data. The technology will continue to play a role in automation, repetitive tasks, and addressing problems that humans may not easily identify.
Small Business Projects for Quick Wins
Starting with small business projects that deliver quick wins can build confidence and demonstrate value. It is important to align the solution with organizational goals and prioritize projects based on potential impact and resource allocation. Building a diverse team with data science expertise, domain knowledge, and project management skills is crucial for success.
Responsible AI and Ethical Considerations
As AI becomes more ingrained in society, focusing on the responsible and ethical use of AI is essential. It will be necessary for professionals specializing in AI methodologies to address biases, ensure equity, and operationalize AI projects responsibly. Transparency, continuous evaluation, and iteration are key principles in achieving trustworthy and beneficial AI applications.
Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.