Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast]
Jan 12, 2024
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Christina Kucek, CPMAI certified AI professional, discusses challenges in implementing intelligent automation projects, importance of data management strategy, the future of actionable AI and its impact on employee engagement, AI applications in public and commercial sectors, and progress in autonomous business processes.
2024 will be the year of actionable AI, improving employee engagement and customer service.
When implementing AI, focus on the minimum viable product and data management strategy.
Deep dives
The Future of AI: Actionable AI and Integrated Systems
The guest predicts that 2024 will be the year of actionable AI, where AI solutions can integrate multiple systems and perform multiple steps to fulfill requests. This will improve employee engagement and allow for more effective customer service. In the public sector, AI can help with automation, digitizing processes, and predicting and planning services. In the commercial sector, AI can enhance productivity and reduce waste for integrated teams of people and technology.
Challenges in AI Implementation: Starting Small and Data Management
When implementing AI, it's important to start small and focus on the minimum viable product to avoid scope creep. The guest emphasizes the importance of managing data challenges, such as volume, veracity, velocity, and variety. Data management strategy and data governance are key to implementing AI models effectively, especially when dealing with large amounts of data in multiple locations.
Lessons Learned in AI Projects: Iterative Approach and Continuous Maintenance
One of the key lessons learned is to work iteratively and avoid trying to do too much too soon. Breaking down goals into manageable pieces and focusing on the minimum viable product is essential. Another challenge highlighted is the importance of curating human-in-the-loop feedback to ensure the model's accuracy. The guest also emphasizes the need to align business problem objectives with available data and create realistic timelines. Additionally, maintaining and continuously nourishing AI models is crucial for them to provide accurate results over time.
Companies of all sizes in just about every single industry across the globe 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 in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.