AI Today Podcast: CPMAI in the Real World, Interview with Dr. Philipp Schlenkhoff, CPMAI
Nov 15, 2023
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AI expert Dr. Philipp Schlenkhoff discusses the value of incorporating the CPMAI methodology into AI projects. They explore the evolving landscape of AI tools, the future of AI in reshaping work and interactions, and the concept of CPMI for running successful AI projects.
AI 2.0 will revolutionize the way we work and positively impact workforce scalability, but human involvement is crucial.
Implementing a solid AI strategy and following the CPMI methodology can effectively address challenges in AI implementation.
Deep dives
The Impact of AI on Businesses
The future of AI holds significant potential to transform the way businesses operate and interact. Similar to how the internet revolutionized knowledge distribution, AI facilitates the generation of information at almost no cost. AI 2.0 is on the horizon, with advancements such as generative AI making it easier than ever to create and regenerate information. The technology will change the way we work and positively impact workforce scalability. However, it is crucial to ensure that humans remain in the loop, taking action based on AI-generated insights.
Challenges in AI Implementation
One key challenge in AI implementation for organizations is the top-down approach. The management's level of innovation and understanding of AI plays a role in the prioritization and adoption of AI projects. Legal concerns, such as data regulations like GDPR, also pose challenges. Grassroots initiatives can arise when employees adopt tools without proper oversight, leading to potential data privacy risks. Implementing a solid AI strategy, following the steps of the CPMI methodology, and iterating often can help address these challenges effectively.
Patterns of AI Project Implementation
A common pattern in AI project implementation involves connecting large language models with organizational knowledge. Many organizations aim to leverage AI to make their knowledge more accessible and enhance interactions with customers. This often involves integrating language models with databases or developing solutions that offer customized information retrieval based on specific industries or topics. These patterns highlight the potential for AI to enhance knowledge dissemination and accessibility.
The Importance of Structure and Alignment
Maintaining structure and alignment throughout AI projects is essential for success. Managers need a clear AI strategy aligned with business objectives, rather than considering it a black magic box or a Pandora's box. Taking a top-down approach ensures the necessary prioritization, understanding, and accountability. Iterative implementation, starting big and scaling down, can help identify needs and select appropriate tools along the way. Additionally, seeking help from experts, like those certified in the CPMI methodology, accelerates project progress.
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 and for professionals who are CPMAI certified.