EP 6 — Aigo.ai’s Peter Voss on the Future of Cognitive AI and Its Deployment in Enterprise

In this episode of Chief AI Officer, Ben speaks with Peter Voss, Founder, CEO, & Chief Scientist of Aigo.ai, to explore the current state of AI and its practical applications in enterprises. Peter shares his insights on the limitations of large language models, highlighting issues such as hallucinations, the black-box nature of these systems, and the finite scalability of training data, all of which mean a human will still need to be in the loop if these LLMs are to be implemented as business tools. 

 

He also delves into the future of cognitive AI, discussing how adopting a cognitive approach can lead to more reliable, human-like intelligence and real-time learning capabilities. Additionally, Peter talks about the importance of integrating AI with human oversight to ensure accuracy and efficiency in business tasks. 

Topics discussed:

 

• How AI technologies are being integrated into business operations to enhance efficiency and decision-making processes.
• The challenges of LLMs, including hallucinations, their black-box nature, and the finite scalability of training data.
• How a cognitive approach can lead to more reliable, human-like intelligence and real-time learning capabilities in AI systems.
• The importance of integrating AI with human supervision to ensure accuracy, reliability, and ethical considerations in business applications.
• The significance of these cognitive abilities in developing advanced AI systems that can adapt and learn over time.
• How AI can revolutionize various industries by automating complex tasks and providing intelligent insights.
• Strategies and challenges enterprises face when adopting AI technologies, including the need for a clear understanding of AI capabilities and limitations.
• The concept of AGI and how achieving human-level intelligence in AI could transform future technologies.
• The need for AI systems to learn interactively and adapt in real-time to new information and scenarios.
• Addressing the ethical considerations and responsibilities that come with deploying AI in business and society at large.