The Future of AI in Business Applications (CoPilot)
Unlock the potential of AI in your business as we sit down with Kamil Karbowiak , the managing director of Data Courage, to unravel the fascinating world of Microsoft Dynamics Business Central, CoPilot, Power BI, and AI. Kamil brings his extensive expertise to the table, shedding light on the evolution, current state, and the often misunderstood capabilities of generative AI and machine learning. We tackle the issue of AI marketing's tendency to over-promise, providing a realistic view of what these technologies can genuinely achieve today and the advancements we can anticipate in the near future.
Listen to the episode below as we explore the sophisticated world of multimodal language learning models (LLMs) and their remarkable ability to interpret and generate text from images. Despite these impressive advancements, we do not shy away from discussing the persistent challenges, such as the difficulty LLMs face with numerical data, leading to inaccuracies and hallucinations. Kamil provides valuable insights into why these issues occur and suggests innovative training approaches to overcome them. We also touch on the psychological barriers and biases that people often have towards new technologies, offering a balanced perspective on the current and future directions of LLMs.
In the final segments, we shift our focus to practical applications of CoPilot in business settings, particularly within Microsoft Business Central. Kamil walks us through the role of AI or CoPilot in content generation and data handling while emphasizing the critical importance of maintaining user-specific permissions and securing proprietary data. We dove into Microsoft's principles for responsible AI and the transformative potential of Copilot Studio, a low-code AI CoPilot tool that promises to revolutionize business functionalities. This episode is a must-listen for anyone keen on understanding the cutting-edge advancements and ethical considerations in AI technology today.
Microsoft's six Key Principles:
Fairness
Reliability and Safety
Privacy and Security
Inclusiveness
Transparency
Accountability
