Artificial intelligence, particularly generative AI, is radically transforming the way businesses operate. From tailoring content creation to automating complex processes, the potential of AI seems limitless. However, behind this promise of innovation lie complex challenges that require a strategic and careful approach.
As companies navigate the rapidly evolving AI landscape, understanding the nuances of AI and Gen AI applications becomes critical. Each category offers unique benefits and challenges, requiring careful consideration of what implementation strategies, resource allocation, and potential impact on existing business processes.
Bonfiglioli Consulting's Knowledge Office has developed a framework for assessing AI use cases in the enterprise, their risks and the complexity of their implementation.
This whitepaper explores in depth the facets of AI implementation in the enterprise environment, focusing on four key areas:
For each of these areas, we will look at specific challenges, such as data quality, algorithmic bias, privacy and security, as well as opportunities for growth and innovation.
Individual productivity is undoubtedly the area of implementation where Gen AI offers the most significant support, in particular to create content, manage communications, and organize information more effectively.
By automating repetitive and time-consuming tasks, the Jan AI allows at people to focus on activities of higher value that require creativity human and critical thinking. This area of implementation requires special attention because, in most organizations, people have already become increasingly familiar with these tools and have begun to integrate them into their daily work, even without formal adoption by the company. Therefore, it is essential that the organization actuali so proactive Initiatives to manage and mitigate associated risks To this organic adoption.
