AI, Data in Pharma & Healthcare Summit Roundtable

In this 2024 round table format we discussed why data requirements are being implemented so slowly, and why is AI making it even harder? In a rapidly evolving business landscape, the sluggish pace of implementing data requirements presents a formidable challenge, exacerbated by the complexities of integrating artificial intelligence (AI). However, innovative strategies are emerging to address these obstacles. Companies are increasingly leveraging simplified data engineering processes to accelerate data product development, shifting focus towards agile business logic engineering. Additionally, efforts to democratize data access are gaining momentum, empowering non-technical users to interact with data intuitively. Moreover, advancements in AI and BI integration are streamlining data analytics workflows, enabling organizations to extract actionable insights more efficiently.