In Google Cloud Storage, Big Query, and other business divisions, data is kept in distinct silos, which results in inefficiencies and a lack of cross-platform analytics. 

Data-driven decision-making is limited by the fundamental AI and ML capabilities, which lack automated machine learning pipelines and real-time predictive analytics. 

The security framework is susceptible to contemporary cyber threats since it depends on manual threat detection and conventional perimeter-based firewalls.