In order to manage the growing complexities of supply chain planning and execution, from supply disruptions and cost pressures to increasingly volatile customer preferences and the proliferation of data, businesses have increasingly been investing in new technology like AI, ML, and advanced analytics. But successfully applying AI and ML is easier said than done. Disjointed data and point solutions are getting in the way by making it difficult to manage integration costs, data hygiene and decision quality, and synchronization across the enterprise. This conversation featuring Snowflake and Blue Yonder explores the most common pitfalls enterprises experience today, how to avoid them, and how to successfully implement AI to accelerate your supply chain transformation.
- The Role of AI In Digital Transformation Featuring Snowflake