Deliveroo, one of the most popular food delivery companies, has been going through something of a transformation.
Artificial Intelligence (AI), paired with big data, brings back an asset long lost to commerce – knowing your customer. As organisations shift from product to customer-focused strategy, data aggregation is exploding, while latent issues in legacy data warehousing cripple analytics.
Traditional methods of data sharing stall businesses in many ways. Acquiring data from both inside and outside the enterprise for richer analytics is time-consuming, labor intensive, costly and static. In the end, organizations get access to just slices of data integral to streamlining their operations, leading their industries and better serving their customers.
It has become pivotal for data leaders to improve their data warehouse offerings to match fluctuating customer demands, support concurrent users, and also accessing this data in real-time
The fast-growing food delivery startup has shifted its data warehouse from RedShift to Snowflake to deal with growing data demands within the organisation.
Custom accelerators for neural network training have garnered plenty of attention in the last couple of years, but without significant software footwork, many are still difficult to program and could leave efficiencies on the table.