
Sign up to save your podcasts
Or


This is Part 2 of Cindi's interview with Alberto Rey Villaverde, the Chief Data Officer at British online food order and delivery service Just Eat.
Listen to Part 1 of their interview here.
On this episode, Alberto and Cindi discuss how machine learning allows data to speak for itself, why artificial intelligence is more effective when it's led with the guiding hand of a human than without, three components crucial to the success of data products and services, adjusting business practices and expectations during pandemics and economic downturns, the talent gap versus the imagination gap in the data industry from a European perspective, data lakes versus data warehouses, and much more.
Key Takeaways:
More about Alberto:
Alberto Rey Villaverde is the Chief Data Officer at British online food order and delivery service Just Eat. He is a pricing and revenue management professional with extensive experience within the data science field, particularly on BI and advanced analytics, data mining, machine learning techniques, and scenario modeling.
Alberto started his career in advanced analytics as a member of the pricing and revenue management team at easyJet, working in the development of one of the most advanced pricing engines within the industry, where his team pioneered the implementation of machine learning techniques to drive pricing. He holds an MSc in data mining and an MBA from Cranfield University.
--
The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
--
For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
By ThoughtSpot4.9
7676 ratings
This is Part 2 of Cindi's interview with Alberto Rey Villaverde, the Chief Data Officer at British online food order and delivery service Just Eat.
Listen to Part 1 of their interview here.
On this episode, Alberto and Cindi discuss how machine learning allows data to speak for itself, why artificial intelligence is more effective when it's led with the guiding hand of a human than without, three components crucial to the success of data products and services, adjusting business practices and expectations during pandemics and economic downturns, the talent gap versus the imagination gap in the data industry from a European perspective, data lakes versus data warehouses, and much more.
Key Takeaways:
More about Alberto:
Alberto Rey Villaverde is the Chief Data Officer at British online food order and delivery service Just Eat. He is a pricing and revenue management professional with extensive experience within the data science field, particularly on BI and advanced analytics, data mining, machine learning techniques, and scenario modeling.
Alberto started his career in advanced analytics as a member of the pricing and revenue management team at easyJet, working in the development of one of the most advanced pricing engines within the industry, where his team pioneered the implementation of machine learning techniques to drive pricing. He holds an MSc in data mining and an MBA from Cranfield University.
--
The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
--
For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

479 Listeners

111 Listeners

302 Listeners

333 Listeners

269 Listeners

235 Listeners

220 Listeners

210 Listeners

171 Listeners

40 Listeners

76 Listeners

277 Listeners

38 Listeners

87 Listeners

136 Listeners

110 Listeners

133 Listeners

225 Listeners

607 Listeners

27 Listeners

467 Listeners

62 Listeners

1,428 Listeners

62 Listeners