Data Legends Podcast: Musings on Data Lakes, Computer Science, AI & More

When it comes to building new products, there’s a fine line between which pieces of the puzzle should be owned by humans with deep domain knowledge, and which aspects can or should be automated through AI. How far can the boundary be pushed? We speak with Jeremy Foran, Chief Technology Officer at Purple Cow Internet, about his new role as CTO at a fast-growing internet service provider.

Data Legends Podcast Episode 2, Amr Awadallah

Historically, knowledge has been relatively siloed by language. But with advancements in AI, there are now more opportunities than ever to capture broader and deeper insights across the written and spoken word by breaking down language and distance barriers globally. Listen to our conversation with Amr Awadallah, Founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo.

Data Legends Podcast: Making Sense of Data Quality Amongst Current Seasonality & Uncertainty

When providing the data to support marketing, it's important to frame and validate its quality based on whether it meets "the six C’s." Is the data clean, complete, correct, comprehensive, chosen well, and calculable? In our conversation with Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai, we discuss numerous questions many in the industry are asking today.

4 Years Ago, the GDPR Changed Everything. Now What?

The EU’s General Data Protection Regulation is approaching its 4th year anniversary since it was implemented in May 2018. Since its inception, it has been hailed as a groundbreaking framework for making users’ rights on the Internet a human right. Its impact in many other markets has been undeniable and it truly has affected how the world of the Internet works, even outside EU borders.

A Window Into the Future of Data in Motion and What It Means for Businesses

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest.