How to Make A Success of Data Science: Rendezvous Architecture for Data Science

Presented by

Jan Teichmann, Senior Data Scientist, Zoopla

About this talk

Making data science a success is really hard with up to 85% of projects and initiatives around big data and data science failing according to Gartner. The reasons are complex but often misunderstood. What is so different about data science that it needs new approaches? A survey in 2016 concluded that 80% of data science is preparing and cleaning data (the infamous 80/20 rule). That survey of data scientists caught on and developed into the widely recognized problem statement for data science, because productionisation of models is the TOUGHEST problem in data science. This talk will introduce the unique data science requirements and why they are important for the long game and introduce the Rendezvous Architecture, a proven solution to integrate data science and enterprise requirements in a harmonious way at scale
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (265)
Subscribers (55677)
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.