Why do the majority of Data Science projects never make it to production?
AI/Machine Learning • May 2022
Why do the majority of Data Science projects never make it to production?
About
Why do the majority of Data Science projects never make it to production?
About

While most companies understand the value creation of leveraging data and are taking on board an AI strategy, only 13% of the data science projects make it to production successfully.
Besides the well-known skills gap in the market, we need to level up our end-to-end approach and cover all aspects involved when working with AI.
In this session, we will discuss the main obstacles to overcome and how we can avoid the major pitfalls to ensure our data science journey becomes successful.

Language
English
Level
Intermediate
Length
47 minutes
Type
online conference
About the speaker
About the speaker
María de la Fuente
Solutions Architect Manager for Israel, Middle East & AfricaDatabricks
Maria currently leads the Solutions Architect Team for MEA at Databricks, helping data teams solve the world's toughest problems. She has published several research papers on ANN, contributing to applying AI to biomedical research, turning her AI interest into her career path. Maria is very passionate about democratizing Data & AI and the adoption of a data-driven culture.
Details
Language
English
Level
Intermediate
Length
47 minutes
Type
online conference