Considerations for Producing the Best AI and Machine Learning Models

with o'reilly and dataiku

Roger Magoulas, VP of Radar at O'Reilly Media, Inc., sat down with Jed Dougherty, VP of Field Engineering at Dataiku,
to discuss why the final mile (i.e., operationalization) is such a challenge for so many organizations.

from sandbox to production

Catch the 7-minute interview from the Strata Data Conference 2019 in New York City to learn more about best practices for operationalizing data science and machine learning projects.

Turquoise-Background

More Dataiku Content for You

dataiku-site-wp-6-key-challenges

Building a Successful Data Team

Building a productive and happy data team in the age of AI is no easy task; this white paper 6 Key Challenges to Building a Successful Data Team walks through some of the most common pitfalls and offers solutions.

get the white paper

dataiku-site-wp-defining-a-successful

Defining a Successful AI Project

How can teams ensure AI projects are successful from the start? This white paper provides a clear framework for choosing use cases as well as an actionable checklist for getting them off the ground.

get the white paper

dataiku-site-wp-data-science-operationalization

Your Guide to Operationalization

Operationalizing data science projects is not an easy task — it becomes twice as hard when teams are isolated and playing by their own rules. This guidebook breaks it all down and ensures data teams are successful in deploying projects.

get the white paper

Operationalize with Dataiku

Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI. Hundreds of companies use Dataiku daily to build, deploy, and monitor predictive data flows, solving problems like fraud, churn, supply chain optimization, predictive maintenance, and much more.

learn more about dataiku
DATAIKU_STILL31