Datatron Blog

Stay Current with AI/ML

Domino’s Takes Data

Domino’s Takes Data to the Next Level

Many companies today talk about leveraging data or being data driven, but Domino’s is one company that is truly putting these words into action. The Domino’s data science team is using artificial intelligence (AI)/machine learning (ML) models to completely revolutionize the company at its core.

Domino’s data science team provides the company with a modeled view into the future state of its markets, providing actionable guidance on store placement and staffing. The data science team is leveraging AI/ML models to improve in-store operations, discover untapped revenue sources, and most importantly, continually improve the customer experience.

Putting Models to Work

Domino’s data science team is able to accomplish these goals, and more, by taking a comprehensive, strategic approach to ML operations (MLOps), ensuring that the team can always measure the performance of every model to maintain continuous improvement in a virtuous cycle. This involves systematically refreshing the models with new data as the ground truth changes. By taking such an approach, the data science team is able to deliver significant, tangible results to the business.

In this short video, watch as Domino’s explains the many benefits that the data science team is bringing to the company:

Datatron, provides an enterprise-grade platform that helps data-driven organizations supervise Machine Learning models for high-precision deployment to meet regulatory requirements and effectively manage the entire production machine learning life cycle.

To learn more about Datatron, Book a Demo

Follow us on Twitter and LinkedIn.

whitepaper

Success Story: Global Bank Monitors 1,000’s of Models On Datatron

A top global bank was looking for an AI Governance platform and discovered so much more. With Datatron, executives can now easily monitor the “Health” of thousands of models, data scientists decreased the time required to identify issues with models and uncover the root cause by 65%, and each BU decreased their audit reporting time by 65%.

Get Whitepaper

whitepaper

Success Story: Domino’s 10x Model Deployment Velocity

Domino’s was looking for an AI Governance platform and discovered so much more. With Datatron, Domino’s accelerated model deployment 10x, and achieved 80% more risk-free model deployments, all while giving executives a global view of models and helping them to understand the KPI metrics achieved to increase ROI.

Get Whitepaper

whitepaper

5 Reasons Your AI/ML Models are Stuck in the Lab

AI/ML Executive need more ROI from AI/ML? Data Scientist want to get more models into production? ML DevOps Engineer/IT want an easier way to manage multiple models. Learn how enterprises with mature AI/ML programs overcome obstacles to operationalize more models with greater ease and less manpower.

Get Whitepaper

whitepaper

Life Cycle of Machine Learning Models

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

Get Whitepaper

whitepaper

Unique Challenges Of Machine Learning Models In Production

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

Get Whitepaper

whitepaper

Model Deployment

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

Get Whitepaper

Our Latest Content

Self-Guided In-Product Tour (7 Mini-Videos)

00 Days
:
00 Hours
:
00 Mins
:
00 Secs

Experience “The Datatron” product for yourself in this self-guided series of seven, concise, mini-videos that highlight key features, like the “Model Catalog,” and “Health Dashboard,” as well as Use Cases for Data Scientists (Part III), ML Engineers/DevOps (Part IV), and AI Executives & BU/LOB leaders (Part VII). Enjoy! And, when you are ready, Book a Demo

Watch the Product Videos!