Domino Data Lab Resource Center

e-Book Financial Services

Closing the Data Science Talent Gap with the Power of Code

Upskilling Strategies for Growing Analytics Talent

e-Book General

Build a Winning AI Offense

C-Level Strategies for an ML-Fueled Revenue Engine

Where Is Data Science Innovation Going in Financial Services & Insurance?

Glimpse the future of data science in "The Financial Services & Insurance Data Science Innovator’s Playbook."

Domino Nexus

Run data science and ML workloads across any compute cluster—in any cloud, region, or on-premises.

The Practical Guide to Accelerating the Data Science Lifecycle

Videos & Webinars Financial Services

Top 5 AI Considerations for Chief Data and Analytics Executives

Accelerate Enterprise Data Science in the Hybrid Cloud with MLOps

e-Book General

Operationalize AI at Scale with MLOps: Closing the Divide Between Data Scientists and IT

Data Science Innovator's Playbook

Today's top leaders reveal industry trends, career advice, and how to meet the world's biggest challenges.

Whitepapers Financial Services

Make IT the Hero of Data Science

Demo General

Demo of MATLAB® on Domino Platform

This video will show how MATLAB and the Domino platform work together to help researchers and data scientists be more productive.

Whitepapers Insurance

The Complete Guide to Enterprise MLOps Principles for the Insurance Industry

The Complete Guide to Enterprise MLOps Principles for the Finance Industry

The Recipe for Breakthrough Innovations

VMware + Domino: How Infrastructure Abstraction Unleashes Data Scientists

See the power of VMware Tanzu and Domino's Enterprise MLOps platform! Unleash Data Science ROI by abstracting away infrastructure ...

Snowflake + Domino: More Datasets, More Production Models, More Business Impact...Zero DevOps

See the power of Snowflake Data Cloud, Snowpark, and Domino's Enterprise MLOps platform! With optimized connectors, push-down compute, and ...

50x Faster Performance with Ray and NVIDIA GPU-Accelerated Compute

Tech talk on harnessing the power of Ray, NVIDIA GPU Acceleration, and distributed compute to accelerate data science.

A Vision of Kubernetes as the Foundation for Enterprise MLOps

Featuring K8s co-founder himself, Craig McLuckie, learn the role that Kubernetes plays in scaling data science and machine learning across ...

Data Science Project Management

See how Domino has re-imagined project management, tailored to the unique needs of data science projects.

Briefs Health and Life Sciences

Model Deployment

Domino provides a wide variety of ways to consume models – as Apps, APIs, and more. Discover all of the ways your company can become more ...

Domino for Statistical Computing and Data Science

Learn how Domino helps health and life sciences organizations drive digital transformation.

Briefs Health and Life Sciences

Domino for Research and Discovery

Learn how Domino combines easy access to powerful infrastructure with collaboration and governance to unlock medical breakthroughs.

Briefs Insurance

Domino for Insurance

Learn how Domino helps insurers become model driven.

Briefs Financial Services

Domino for Financial Services

Learn how Domino helps financial institutions become model driven.

Domino Enterprise MLOps Platform ROI Estimator

By answering a few short questions, you will receive free access to a high-level estimate of the Total Economic Impact of the Domino ...

Guides & Reports

451 Research Report: Accelerating Machine Learning Model Velocity

Get recommendations to maximize the ROI of machine learning, optimize data science infrastructure, reduce risk, and increase model velocity.

Domino Datasheet

In this overview, see why Domino is used by over 20% of the Fortune 100 to centralize their data science and become a model-driven business.

Domino Platform Overview

In this detailed guide, learn about the three essential components of the Domino platform and why they're critical to scale data science.

Unleashing Exceptional Performance Virtual Event with Atul Gawande & Najat Khan

Lessons on driving continuous improvement when it matters most.

451 Research Report: Assessing the field in the MLOps race

Learn more about the segments and core products that comprise the vibrant, but sometimes confusing, MLOps product sector.

Model Monitoring

Create a seamless experience for model development to deployment to monitoring to ensure peak performance of production models.

On-Demand Distributed Compute

Learn how Domino provides self-serve access to the most popular distributed compute frameworks – Spark, Ray, and Dask.

Videos & Webinars Insurance

Breaking Down Silos Across Simulation, Analytics, and AI to Scale Innovation

Learn best practices from Tata Consultancy Services (TCS) for building a heterogeneous platform to unite analytics and AI workloads.

How Topdanmark Scales Enterprise MLOps

Hear how one of Denmark’s largest insurers is infusing models throughout its operations, and discuss what it takes to become model-driven.

Videos & Webinars

Beyond Spark: Dask and Ray as Multi-node Accelerated Compute Frameworks

Apache Spark has been the incumbent distributed compute framework, but has Spark been eclipsed by new frameworks?

The Complete Guide to Enterprise MLOps Principles

Learn the keys to becoming a model-driven business.

Don’t Let Models Derail You

On your journey to become a model-driven business, understand how models can turn bad and get recommendations to prevent negative brand ...

Model Velocity Assessment

Take this free 10-minute assessment and see where your data science process and lifecycle stacks up towards achieving model velocity, with ...

Start Assessment

Unleash Data Science for the Model-Driven Business you Expect

Learn from an expert panel about why data science initiatives fail and the importance of Enterprise MLOps.

Machine Learning Vital Sign

Donald Miner details the tracking of ML models in production to ensure model reliability, consistency, and performance into the future.

Pump Up Data Science Productivity with a Modern Workbench

See while productivity can suffer when workbenches aren’t built to support the work of large data science teams.

Data Science Needs to Grow Up: The 2021 Domino Data Lab Maturity Index

According to a new survey, flawed investments in people, processes, and tools are causing failure to scale data science.

Apps in Domino

Survey the landscape of interactive visualization (Shiny, Dash, etc) tools and learn best practices for publishing apps within Domino.

GPU Computing for Data Science

Ways to incorporate GPU computing for computationally intensive tasks.

Managing Data Science at Scale

In this webinar, we'll share learnings and how we see the market approach challenges in data science.

Demo General

SAS Demo

Watch how SAS, Domino Data Lab, and AWS have teamed up to deliver SAS for Containers on Domino.

Solving the ModelOps Challenge

The impact of data science on business and society has never been greater. But why are few organizations getting the value they expect?

Webinar: Accelerating the Impact of Data Science Teams

Learn how Domino 3.4 accelerates the impact of data science teams with Datasets, Experiment Manager, and Activity Feed.

Data Science Leaders Summit

Relive two days of practical sessions, thought-provoking discussions, and forward-looking solutions from today’s data science leaders.

Data-driven to Model-driven

In this webinar, Forrester Research and Domino will demystify the model-driven business.

Providing Unprecedented Transparency into the Health of Data Science Teams

Learn how Domino allows data science managers to define their own data science project life cycle, and easily track and manage projects.

A Data Science Playbook for Explainable ML/AI

This technical talk discusses traditional and modern approaches for interpreting black box models.

Best Practices for Getting Data Science Web Apps in Production

In this webinar we’ll review the pros and cons of the top data science web app frameworks (Shiny, Dash, Flask, etc.)

Turbo-Charging Data Science with AutoML

Dive into popular open-source and proprietary AutoML tools such as auto-sklearn, TPOT, MLBox, AutoKeras, and H2O Driverless AI.

Towards Predictive Accuracy

See how to build a pipeline for automating ML workflows, including how to select and tune hyperparameters.

Monitoring Models at Scale

Join this webinar to learn how Domino can help you monitor your models at scale.

Generative Adversarial Networks (GANs): A Distilled Hands-On Tutorial

Learn about the GAN framework, how to implement a basic GAN model, how to generate training samples, and more.

Videos & Webinars Insurance

How Dell & Domino Are Helping IT Govern the AI/ML Ecosystem

Learn how Dell and Domino created a refreshingly simple, building-block-based approach to get data science teams up and running faster.

Solving Expert Problems With NLP Algorithms In Insurance

Topdanmark’s Head of Machine Learning discusses his team’s journey into machine learning, and how they build and deploy models.

Increasing Model Efficiency: Model Risk Management

Discover the missing piece of MRM solutions: a multi-language reproducibility engine for model development efficiency.

Videos & Webinars Media & Technology

Explore the Future of Enterprise Data Science

Experience new capabilities in Domino 4.2 via live demos and discussion.

Red Hat: A Strong Data Science Community in a Decentralized Org

Learn specific techniques for breaking down silos and building a strong data science community across disparate organizations.

Videos & Webinars Manufacturing

Data Science Leadership Exchange: Best Practices for Driving Outcomes

Understand why data science leaders struggle to organize, implement and communicate effective data science initiatives.

How Lockheed Martin is Pushing the Boundaries of Rocket Science with Data Science

See how Domino and NVIDIA help them bring development, security, and operations best practices to machine learning.

Videos & Webinars Health and Life Sciences

How Janssen R&D Accelerated Model Training on Multi-GPU Machines for Faster Cancer Cell Identification

Learn how Janssen has accelerated model training on multi-GPU machines to diagnose and characterize cancer cells through image analysis.

Videos & Webinars Health and Life Sciences

Fireside Chat: Building Your Best Data Science Team

What’s the most effective organizational structure for modern data science teams? Learn best practices from two long-time team leaders.

Seamless Virtual Collaboration Across Life Sciences

Today, many organizations are looking to determine the optimal way for organizing their data science talent.

How to Simply Run Complex AI Training & Inference Workloads with Domino & NVIDIA

In this technical webinar, we address the key challenges every data science team faces when training and operationalizing complex AI models.

Reaching Across the Aisle: Data Science & IT Build a Better Enterprise

Join Forrester analyst Dr. Kjell Carlsson and IT and data science leaders to uncover best practices that unlock data science innovation.

Videos & Webinars Insurance

A Data Science Playbook for Explainable AI - Navigating Predictive and Interpretable Models

Model ethics, interpretability, and trust are seminal issues. Understand the modern approaches for interpreting black box models.

SCOR's Creation of Data Science Center of Excellence to Enhance Model Deployment

Learn how world-leading reinsurer SCOR is delivering data science at scale with the Domino Enterprise MLOps platform.

Videos & Webinars Financial Services

Unlock Enterprise Data Science and MLOps at Scale with Domino

Join this exclusive session for partners to see how Domino helps enterprises deliver data science at scale.

UBS’s Modern Data Science Stack

How their risk modeling platform on Domino blends SAS & open source analytics software for a fast path to the cloud.

Don't Miss the Boat, CIOs ― Lead Your Team to AI Excellence

CIOs have a unique opportunity to lead the transformation in data science. Here’s what you need to know to get started today.

Accelerating Data Science: Unlock Model Velocity

See why Model Velocity is a new way to frame and benchmark the ROI of your data science team’s work.

View the Keynote Address by Daniel Kahneman: The Psychology of Intuitive Judgment & Choices

Insights from Dr. Kahneman on how his research applies to today’s analytical professionals.

Succeeding in the Digital Age - How Can Data Science Leaders Play a Critical Role in Their Organisation’s Modernisation Journey?

Watch this session to hear industry-leading CDAOs discuss all about digital transformation.

Videos & Webinars Manufacturing

Domino Data Lab and Amazon SageMaker: Model management and monitoring for the Enterprise.

Join data science experts from AWS and Domino Data Lab as they discuss the importance of a “single pane of glass” for model monitoring.

How AES went from zero to 50 deployed models in two years

In <2 years, AES built out a global team, its underlying infrastructure, and they’ve built and deployed 50+ models to date.

Videos & Webinars Health and Life Sciences

How Johnson & Johnson is embedding data science across their business

Johnson & Johnson’s CIO Jim Swanson and Domino CEO Nick Elprin discuss building an MLOps strategy to achieve model velocity.

Running complex workloads using on-demand GPU-accelerated Spark/RAPIDS clusters

See how Domino enables data scientists to easily provision a Spark/RAPIDS cluster and access it through an integrated environment.

Forrester TEI Webinar: Driving 542% ROI with the Domino Enterprise MLOps Platform

Join this session with Forrester Consulting to see how the Domino Enterprise MLOps platform is enabling model-driven business.

Pre-Flight Project Checklist

This pre-flight project checklist walks data scientists and data science leaders through an ideal set of upfront actions.

Data Science Hiring and Onboarding

This hiring and onboarding plan template covers the key questions to help find and train new data scientists for your team.

How to Evaluate a Data Science Platform

IT and Analytics Leaders: Thinking too narrowly about your data science platform can prove costly.

Briefs Financial Services

SAS for Containers on Domino

Accelerate SAS and save on CapEx — take it to the cloud.

Data Science Innovation in Credit and Finance Analytics

Domino on AWS provides an efficient, scalable, and secure data science platform.

NVIDIA DGX-Ready Software Solution

Domino and NVIDIA together make NVIDIA GPU resources available on the NVIDIA certified Domino enterprise data science platform.

Answers to Top 10 Questions for IT Leaders

This document provides IT leaders with answers to how Domino addresses the top 10 questions to ask of data science platforms.

Domino and AWS Tech Brief

Develop and deliver models faster, scale rapidly, and reduce regulatory and operational risk in the cloud.

Best Practices for Managing Your Team in Domino

Learn how leading organizations use Domino to manage their teams.

Accelerate SAS Adoption with Domino

This paper illustrates in three simple steps how to use SAS for Containers on Domino for SAS research and model deployment.

Data Science in the Cloud

See how to get the most out of moving data science to AWS.

Attention, CIOs: Do You Know Where Your Data Scientists Are?

Learn how to wrangle data science tools and technologies, support your data scientists' compute needs in the cloud, and prevent shadow IT.

Data Science Maturity Model Whitepaper

Identify capability gaps and direct future investment with this model.

Whitepapers Health and Life Sciences

Model Risk Management in Domino

Discover a framework that combines sound governance with end-to-end documentation in the lifecycle of models.

Why a Successful Digital Transformation Demands a Flexible SCE

Learn about the milestones and best practices for digital transformation at health and life sciences organizations.

Kubernetes: The IT Standard for Data Science Workloads

See why Kubernetes is a great fit for data science and quickly becoming the platform infrastructure layer for the cloud.

The True Cost of Building a Data Science Platform

Understanding the capabilities needed for enterprise data science and the level of effort needed to build your own data science platform.

Guides & Reports Financial Services

Data Science Manager Survey Report: Key Factors on the Journey to Become Model-Driven

Survey results from 250 data science leaders and practitioners across organizations of all sizes and a variety of industries.

Succeeding with Data Science in Financial Services

Learn how organizations unleash innovation without sacrificing transparency or governance.

What IT Leaders Need to Know About Data Science

Your guide to understanding modern data science and why IT is critical to its success.

451 Research Report: Security is a Vital Linchpin for Enterprise Data Science

See why security features headline a growing list of crucial components when selecting an enterprise data science platform.

How to scale data science (when nobody else understands it

Domino has partnered with DataIQ to survey data and analytics professionals to understand their approaches to data science.

IT Evaluation Guide

See how the Domino platform addresses governance, security, infrastructure monitoring, and other important criteria.

The Practical Guide to Managing Data Science at Scale

One of our most popular resources, this guide shares lessons from the field on managing data science projects and portfolios.

Read Now

The Pros and Cons of Spark in a Modern Enterprise Analytics Stack

Learn about Spark’s strengths and weaknesses in the context of data science and machine learning workflows.

Organizing Enterprise Data Science

Many leaders wrestle with how to organize data science teams for the greatest impact. We break down best practices for enterprise data ...

Model Monitoring Best Practices

Learn about the importance of being vigilant for monitoring and mitigating data drift.