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    Data Science Resources

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    Featured Resource

    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 suggested areas of improvement.

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    Featured Resource

    The Complete Guide to Enterprise MLOps Principles

    Learn the keys to becoming a model-driven business.

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    Featured Resource

    Florence the Data Scientist and Her Magical Bookmobile

    Introducing the world’s first data science book for kids!

    Bring home a copy
    Featured Resource

    Forrester: The Total Economic Impact of the Domino Enterprise MLOps Platform

    See why Forrester Consulting projects that organizations that use Domino will realize nearly $30 million in value over a three-year period, with an ROI of 542% and a payback in less than six months.

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    Featured Resource

    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 reputation, financial loss, and an impact to your customers.

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    Featured Resource

    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 Enterprise MLOps Platform.

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    Featured Resource

    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.

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    Guides & Reports

    A Guide To Enterprise MLOps

    Progress through the data science lifecycle faster with the enterprise capabilities that are required to do this safely and universally.

    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.

    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.

    Forrester Wave PAML 2020

    See Why Forrester Named Domino a Leader in the Wave for the second time in a row.

    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.

    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.

    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.

    Top 10 Questions for IT Leaders

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

    What IT Leaders Need to Know About Data Science

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

    Succeeding with Data Science in Financial Services

    Learn how organizations unleash innovation without sacrificing transparency or governance.

    Whitepapers

    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.

    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.

    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 ...

    The True Cost of Building a Data Science Platform Whitepaper

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

    Model Monitoring Best Practices

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

    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.

    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.

    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.

    IT Evaluation Guide

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

    Model Risk Management in Domino

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

    Data Science Maturity Model Whitepaper

    Identify capability gaps and direct future investment with this model.

    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.

    Model Management: A Framework to Build a Model-Driven Business

    Learn how to leverage models for a competitive advantage and avoid the Model Myth.

    Data Science in the Cloud

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

    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 ...

    Briefs

    Domino Enterprise MLOps Platform

    See why the Domino platform is used by over 20% of the Fortune 100 to centralize their data science and become a model-driven business.

    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 ...

    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.

    Data Science Project Management

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

    How to Evaluate a Data Science Platform

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

    Domino for Statistical Computing and Data Science

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

    Domino for Financial Services

    Learn how Domino helps financial institutions become model driven.

    Domino for Insurance

    Learn how Domino helps insurers become model driven.

    Best Practices for Managing Your Team in Domino

    Learn how leading organizations use Domino to manage their teams.

    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.

    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.

    SAS for Containers on Domino

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

    Domino and AWS Tech Brief

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

    Data Science Innovation in Credit and Finance Analytics

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

    Tools

    Data Science Management Kit

    Resource bundle for current and aspiring data science leaders.

    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.

    Pre-Flight Project Checklist

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

    Top Data Science Articles

    Our most popular articles for data scientists. Learn techniques from insights, tips, and tutorials.

    Videos & Webinars

    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.

    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.

    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?

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

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

    Executives share first-hand experiences about the effects on people, process, and technology when centralizing data science.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    Seamless Virtual Collaboration Across Life Sciences

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

    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.

    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.

    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.

    Data Science Leadership Exchange: Best Practices for Driving Outcomes

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

    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.

    Explore the Future of Enterprise Data Science

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

    Increasing Model Efficiency: Model Risk Management

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

    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.

    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.

    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.

    Monitoring Models at Scale

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

    Towards Predictive Accuracy

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

    Machine Learning Vital Sign

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

    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.

    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.)

    A Data Science Playbook for Explainable ML/AI

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

    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.

    Data-driven to Model-driven

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

    Data Science Leaders Summit

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

    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.

    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?

    SAS Demo

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

    Managing Data Science at Scale

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

    GPU Computing for Data Science

    Ways to incorporate GPU computing for computationally intensive tasks.

    Apps in Domino

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

    Unleashing Exceptional Performance Virtual Event with Atul Gawande & Najat Khan

    Lessons on driving continuous improvement when it matters most.