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    Data Science Resources

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    Featured Resource

    Model Velocity Assessment

    Assess your data science lifecycle: 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 ...

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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

    Organizing Enterprise Data Science

    While the necessity to embed AI into the business is clear, the road to get there isn’t. One question many data science leaders wrestle with is how to organize data science teams to achieve the ...

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    Featured Resource

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

    Spark is a distributed computing framework that has skyrocketed in popularity over the last several years for data engineering and analytics use cases. This paper provides a brief overview of Spark’s ...

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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

    Enterprise Machine Learning Operations (MLOps) allows organizations to scale data science by progressing through the data science lifecycle ...

    How to scale data science (when nobody else understands it

    Domino has partnered with DataIQ to survey their membership of data and analytics professionals to understand more about their approaches ...

    Forrester Wave PAML 2020

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

    Top 10 Questions for IT Leaders

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

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

    See why security features headline a growing list of crucial components that you have to consider when selecting an enterprise data science ...

    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.

    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.

    Top 10 Pharma Analytics Solutions

    This edition of Pharma Tech Outlook magazine brings you the “Top 10 Analytics Solution Providers – 2019.” Domino is featured as a leader.

    451 Research on Domino

    Read this report to get 451 Research's take on Domino Data Lab's product strategy.

    The Complete Guide to Enterprise MLOps Principles

    Learn the keys to becoming a model-driven business

    Whitepapers

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

    Data Science Needs to Grow Up - The 2021 Domino Data Lab Maturity Index - According to a new survey of 300 data science executives at ...

    Pump Up Data Science Productivity with a Modern Workbench

    As data science practices scale, productivity suffers because workbenches aren’t built to leverage the work of large data science teams. ...

    The True Cost of Building a Data Science Platform Whitepaper

    Scaling data science is the key to unlocking business value but it’s not easy to scale and most organizations haven’t figured out how to do ...

    Model Monitoring Best Practices

    Too often, companies run models in production without adequately managing the risk of model drift. Or to manage it, they rely on data ...

    Kubernetes: The IT Standard for Data Science Workloads

    Learn why Kubernetes is a great fit for data science workloads, and how it is becoming the platform infrastructure layer for the cloud. ...

    Navigating the Life Sciences Journey to a Modern Statistical Computing Environment

    Learn 4 milestones of digital transformation for health and life sciences organizations, 6 common challenges to reaching those milestones, ...

    IT Evaluation Guide

    This paper highlights how the Domino data science platform addresses governance, security, infrastructure monitoring, and other important ...

    Model Risk Management in Domino

    Model Risk Management is a framework that combines sound governance principles with end-to-end documentation in the design, development, ...

    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

    How to get the most out of moving data science to AWS

    Briefs

    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.

    Best Practices for Managing Your Team in Domino

    Learn how leading organizations use Domino to manage their teams.

    Domino Collaboration Brief

    Lessons from the field on managing data science projects and portfolios.

    Domino Control Center Brief

    Learn how Domino Control Center helps data science and IT leaders govern how their organizations use critical compute and software ...

    Domino Lab Tech Brief

    Learn how Domino Lab accelerates research and maximizes data science productivity.

    Domino Launchpad Brief

    Learn how Domino Launchpad addresses the operational challenges companies face getting models into production (ie, ModelOps).

    Domino and AWS Tech Brief

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

    Domino for Data Science Leaders Tech Brief

    Learn how Domino helps you enable and scale a model-driven organization.

    Domino for Data Scientists Tech Brief

    Learn how Domino helps data scientists drive breakthrough research and deliver high-impact models.

    Domino for IT Leaders Tech Brief

    Learn how Domino addresses key pain points for IT leaders so they can deliver and govern high-impact models with confidence.

    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.

    NVIDIA DGX-Ready Software Solution

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

    Data Science Innovation in Credit and Finance Analytics

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

    SAS for Containers on Domino

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

    How to Evaluate a Data Science Platform

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

    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 walks data science leaders through key questions to help find and train new data scientists on ...

    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

    TopDanmark’s Head of Machine Learning Stig Pederson and Domino CEO Nick Elprin discuss how Topdanmark, one of Denmark’s largest insurers, ...

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

    In this session, Revati Kulkarni, technology head of the HPC and AI group at Tata Consultancy Services (TCS), along with Thomas Robinson, ...

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

    Apache Spark has been the incumbent distributed compute framework for the past 10+ years. But the overhead and complexity of Spark has been ...

    Unleash Data Science for the Model-Driven Business you Expect

    Why do data science initiatives fail? Learn from an expert panel on the importance of Enterprise MLOps, with experts like Tom Davenport ...

    Unlock 542% ROI for Customers - Learn about Domino's Partner Program | Partner Webinar #2

    Join this session for both current and prospective channel partners to see how Domino's leading enterprise MLOps platform is enabling ...

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

    Join us for a live webinar where Dr. Kjell Carlsson, Principal Analyst, Forrester, will describe some of the key challenges organizations ...

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

    We'll present an integrated solution based on the Domino Data Science Platform, NVIDIA NGC containers, and RAPIDS Accelerator for Apache ...

    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 this session to learn about real-world, industry-specific scenarios with data science experts from AWS and Domino Data Lab as they ...

    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

    During this fireside chat, we'll talk with executives in IT and Analytics who will share first-hand experiences centralizing Data Science ...

    Accelerating Data Science: Unlock Model Velocity

    How do you measure the impact of data science? In this fireside chat, we’ll discuss a new way to frame and benchmark the ROI of your data ...

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

    The chance for IT to lead in SaaS? Big data? Hadoop? Those ships have already left the port. But for enterprise data science, the time is ...

    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: Partner Webinar

    Join this exclusive session for partners to see how Domino's leading data science platform is meeting the market with an open approach to ...

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

    Join Antoine Ly, head of Data Science at world-leading reinsurer SCOR, along with the Domino Data Lab team, to uncover how SCOR is ...

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

    Model ethics, interpretability, and trust will be seminal issues in data science in the coming decade. This technical talk discusses ...

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

    Join Forrester analyst Dr. Kjell Carlsson and our panel of IT and data science leaders to uncover the best practices that unlock the ...

    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 operationalising 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

    These are some of the topics we'll dig into during this fireside chat between two long-time analytics team leaders – John Thompson and Dave ...

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

    Learn how global pharmaceutical research leader Janssen Research & Development has accelerated model training on multi-GPU machines, ...

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

    Our missions are some of the most important and challenging in the world...from protecting our citizens to advancing the boundaries of ...

    Data Science Leadership Exchange: Best Practices for Driving Outcomes

    Despite an increasing awareness of the role data science plays in successful business outcomes, data science leaders still struggle to ...

    DataOps, the Secret Weapon for Delivering AI, Data Science, and Business Intelligence Value at Speed

    In this session, Moneysupermarket Group’s Chief Data Officer Harvinder Atwal will discuss how he’s implemented a DataOps approach at ...

    A Strong Data Science Community in a Decentralized Org

    A Strong Data Science Community in a Decentralized Org

    Monitor the Health of All Your Models: Introducing Domino Model Monitor

    Watch this webinar, hosted by Domino's Samit Thange and Bob Laurent, to learn more about the factors that can cause model performance to ...

    Explore the Future of Enterprise Data Science: What’s New in Domino 4.2

    Join this webinar to experience new capabilities like on-demand Spark clusters, enhanced project management with Jira integration, ability ...

    Increasing Model Efficiency: Model Risk Management

    In this live webinar, David Bloch and Nikolay Manchev present the missing piece of Model Risk Management solutions: a multi-language ...

    Solving Expert Problems With NLP Algorithms In Insurance

    During this session, Topdanmark’s Head of Machine Learning Stig Pedersen will discuss his team’s journey into machine learning, and will ...

    Modernize Your Statistical Computing Environment

    In this live webinar, Domino Data Lab’s general manager for Health and Life Sciences will discuss challenges we’ve encountered across ...

    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 help companies get their data science teams--and ...

    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

    In this code webinar, Dr. Mark Fenner covers: Building a pipeline for automating ML workflow; Core concepts, incl cross-validation; How to ...

    Machine Learning Vital Sign

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

    Turbo-Charging Data Science with AutoML

    In this webinar, we will dive into popular open source and proprietary AutoML tools such as auto-sklearn, TPOT, MLBox, AutoKeras, and H2O ...

    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 3.5 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

    Two days of practical sessions, thought-provoking discussions, and forward-looking solutions. Enjoy the entire conference on demand for ...

    Webinar: Accelerating the Impact of Data Science Teams

    Join this 30 minute webinar to learn how Domino 3.4 accelerates the impact of data science teams with: Datasets, Experiment Manager, ...

    Solving ModelOps (Video)

    Data science and the impact it will have on business and society has never been more hyped. Yet the reality is very few organizations today ...

    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 (Video)

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

    GPU Computing for Data Science (Video)

    Ways to incorporate GPU computing for computationally intensive tasks.

    Apps in Domino (Video)

    Watch this webinar to review a survey of the landscape of interactive visualization (Shiny, Dash, etc) tools and learn some best practices ...