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Explore Domino's Self-Guided Tours

Domino and Carahsoft have partnered together to provide a series of self-guided tours of Domino's products and features. Similar to a live demo, the self-guided tours explores how Domino's products and features applies to a specific technology vertical such as Artificial Intelligence.

 

Learn about Domino's benefits, watch a short pre-recorded demo video, and download related resources. If interested in furthering the conversation, you can also schedule a live demo with a Domino expert from Carahsoft. Start a Self-Guided Tour now by selecting one below: 

 

View All Artificial Intelligence Tours
Domino Data Labs Artificial Intelligence Self-Guided Tour  

Domino Data Labs Artificial Intelligence Self-Guided Tour

Domino offers an open and flexible platform, empowering data scientists to leverage their preferred tools and infrastructure seamlessly. Domino's platform boasts a comprehensive ecosystem of both open-source and commercial tools, eliminating infrastructure challenges. Teams using different tools can collaborate effortlessly, relying on Domino to automatically track all data science artifacts. This facilitates easy retrieval and building upon previous work, fostering innovation. Managers can set project goals and inspect in-flight work, while the platform ensures swift deployment and optimal performance of data science models through integrated workflows. Domino prioritizes security, governance and compliance to meet enterprise expectations.


Want to dive further into Domino's analytical tools and features?
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Domino Enterprise MLOps Platform

Domino Data Lab offers an enterprise MLOps (Machine Learning Operations) platform that aims to streamline the entire lifecycle of developing and deploying machine learning models. Their platform provides tools and features that facilitate collaboration among data scientists, data engineers and other stakeholders involved in the machine learning process. Overall, Domino's MLOps platform aims to streamline and accelerate the process of developing, deploying and managing machine learning models within an enterprise environment, fostering collaboration and efficiency among data science teams.

Benefits:

  • Accelerate innovation while cutting expenses through immediate utilization of managed infrastructure
  • Enhance model development pace through self-service development environments, teamwork and ensuring reproducibility
  • Accelerate time to value from AI by quickly and safely productionizing data science projects
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Self-Service AI Infrastructure

Domino's platform is open and interoperable, offering seamless access to your chosen tools, languages and computing options, including distributed frameworks in just one click. By consolidating data science divisions into a unified interface, it incorporates robust cost management and oversight capabilities, enhancing efficiency while mitigating expenses and potential risks.

Benefits:

  • Easily access scalable computing with a single click, overseen by IT management
  • Incorporate fresh methods and approaches for large language models (LLMs), computer vision and beyond, eliminating the need for costly and complex code alterations
  • Effortlessly retrieve all types of data, whether structured or unstructured, from various sources such as databases, data lakes, network-attached storage and cloud storage
  • Efficiently distribute workloads between cloud and on-premises setups to maximize computing cost-effectiveness
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Data Science Workbench

Our platform, open and compatible, grants instant entry to your favored tools, languages and computing resources. Retrieving and reusing previous projects, models and code becomes effortless, accelerating productivity. You can trust complete reproducibility, eliminating the "works on my machine" issue, ensuring seamless project solutions.

Benefits:

  • Access all your favorite tools like Jupyter, JupyterLab, RStudio, SAS, VSCode or MATLAB in one place
  • Initiate new projects promptly using reusable templates or replicate existing projects while ensuring the complete reproducibility of code, data, environments and beyond
  • Simplify the process of integrating new team members by making standards readily available and accessible, minimizing the time it takes to get up to speed and boosting productivity from the start
  • Monitor your model training advancements through integrated MLFlow, ensuring comprehensive insight into your models' performance and simplifying issue troubleshooting
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Integrated MLOps

Domino MLOps expedites scaling from development to production, fostering collaboration between data science creators and users on a unified platform. This collaboration is facilitated by analytical tools such as "what-if" analyses and dashboards. It enables monitoring and management of ML models across their operational environments, mitigating business and compliance risks while championing responsible AI practices.

Benefits:

  • Deploy models to the cloud, edge or in-database
  • Utilize a unified platform for both data and models, hastening your journey to production
  • Deploy your models securely, employing tailored governance and CI/CD workflows that align with your organization's requirements
  • Automate the monitoring of data drift and model quality decline through integrated systems, receiving alerts for timely actions
  • Enable data scientists to effortlessly publish and host applications such as R Shiny, Dash, Streamlit and others without requiring DevOps involvement

Benefits Snapshot:

 

  • Unify multiple datasets, sources and external data with an all-in-one platform serving as a single system of record.
  • Access AI workloads and data sources anytime, anywhere for peak performance, cost savings and compliance, even in air-gapped environments.
  • Prioritize responsible AI with safe AI production, operations and foundation models to enhance accuracy, enforce best practices and reduce risk.

View Domino's AI Resources