While generative AI commands attention, a more nuanced reality exists: the majority of AI applications currently driving tangible business value rely on predictive usage scenarios.
We recently introduced a solution designed to help organizations efficiently scale their predictive AI capabilities while ensuring model integrity and deployment effectiveness throughout the entire lifecycle, from development to production.
At this very moment, explore the cutting-edge enhancements designed to expedite knowledge preparation for modeling, while concurrently assessing model performance as you construct predictive AI models within DataRobot.
Discover bespoke challenges that synergistically unlock the combined potential of DataRobot to revolutionize novel areas of innovation and impact. 💡
Optimizing Artificial Intelligence Data Preparation for Enhanced Mannequin Precision and Productivity.
Preparing data sets for modeling is a laborious process that requires meticulous attention to detail. At DataRobot, we empower organizations to effortlessly prepare any data – no matter how complex or messy – for artificial intelligence applications. By leveraging DataRobot, you never need to manually prepare data for modeling beforehand; instead, simply point the platform at a file or table and let it handle the rest seamlessly.
We’ve seamlessly integrated the same exceptional performance, user understanding, and love for AI-driven knowledge preparation that users have come to appreciate in our traditional UX, now available within.
Discover, streamline, and unlock value from knowledge with improved visualization, seamless previews, and personalized profiles, all seamlessly integrated within our innovative Cloud Knowledge Warehouse, secure Cloud Storage, and AI-driven Catalog in NextGen.
Seamlessly integrate with cloud-based data warehouses or DataRobot’s AI Catalog, aggregating and remodeling knowledge directly within supported repositories like blob storage, to enhance your knowledge workflows. Elevate the DataRobot platform to one or more workstations, rapidly verifying the presence of any indications in your dataset, subsequently migrating this insight directly into your knowledge repository for future utilization within the NextGen framework.
DataRobot has consistently stood out for its approach to feature engineering and discovery. Now, you can enter all these wealth options and construct recipes tailored to your specific usage scenarios to generate novel datasets with derived options within NexGen.
With a subscription to DataRobot’s Software as a Service (SaaS) model, you can now access these enhanced features in the latest version of DataRobot. If your team utilizes our on-premise solution, you will need to update references to DataRobot to take advantage of our latest and most significant improvements.
Unlocking Data-Driven Decision Making with AI-Powered Insights
Establishing credibility is vital for building trust in your designs. Whether attempting to deploy AI-powered guidance or advocating for the commercialization of humanoid robots, grasping how these machines operate and make decisions is crucial.
Notably, explainability is crucial for securing widespread acceptance of your innovations from business stakeholders, as well as assisting in identifying key outcome drivers and unlocking rich AI-powered insights. A transparent grasp of what drives your team members’ behaviors lets you craft more effective change initiatives within your organization. We’ve integrated numerous in-depth insights to enhance our cutting-edge NextGen UX.
Briefly uncover predictions with augmented SHAP explanations supporting diverse model types, featuring a novel personal performance engine that generates SHAP values per individual record.
Improve your comprehension of how fashion trends unfold across distinct sub-populations by analyzing and interpreting insights gleaned from specific segments of your project’s data. Categorize insights into four distinct compartments: temporal, quantifiable, categorical, and binary knowledge segments, allowing for precise retrieval of information by type.
Simply Evaluate and Optimize Fashions
With our most recent updates to Workbench, coaching and evaluating a wide range of predictive models within DataRobot has never been more streamlined. Now, with seamless integration, you can quickly select between experiments and track crucial performance metrics alongside gaining fresh insights into model effectiveness, thereby streamlining your workflow for enhanced efficiency. As a key milestone in our transition to NextGen, we have started migrating our comprehensive multimodal features from Traditional UX to NextGen, commencing with the innovative Time Sequence capabilities.
Prepare and train classifiers on vast datasets within the Workbench environment, subsequently analyze their efficacy utilizing an advanced confusion matrix for insightful results.
Rapidly boost mannequin performance by comprehensively analyzing efficiency metrics and scrutinizing various fashion designs across disparate experimental settings, including those that employ distinct datasets and modeling configurations.
Elevate your forecasting game with precision-crafted, high-definition time series predictions now available within our cutting-edge NextGen user experience, alongside a wealth of enhanced performance capabilities waiting to be unleashed.
A Consolidated Perspective Across Pockets Book and Non-Pocket Book Records
For your benefit, we’ve dedicated significant resources to delivering exceptional expertise that sets a new standard. With this latest release, we’ve optimized our functionality to enable you to focus on building styles, rather than infrastructure, by allowing simultaneous access, viewing, and editing of multiple notebook and non-notebook files. The latest advancements enable seamless editing and execution of data, as well as the creation of innovative workflows.
Construct reusable automated workflows with the new Codespace options, streamlining your development process and amplifying collaboration capabilities. Streamline diverse types of files, including pocket book and non-notebook records, within a single container session, allowing for seamless viewing, editing, and execution. Establish recurring tasks with customizable frequencies to streamline workflows and optimize productivity. Regularly scrutinize your planned pocketbook assignments and examine past performance records. Configure scheduled notebooks to streamline development of automated, reusable workflows, enabling seamless execution and maximizing productivity.
The scalability of our models during both modeling and inference phases is paramount.
As information expands at an unprecedented rate, leading to a massive increase in the scope of work that teams tackle daily. As we introduce this innovative feature, we’re not just empowering you to tackle larger data sets during both construction and inference phases, but also delivering unparalleled efficiency throughout the process.
As cloud costs continue their upward trajectory, AI organizations are faced with the daunting challenge of balancing the need for efficient training with the constraints imposed by escalating expenses. As a pioneer in automated machine learning since its inception in 2012, DataRobot has remained dedicated to empowering data science teams to drive maximum ROI. Unlike most AI and knowledge platforms, which incentivize longer cloud usage by charging on a consumption basis, we achieve this by not doing so. Our latest innovation empowers your team to seamlessly collaborate on massive datasets without budgetary constraints, amplifying the value of their hard-earned efforts.
Seamless handling of large datasets throughout the machine learning (ML) lifecycle, now featuring enhanced NVIDIA GPU compatibility. Our method of incremental learning aims to guide you towards a precise prototype, rather than merely rushing through the absorption of vast amounts of information. It’s essential to issue a warning whenever you’re approaching diminishing returns on incorporating additional information, thereby preventing unnecessary expenditure of time and resources during the modeling process.
Unlock the full potential of your projects by seamlessly migrating tasks and datasets to DataRobot’s latest iteration, boasting enhanced features for superior performance, intuitive visuals, and streamlined collaboration capabilities.
Options Designed to Ship Impression
Despite the significant attention focused on GenAI, many are realizing substantial success with predictive AI. As we unveil our latest innovation, it’s clear that at DataRobot, we’re committed to investing in predictive AI, unlike many other AI providers who are focused on capitalizing on fleeting trends, neglecting the potential of predictive AI. DataRobot has emerged as the go-to destination for AI groups seeking to leverage a blend of predictive and generative capabilities, ultimately driving tangible business outcomes for their organizations.
“Our buyer neighbourhood has witnessed unprecedented growth, as new use cases emerge and existing AI initiatives flourish at an astonishing pace: the average tasks per buyer have surged 12% over the past year, while predictions per buyer have increased by 11%.
With the latest DataRobot advancements, you now enjoy greater control over critical initial performance metrics. While the enhancements don’t stop there. Stay ahead of the curve with ongoing explorations into our latest offerings, which simplify the process of deploying, monitoring, and governing your predictive models as they emerge on the market.
In regards to the writer
As Vice President of Product Advertising and Marketing and Strategy CTO at DataRobot, Lisa Aguilar is responsible for developing and implementing the go-to-market strategy for their AI-driven forecasting product suite. Within her role, she collaborates closely with product administration and development teams to identify pivotal strategies that address the needs of retailers, manufacturers, and financial services providers by harnessing the power of AI. Prior to joining DataRobot, Lisa held the position of Chief of Search and AI-Driven Analytics at ThoughtSpot.
