News Category: Press Release

SAN MATEO, Calif. — December 3, 2025 — dotData, the leader in Statistical AI and feature discovery, today announced the latest version of its deep analytics platform, "dotData Insight 2.0". dotData Insight 2.0 is a significant update that provides integration with the Databricks Delta Lake platform across data management and computation, enabling organizations to extract business insights and transform them into value under a unified data governance. Features of dotData Insight on the Databricks Data Intelligence Platform Zero-Copy Feature Automated Design dotData Insight directly accesses data stored in Databricks' Delta Lake and executes dotData's proprietary driver discovery and automated design via Lakeflow Jobs. This eliminates the need to copy data across environments, enabling centralized data management and flexible business analytics with dotData Insight. Integrated Governance with Databricks dotData Insight on Databricks integrates with Databricks' Unity Catalog. In addition to managing data in the catalog, dotData Insight also benefits from the…

After recovering $8 million monthly with dotData Enterprise, fintech leader graduates to dotData’s risk discovery platform to reduce risk losses SAN MATEO, Calif. — December 2, 2025 — dotData, the leader in Statistical AI and feature discovery, today announced that sticky.io, the intelligent revenue optimization platform, has upgraded to dotData Feature Factory. The move deepens a six-year strategic partnership and builds on sticky.io’s massive success with dotData’s original platform, which helped them recover $8 million in lost revenue monthly by uncovering critical risk signals. sticky.io, a long-time dotData customer, had previously used dotData Enterprise, an end-to-end AutoML platform. The platform’s powerful Statistical AI engine proved invaluable, enabling sticky.io to uncover hidden signals in its vast transaction and billing data, dramatically improving its AI-driven dunning and revenue recovery. The upgrade to Feature Factory was driven by sticky.io’s strategic migration of its data infrastructure from Redshift to Databricks. As the team modernized…

SAN MATEO, California, November 19, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the release of dotData Enterprise 4.1. This latest update builds on the redesigned experience introduced in version 4.0 and further strengthens the integration across the dotData Product Suite, enabling organizations to accelerate the development of reliable, explainable, and production-ready AI models. Key Features of  dotData Enterprise 4.1 Include: Drill-Down Analysis for Prediction Errors dotData Enterprise 4.1 introduces a new pivot-table-based drill-down analysis feature, enabling users to examine model performance and feature impact across various segments of the target population. Analysts can quickly identify underperforming groups, understand error patterns, and iterate toward higher-accuracy models with greater efficiency. One-Click Integration with dotData Insight Users can now transfer model outputs and predictive patterns to dotData Insight with a single click, where Insight’s GenAI-powered business interpretation and AI-driven driver combination discovery provide deeper visibility…

SAN MATEO, California, November 18, 2025 — dotData, a leader in AI-powered feature and insight discovery platforms, today announced that Matt Roe, former Chief Revenue Officer of Open Lending (NASDAQ: LPRO), has joined the company as an Executive Advisor. A respected veteran in the auto lending and credit union sectors, Roe will leverage his deep industry expertise to help accelerate dotData's growth, sharpen its positioning, and build strategic executive relationships in the lending and credit union markets. Bringing Decades of Lending Experience to dotData Matt Roe brings more than two decades of experience in driving growth in the financial services sector. During a decade-long tenure as CRO at Open Lending, he was instrumental in driving the company’s revenue and market presence, culminating in a successful IPO.  His deep understanding of the challenges facing lenders in subprime auto financing, prime lending, and credit union member services makes him a powerful new…

New releases empower data science teams to build, deploy, and manage more reliable predictive models faster with interactive result sharing, powerful automated data quality checks, shadow testing, and automated model retraining. SAN MATEO, California, August 20, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced product updates for dotData Feature Factory 1.4 and dotData Ops 1.5. The releases introduce powerful new capabilities. The updates are designed to enhance collaboration, improve model interpretability, and automate critical MLOps processes, empowering organizations to build and deploy more reliable AI faster. Key Features of dotData Feature Factory 1.4 Include: Support Microsoft Fabric Deployment dotData Feature Factory 1.4 can now be deployed directly within Microsoft Fabric, enabling Microsoft Azure users to build powerful features without needing to move or duplicate data. This integration unifies data governance under the Fabric umbrella, offering unprecedented scalability, data security, and flexibility for the…

SAN MATEO, California, July 24, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the release of dotData Insight 1.4, a major update to its AI-driven signal discovery platform. This latest version delivers significant improvements in speed, scalability, and enterprise readiness through powerful new features, including AI Driver Stacking, expanded cloud self-deployment options, built-in connectors to leading enterprise data sources, and Amazon Bedrock support for enhanced GenAI security. Discover Combinatorial Business Drivers with AI Driver Stacking dotData Insight 1.4 introduces AI Driver Stacking, a cutting-edge statistical AI technique designed to uncover richer, more actionable insights by automatically identifying optimal combinations of key business drivers. This approach solves exponentially complex combinatorial optimization problems at scale, surfacing not just individual factors but their most impactful combinations. As a result, users gain greater transparency and deeper understanding of the factors influencing critical business outcomes—enabling faster, more confident…

SAN MATEO, California, April 8, 2025 - dotData, announced the launch of dotData Enterprise 4.0, a milestone upgrade to its no-code Predictive Analytics platform. Featuring a fully redesigned interface and a new core engine based on dotData's award-winning Feature Factory technology, dotData Enterprise 4.0 is a ground-up rethinking of the end-to-end no-code automation journey for companies getting started on the road to building predictive analytics models. With dotData Enterprise 4.0, dotData has reimagined how analytics professionals with minimal ML experience build predictive models. “The vision of dotData Enterprise has always been to make predictive analytics more approachable to a wider spectrum of users.” Said dotData CEO, Ryohei Fujimaki, Ph.D. “With dotData Enterprise 4.0, we are thrilled to be introducing a new user experience that is familiar, approachable and continues to expand and deliver on the promise,” continued Dr. Fujimaki. dotData Enterprise 4.0 introduces several key functions: Predictive Modeling Canvas: dotData…

New York NEW YORK – February 19, 2025 – KDDI America, a leading global information and communications technology (ICT) provider, and dotData, a company that revolutionizes data analytics and utilization for businesses with its world-leading AI technology, Automated Feature Engineering, today announced a strategic partnership aimed at enabling companies to perform deeper analytics and enhance their data-driven decision-making processes. Through this partnership, KDDI America's scalable system integration capabilities and dotData's AI-based data analysis technology will be combined to create an environment where companies can make the most of their data, accelerating data-driven management and digital transformation. Combining KDDI America's diverse customer base and system integration services with dotData's cutting-edge data analytics and machine learning technologies will enable companies to rapidly analyze and model their accumulated data, unlocking new business opportunities while reducing the complexity and costs associated with traditional data science workflows. The collaboration will enable the introduction of various…

SAN MATEO, California, FEBRUARY 18, 2025—dotData, announced the launch of dotData Feature Factory 1.3, a major upgrade to its automated feature engineering and discovery platform, designed to help data scientists extract deeper insights, accelerate ML model development, and seamlessly integrate with the latest AI technologies. With groundbreaking enhancements in AI-powered feature discovery, automated text processing, and expanded LLM support, dotData Feature Factory 1.3 delivers a transformative experience for AI, data science, and machine learning teams—eliminating bottlenecks, reducing manual effort, and surfacing predictive signals faster than ever. Breakthrough Capabilities in dotData Feature Factory 1.3 Progressive Feature Augmentation dotData Feature Factory 1.3 enables you to incrementally discover features that orthogonally augment your existing features or the residuals of your predictions. With this new capability, you can avoid rediscovering redundant features and iteratively build more predictive features. AI Column Enrichment dotData Feature Factory 1.3 introduces an innovative, AI-powered Column Enrichment capability that intelligently…

Leveraging AI to improve data quality and discover more accurate and deeper insights faster. SAN MATEO, California, January 28, 2025 – dotData, a pioneer and leading provider of AI-powered insight discovery platforms, has unveiled its latest update to dotData Insight, an AI-powered signal discovery and data analysis platform designed for Business Intelligence professionals and business power users. dotData Insight 1.3 introduces cutting-edge features like AI-driven data cleansing and AI-driven column enrichment, enabling businesses to extract accurate and deep insights faster, more efficiently, and at a fraction of the cost of traditional methods. AI-Powered Column Enrichment dotData Insight 1.3 introduces an innovative AI-powered Column Enrichment capability that enhances data analysis by intelligently combining columns to uncover deeper insights. Unlike traditional statistical methods that produce pseudo-correlations or unintelligible combinations, dotData leverages generative AI to assess the domain-context and interpretability of column combinations, in addition to statistical significance. By automating a manual process…

SAN MATEO, California, FEB 13, 2024 – dotData, a pioneer and leading provider of AI insight discovery platforms, today announced the release of dotData Insight 1.2. Version 1.2 of dotData Insight features a variety of enhancements, including business driver extraction from text data, advanced table transformation capabilities, more flexible KPI visualization, weighted scorecard functions, and improved handling of large data volumes. Major New Features and Enhancements in dotData Insight 1.2 Extracting Key Signals from Textual Data dotData Insight 1.2 enables businesses to extract key signals from unstructured text data, such as sales reports, customer reviews, call center transcripts, and employee interviews. By integrating these insights with numerical, categorical, and time-series data, organizations can uncover deeper patterns and relationships for more comprehensive analysis. Flexible Table Transformation A new table transformation function streamlines data preparation by allowing users to generate target variables and preprocess data directly within the platform. By providing MySQL…

Enhanced capabilities in dotData Ops 1.4 include seamless operationalization of SQL-based data & feature transformations and Python machine learning models. SAN MATEO, California, SEP 17, 2024 – dotData, a pioneer and leading provider of feature discovery platforms, today announced version 1.4 of dotData Ops, which revolutionizes MLOps with data, feature, and model orchestration. This latest version introduces significant new capabilities, including seamless operationalization of SQL-based data, feature pipelines, and Python machine learning models. In simpler terms, dotData Ops now orchestrates any data transformation and predictive models developed outside of the dotData ecosystem, all within a single platform. Version 1.4 is tailored for organizations that require a high degree of customization and control over their data processing and machine learning pipelines, enabling a fully customized data science workflow that aligns precisely with unique operational requirements and strategic goals.  "Today's enhancements are a testament to our commitment to simplifying and accelerating enterprise…