Empower all enterprise data solutions with powerful, data-centric data and feature discovery and capitalize feature discovery assets. SAN MATEO, California, May 02, 2023 – dotData, a pioneer and leading provider of platforms for feature discovery, announced the public availability of dotData Feature Factory. The newly released platform provides advanced functionality that empowers data scientists with a data-centric approach to feature engineering powered by reusable feature discovery assets that have never been available until now. dotData Feature Factory enables a paradigm shift in enterprise data solutions and will replace dotData Py, a Python-based data science automation engine first introduced in 2018. This new product provides our heart and core as an independent product,” said Ryohei Fujimaki, Ph.D., founder and CEO of dotData. “In past years, we have kept validating that Feature Discovery is the biggest pain in enterprise data solutions. The vision of the new dotData Feature Factory is to enhance…
dotData’s new cloud offering provides increased security and fully managed options to enhance functionality, reliability, and peace of mind. SAN MATEO, California, March 28, 2023 – dotData, a pioneer and leading provider of platforms for feature discovery and AI automation, announced the public availability of upgraded versions of dotData Cloud, dotData’s cloud-based instance of its award-winning dotData Enterprise platform. The newly updated platform will be available in three tiers - dotData Cloud Starter, dotData Cloud Standard, and dotData Cloud Private, each offering varying levels of functionality and benefits for specific customer needs. “This upgrade to our dotData Cloud platform continues to enhance the capabilities and expands the options available to dotData clients,” said Ryohei Fujimaki, Ph.D., founder and CEO of dotData. “The new dotData Cloud offerings provide greater security via private connections while dotData Cloud Private leverages the dotData Cloud secure architecture and management best practices in the client private…
SAN MATEO, Calif., February 17, 2023 – dotData, a pioneer and leader of the feature discovery platform, today announced that its CEO, Ryohei Fujimaki, Ph.D., will present at the twentieth annual Montgomery Summit, taking place March 7-8, 2023 in Santa Monica, California. Dr. Fujimaki will present to an elite group of investors, industry insiders, and business leaders and participate in a panel session with executives from Omilia, Qure.ai, and Thomas H. Lee of THL Fund on how innovations in the field of AI and Machine Learning is set to fundamentally change how enterprise organizations leverage this technology - and what this means to the investment landscape. Dr. Fujimaki will also be presenting on the need for feature discovery in Machine Learning and will share how data science automation can help organizations overcome process and technology challenges to lower the cost of implementing and scaling an effective Data Science practice without…
dotData’s latest version of dotData Enterprise adds key capabilities that further enhance its position as one of the industry’s leading platforms for Feature Discovery and ML development. SAN MATEO, Calif., February 28, 2023 – dotData, a pioneer and leader of the feature discovery platform, announced the release of dotData Enterprise 2.12 to provide BI & analytics professionals with a wealth of new features aimed at adding transparency to the enterprise data, enhancing time-series modeling capabilities, making it easier to select the model and understand features. “dotData Enterprise is a cornerstone platform for dotData. Version 2.12 expands on dotData’s vision of making ML development more accessible to a broad range of users whil adding key capabilities that make discovering valuable business insights simple,” said Ryohei Fujimaki, Ph.D., founder and CEO of dotData. Key updates of dotData Enterprise Version 2.12 include: Greater Data Transparency dotData Enterprise 2.12 can now render sophisticated visualizations…
Empowers Azure Synapse Analytics users to discover deeper insights and enhance ML models SAN MATEO, Calif., December 6, 2022 – dotData, a pioneer and leader of the feature discovery platform announced that its award-winning Feature Factory technology is now fully integrated with and available on Microsoft’s Azure Synapse Analytics, that is an integrated cloud-native platform for data analytics. This new integration of dotData’s Feature Factory technology with Azure Synapse Analytics allows Azure Synapse users to easily and quickly discover 100X more features, derive deeper insights, and build more accurate models. “dotData’s Feature Factory technology impressed us from the beginning,” said Karthik Chandrasekhar, Sr. Vice President of Decision Science at Exeter Finance LLC. “Feature Factory uncovered unique, explainable, and actionable insights using our data on day one. The goal-driven nature of the feature search process in dotData ensures that the features generated are truly valuable to our business,” continued Mr. Chandrasekhar.…
SAN MATEO, Calif., April 27, 2022 – dotData, a leading company focused on delivering full-cycle data science automation and operationalization for the enterprise today announced that it has raised $31.6 million in Series B funding, bringing the total amount of funding raised to date to $74.6 million. The Series B financing round was led by OTSUKA CORPORATION, Sumitomo Mitsui Banking Corporation, and Sumitomo Mitsui Trust Bank, Limited. dotData, Inc. was founded in 2018 in Silicon Valley, California with the vision of creating a world where organizations of any size could leverage the power of data to create better products and services. dotData’s first offering - dotData Enterprise - delivered on the promise of full-cycle data science automation by leveraging dotData’s unique “Automated Feature Engineering” technology. dotData has helped customers in finance, telecommunications, manufacturing, retail, and other industries create value directly from data to improve business competitiveness, optimize demand forecasting, reduce…
dotData Featured for Fourth Consecutive Year as a Leading Innovator in Big Data Systems and Platforms dotData focused on delivering AI and Machine Learning automation solutions for the enterprise, announced today that CRN®, a brand of The Channel Company, will feature dotData on its 2022 Big Data 100 list. This annual list recognizes elite technology suppliers bringing cutting-edge services, solutions, and technologies focused on helping organizations effectively manage and consume the massive amounts of business data generated each day. The 2022 Big Data 100 list is available online at www.CRN.com/BigData100. A panel of CRN® editors identified IT vendors committed to offering innovative services and solutions for big data management and integration, business analytics, systems and platforms, and data science and machine learning to compile the list. The Big Data 100 list has become a trusted resource for solution providers seeking vendors that can help them do more with their data…
Maximizing profits through digital transformation 2021.09.24Mitsui Chemicals, Inc.NEC CorporationdotData, Inc. TOKYO and SAN MATEO, Calif., Sept 28, 2021 – dotData, Mitsui Chemicals, Inc. has teamed up with NEC Corporation to trial an AI-based system for forecasting changes in the prices of specific Mitsui Chemicals products that are sensitive to market conditions. Based on the results of this trial, Mitsui Chemicals intends to work toward the full introduction of an AI-driven demand forecasting system to avoid losses caused by price fluctuations and increase profits through appropriate procurement, production and sales. The trial was carried out using the dotData AI software platform developed by dotData, Inc., which automates all data science processes. Background Mitsui Chemicals has conventionally forecast trends in product demand from past price and profit trends, as well as from exchange rates and other data collated weekly, based on the knowledge and experience of the company’s business staff. However, as…
dotData empowers Tableau users to derive deeper, more diverse, and more predictive insights from their data via no-code, AI Automationmpowers Databricks users to explore 10x more data and discover 100x more features to deliver greater ML models SAN MATEO, Calif., Sept 14, 2021 – dotData, a leader in full-cycle enterprise AI automation solutions, today announced a partnership with Tableau, the world’s leading analytics platform, to enable Tableau users to leverage the power of dotData’s AI Automation Capabilities. As a result of this partnership, Tableau users will be able to build customized predictive analytics solutions faster and more easily. By combining Tableau’s data preparation and visualization capabilities with dotData’s augmented insights discovery and predictive modeling capabilities, Tableau users can perform full-cycle predictive analysis from raw data through data preparation and insight discovery through AI-based predictions and actionable dashboards. "This partnership empowers a new class of citizen data scientists through our low…
Empowers Databricks users to explore 10x more data and discover 100x more features to deliver greater ML models SAN MATEO, Calif., July 20, 2021 – dotData, a leader in full-cycle enterprise AI automation solutions, today announced that its award-winning Automated Feature Engineering (AutoFE) technology is now fully integrated with and available on the Databricks Platform. This integration of dotData’s AutoFE with the Databricks Platform allows Databricks users to explore 100x more features and boost model accuracy quickly, augmenting domain features with hundreds of AI features. dotData’s AutoFE is fully integrated with the Python data science workflow and explores millions of features from relational, transactional, temporal, geo-locational, and text data. It deals with multi-relational tables with billions of records and builds a ML-ready feature table just in hours. Benefits of dotData’s AutoFE integration with the Databricks platform include: All features and functionality of dotData's award-winning automated feature engineering and AutoML Leverages…
Integration Empowers Customers to Quickly and Easily Gain Insights and Intelligence Faster from Their Data SAN MATEO, Calif., June 15, 2021 – dotData, a leader in full-cycle enterprise AI automation solutions, today announced the availability of dotData Platform with Snowflake, a leading Cloud Data Platform. The new integration streamlines and simplifies the movement of data between Snowflake and dotData to help the companies’ joint customers democratize data science for the enterprise and derive more value from their AI and machine learning initiatives. Now, with a few clicks, all Snowflake users can leverage dotData’s award-winning automated feature engineering to discover hundreds of feature patterns from massive amounts of data stored in Snowflake and to automate full-cycle AI development from data collection and preparation through Automated Feature Engineering (AutoFE) to machine learning operationalization. "We are thrilled to be able to provide the power of Automated Feature Engineering for Snowflake clients. This will…
Install AI automation in one minute, develop features and ML models in ten minutes, deploy containerized AI instantly SAN MATEO, Calif., May 5, 2021 – dotData, a pioneer in AI automation and operationalization for the enterprise, today announced the launch of dotData Py Lite, a new containerized AI automation solution to enable data scientists to execute quick POCs and deploy dotData on their desktop. Designed for Python data scientists, dotData Py Lite offers dotData’s award-winning automated feature engineering and automated machine learning (ML) in a portable environment, allowing data scientists to explore 100x more features, augment their hypotheses, and improve their ML models quickly without having to rely on large and expensive enterprise-AI environments. Features and benefits of dotData Py Lite include: All features and functionality of dotData’s award-winning automated feature engineering and AutoML Containerized predictions from data through feature to ML scoring One-minute installation on Windows, MacOS or Linux…
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