News Category: Press Release

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…

dotData Featured for Third Consecutive Year as a Leading Innovator in Big Data Systems and Platforms SAN MATEO, Calif., April 28, 2021 – dotData, a pioneer in AI and machine learning automation for the enterprise, announced today that CRN®, a brand of The Channel Company, will feature dotData on its 2021 Big Data 100 list. This annual list recognizes elite technology vendors that go above and beyond by delivering innovation-driven products and services for solution providers that in turn help enterprise organizations better manage and utilize the massive amounts of business data they generate. The 2021 Big Data 100 list is available online at www.CRN.com/BigData100. A team of CRN editors compiled this year’s Big Data 100 list by identifying IT vendors that have consistently made technological innovation a top priority through their offering of products and services for business analytics, systems and platforms, big data management and integration tools, database…

Risk-free, all-inclusive bundle delivers full access to end-to-end AI/ML automation, hosting, co-developing use cases to generate measurable business values in 45 days SAN MATEO, Calif., February 24, 2021 – dotData, a pioneer in delivering full-cycle data science automation and operationalization for the enterprise, today announced dotData Cloud, a new risk-free, AI-automation software platform and services designed to empower business intelligence (BI) teams with the ability to quickly and efficiently automate 100 percent of AI/ML development with support to help enterprises achieve measurable business value in 45 days. The solution was developed specifically to support growing enterprise organizations with small or no data science teams who want to launch or accelerate their data science practice.  At the core of dotData’s new cloud-based offering is access to dotData’s highly-available and infinitely-scalable enterprise-grade full-cycle data science automation platform, which accelerates ROI and lowers the total cost of model development by automating the entire…

Integration Augments dotData’s Model Deployment and Operationalization Framework and Enhances dotData’s MLOps Capability for AWS Users San Mateo, CA – October 20, 2020 – dotData, a leader in AutoML 2.0 software to help accelerate AI/ML development and operationalization for the enterprise, today announced that dotDataStream now fully supports Amazon SageMaker integration, one of the top MLOps platforms in the industry. Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to deploy machine learning (ML) models quickly. Now, with simple point-and-click operations, dotData users can launch dotData Stream on Amazon SageMaker and leverage the platform’s fully-managed capability to monitor, manage, orchestrate, govern and maintain AI/ML models developed using dotData Platform. This integration provides dotData/AWS users with a full-cycle data science automation experience, from automated AI/ML development using dotData Enterprise through instant AI/ML deployment using dotData Stream to AI/ML lifecycle management with AWS SageMaker. The…

SAN MATEO, Calif., October 6, 2020 – dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, today announced that it will co-present with dotData client Convergint Technologies at the Forrester Data Strategy and Insights North America, taking place October 13-15, 2020 as a live virtual conference. dotData’s vice president of Data Science, Aaron Cheng, Ph.D. and Tom Schmitt, Director, Enterprise Architecture for Convergint Technologies, will co-present a case study discussing how Convergint leveraged dotData’s no-code AI automation platform to accelerate their digital transformation initiatives using AI and Machine Learning, resulting in the ability to build forecasting models that were 70 percent more accurate than Cognizant’s benchmark without data scientists and in just a few hours. The session, Driving Digital Transformation with No-Code AI, will take place on Thursday, Oct 15 between 12:45 pm – 1:05 pm EDT.  dotData will also host a virtual booth at Forrester…

dotData Is Now Fully Available on Azure to Accelerate Data Science and Machine Learning for Azure Users.SAN MATEO, Calif., September 22, 2020 – dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, today announced that dotData Enterprise is now commercially available on Microsoft Azure and accessible through the Microsoft Azure Marketplace.  Integration of dotData’s AutoML 2.0 platform with Microsoft’s highly available, trusted and scalable Azure cloud platform provides increased speed and efficiency of data science and machine learning processes coupled with Azure’s strong managed IaaS/PaaS capabilities. In addition, dotData has added Microsoft SQL Server and Azure SQL Database connectors which allows users to quickly and easily develop AI/ML models based on data stored in their corporate databases. By choosing the “Transact” option on the dotData solutions page in the Azure Marketplace, customers can contract directly through the Azure Marketplace for rapid deployment and implementation of the…

New updates significantly simplify AI and ML experience for citizen data scientists, amplify performance, and improve interpretability through AutoML 2.0 San Mateo, CA – July 15, 2020 – dotData, a leader in AutoML 2.0 software to help accelerate AI/ML development and operationalization for the enterprise, today announced the release of dotData Enterprise Version 2.0, with significant updates and new features that completely change the AI/ML experience for citizen data scientists and deliver greater performance and transparency. dotData released Version 2.0 as the Company continues to expand its product offerings and scale up operations to meet growing market demand for its full-cycle data science automation platform. In addition to full UX remodeling of its interface, additional key updates that deliver superior AI/ML experience include auto-balancing of accuracy and transparency, more accurate and interpretable auto-designed features, expanded out-of-the-box connectivities, and seamless model porting with dotDataPy and dotData Stream. “We take the quality…

Highly Scalable and Effective AI/ML Container, Easily Deployable Either in the Cloud for ML Orchestration or at the Edge for Intelligent IoT SAN MATEO, Calif., July 7, 2020 /PRNewswire/ -- dotData, a leader in full-cycle data science automation and operationalization for the enterprise, today launcheddotData Stream, a new containerized AI/ML model that enables real-time predictive capabilities for dotData users. dotData Stream was developed to meet the growing market demand for real-time prediction capabilities for use cases such as fraud detection, automated underwriting, dynamic pricing, industrial IoT, and more. dotData Stream performs real-time predictions using AI/ML models developed on the dotData Platform, including feature transformation such as one-hot encoding, missing value imputation, data normalization, and outlier filter. It is highly scalable and effective – a single prediction can be performed as fast as tens of milliseconds or even faster for microbatch predictions. Its deployment is as easy and simple as launching a docker container…