News Category: Press Release

SAN MATEO, Calif., August 6, 2019 – dotData, the first and only company focused on delivering full-cycle data science automation and operationalization for the enterprise today announced the availability of Version 1.6 of dotData Data Enterprise and Version 1.2 of dotDataPy. The new updates add significant enhancements to both versions of its data science automation platform, to provide users with deeper insights, increased flexibility, and greater security to meet their specific business goals. dotData provides solutions that dramatically improve the productivity of data science projects, which traditionally require extensive manual effort from valuable and skilled resources, by automating the data science process utilizing its proprietary artificial intelligence (AI) technologies. dotData was recently named a Leader in The Forrester New WaveTM: Automation-Focused Machine Learning (AutoML) Solutions, Q2 2019.  “One of the most exciting enhancements in the update is the ability to automatically generate features from text data in combination with other…

Company is Recognized by CRN for Accelerating Innovation in Data Science Automation SAN MATEO, Calif., July 22, 2019 – dotData, the first and only company focused on delivering full-cycle data science automation and operationalization for the enterprise, announced today that CRN®, a brand of The Channel Company, has named dotData to its 2019 Emerging Vendors list in the Big Data category. This annual list honors recently founded, up-and-coming technology suppliers that prioritize technological innovation and shape the IT channel’s future. It recognizes channel-focused companies across seven categories: Cloud, Data Center, Security, Big Data, Internet of Things (IoT), and Storage. dotData is the only platform that combines AI-powered feature engineering and AutoML to automate the full life-cycle of the data science process, from source data through feature engineering to implementation of machine learning in production. dotData's AI-powered feature engineering automatically applies data transformation, cleansing, normalization, aggregation, and combination and transforms hundreds…

Company’s Data Science Automation Platform Recognized by Independent Organization for Accelerating and Democratizing Data ScienceSAN MATEO, Calif., June 26, 2019 – dotData, the first and only company focused on delivering full-cycle data science automation and operationalization for the enterprise, today announced that it has been selected as the winner of the “Best Machine Learning Platform” award from AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today. As companies forge ahead with digital transformations, they are facing the difficult task of infusing complicated data science into various business functions, due to challenges with time, skill and impact. To address this need, the dotData platform automates and streamlines the entire data science process, from source data through feature engineering to implementation of machine learning in production. dotData's AI-powered feature engineering automatically applies data transformation, cleansing, normalization, aggregation, and combination…

CEO and Vice President of Data Science and Solutions to Discuss Data Science Automation Trends and Best Practices San Mateo, CA – June 13, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that it will present three sessions at Predictive Analytics World for Business Las Vegas 2019, taking place June 16-20 at Caesars Palace, Las Vegas. dotData CEO Ryohei Fujimaki, Ph.D. will deliver a general session, How Automation will Change Data Science, at 9:40 a.m. on Wednesday, June 19th.  Additionally dotData Vice President of Data Science and Solutions, Aaron Cheng, Ph.D, will present a lunch and learn session on Tuesday, June 18 at 12:20 p.m., to discuss and demonstrate how to implement an end-to-end data science pipeline with a single line of code on Jupyter notebook; and will participate in an expert panel session, Embedding Analytics…

dotData Enterprise Receives a Differentiated Rating, the Highest Possible Score, in Seven of Ten Criteria; Cited as AutoML’s Best Kept Secret San Mateo, CA – May 28, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that it has been named a Leader in The Forrester New WaveTM: Automation-Focused Machine Learning (AutoML) Solutions, Q2 2019. The full report is available at https://dotdata.com/forresterQ219. The Forrester New Wave™ evaluates AutoML emerging technology vendors based on 10 criteria and details how each vendor fulfills the criteria requirements. dotData received a differentiated rating, the highest possible score, in seven criteria including data, feature engineering, methods, training, evaluation, model operations, and vision. Specifically, Forrester states that dotData: Is AutoML’s best kept secret. dotData offers most of the functionality of better-known vendors, and it frequently surpasses them in valuable enterprise use cases involving…

Company Expands to Meet Accelerating Demand for its Data Science Automation Platform San Mateo, CA – May 21, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that it has expanded its leadership team with the appointment of Walter Paliska as vice president of marketing. In this role, Paliska will lead dotData’s product marketing and demand generation initiatives and will be instrumental to the company’s growth strategy as it expands to meet market demand for its data science automation platform. Paliska is a proven enterprise marketing leader with more than 25 years of experience working for technology organizations in the AI, analytics, business intelligence, and digital marketing space, including multiple successful startups. Prior to joining dotData, Paliska was vice president of marketing for digital marketing vendor, Milestone Inc., and previously held vice president positions at Quarrio, an…

CEO Ryohei Fujimaki, Ph.D., to Speak on Leveraging AI to Drive Business Results for Insurers San Mateo, CA – April 30, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that its CEO, Ryohei Fujimaki, Ph.D., will present during two sessions at Insurance AI & Analytics USA, taking place May 2-3, 2019 in Chicago, Illinois. Fujimaki will deliver a general session presentation, “Unlock the Power of Data Science to Ensure Long-Term Project Success,” on May 2 at 9:30 a.m., and will participate in a panel session and joint Q&A with insurance industry leaders following the session, at 10:10 a.m.In his presentation, Fujimaki will share how data science automation can help insurance organizations overcome various process and technology challenges to drive results across product development, underwriting, customer service, product innovation, and claims. dotData will also lead a lunchtime…

Version 1.4 adds new machine learning algorithms, AI-powered feature engineering from geo-temporal data, and significant enhancements in automated data preprocessing and data collection San Mateo, CA – March 12, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced the availability of Version 1.4 of its Data Science Automation Platform. This latest update adds significant enhancements to the platform and provides users with deeper insights, increased flexibility, ease-of-use, and greater performance to meet their specific business goals. dotData will be showcasing its Enterprise Version 1.4 and dotDataPy Version 1.0 at the Gartner Data and Analytics Summit from March 18-21 in Orlando, Florida.  They will also present a session, “Why Do 85% of Enterprise Data Science Projects Fail?”, on Wednesday, March 20. dotData’s AI-powered Data Science Automation Platform completely automates the entire data science process, from data collection through…

NEC Spin-off Moves to New San Mateo Building as Team and Product Demand Grows San Mateo, CA – Feb. 13, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced the relocation of its U.S. headquarters from Cupertino to San Mateo, California, to accommodate its rapid growth and future expansion plans for the Company. The new office space provides additional capacity for the Company’s expansion of data science, software development, engineering, sales, marketing and service teams across the entity. “This is an exciting time for dotData. In the past year, we’ve launched our Data Science Automation Platform, assembled an incredible team, and completed numerous successful deployments across multiple industries,” said Ryohei Fujimaki, Ph.D., CEO and founder of dotData. “Our new offices create an ideal work environment for current and future staff, enabling ongoing company growth.” dotData’s AI-powered Data…

Designed for Advanced Data Scientists, Enabling End-to-End Enterprise Data Science, Increased Flexibility and Productivity With a Few Lines of Python Code San Mateo, CA – Jan. 29, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced the launch of dotDataPy, a lightweight and scalable Python library that enables advanced users to access dotData’s data science automation functionality, including AI-powered feature engineering and automated machine learning. With just a few lines of code, data scientists can now create, execute and validate end-to-end data science pipelines. dotDataPy can be easily integrated with Jupyter notebooks and other Python development environments.  It enables users to fully leverage the advanced Python ecosystem, including rich visualization (e.g. Matplotlib and Plotly), state-of-the-art machine learning / deep learning tools (e.g. scikit-learn, Spark MLlib, PyTorch, and TensorFlow), and flexible DataFrames (e.g. pandas and PySpark).  dotDataPy enables…

Company Appoints Vice President of Data Science and Solutions and Vice President of Sales Cupertino, CA – Jan. 14, 2019 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that it has expanded its leadership team with the addition of Aaron Cheng, Ph.D. as Vice President of Data Science and Solutions, and Radesh Ganeshkumar as Vice President of Sales. Cheng and Ganeshkumar collectively bring extensive leadership experience in data science, big data and technology to dotData. They will be instrumental to the company’s growth strategy as it expands to meet global market demand for its data science automation platform. As Vice President of Data Science and Solutions, Cheng leads the dotData data science team and works with clients to solve their most challenging problems. Cheng is a data science practitioner with 14 years of research and industry experience.  He…

Paper highlights the benefits of automating the full data science process, with focus on automated feature engineering Cupertino, CA – December 11, 2018 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today released a new white paper, “Why Machine Learning Automation Alone Is Not Enough,” that discusses the distinctions between data science automation and machine learning (ML) automation, and the benefits to the enterprise of automating the full data science process.  The white paper is available for download on dotdata.com. “While machine learning automation has been highly publicized and has helped progress some ML initiatives, machine learning automation platforms only automate a part of the data science process.  They rely on the manual efforts of domain experts and data scientists to complete critical steps such as data preparation and feature engineering,” said Ryohei Fujimaki, PhD, CEO of dotData. "As…