DotData recently announced dotData AI-FastStart, a technology and services bundle that includes a one-year license to the full version of dotData autoML 2.0. The dotData FastTrack program is designed to help business intelligence teams add AI and machine learning models to their BI stacks and predictive analytics applications. The package is available to North American organizations that are not already existing dotData clients.

dotData offers an enterprise data science automation platform. The product can be piloted by both advanced and citizen data scientists. dotData can use flat files as well as relational data sets, and automatically discovers the table relationships and prepares data for feature engineering. Users can also generate automatic features and train models automatically via python ML algorithms. The API-based platform means you can validate model accuracy and retain models on the fly as well.

dotData AI-FastStart includes a full one-year license to the 3-compute node version of dotData Enterprise AutoML 2.0. The program is hosted by dotData on an enterprise-grade cloud infrastructure and features support from the company’s data science team to onboard and co-develop the first AI use case. AI-FastStart also touts 12 remote training sessions for an unlimited number of users, and organizations can cancel for any reason within 45 days of signing up.

In a media statement about the packaged release, the company’s founder and CEO Ryohei Fujimaki said: “We are seeing a huge demand for AI and ML capabilities in the market, but finding that many companies either do not have the internal resources to launch a data science program, or don’t know how to get one started. The AI-FastStart™ program was created as an all-inclusive bundle to help enterprises fast-track AI/ML deployments, and immediately realize value from their data.”

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dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status.

dotData achieved AWS ML Competency status only eight months after joining the AWS Partner Network (APN). The certification recognizes dotData as an APN Partner that accelerates the full-cycle ML and data science process and provides validation that dotData has deep expertise in artificial intelligence (AI) and ML on AWS and can deliver their organization’s solutions seamlessly on AWS. dotData achieved AWS ML Competency status through a rigorous qualification process that included a strict validation of their capabilities to demonstrate technical proficiency and proven customer success, as well as a technical audit of its dotData Enterprise solution.

dotData provides solutions designed to improve the productivity of data science projects, which traditionally require extensive manual effort from valuable and skilled resources, by automating the full life-cycle of the data science process, from business raw data through feature engineering to implementation of ML in production utilizing its proprietary AI technologies.

dotData’s AI-powered feature engineering automatically applies data transformation, cleansing, normalization, aggregation, and combination, and transforms hundreds of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects.

“By leveraging the ease of use of dotData Enterprise and the power of AWS, we were able to develop and deploy our first machine learning models in weeks, without the need for data scientists,” said Phillip Byrnes, Director of Business Intelligence, of US Electrical Services Inc. an independent electrical supply distributor headquartered in Middletown CT. “dotData Enterprise is like having a mathematician in a box, it helps us optimize our business by leveraging our existing Business Intelligence teams and resources. The product is that easy to use.”

“From its foundation, dotData’s vision has been to make AI and ML accessible to as many people in the enterprise as possible. We are proud of the successful experience of US Electrical Services’ BI team, which is a testament to our commitment to truly democratize AI in enterprise,” said Ryohei Fujimaki, founder and CEO of dotData. “Achieving AWS ML Competency status in just eight months recognizes our ability to deliver an outstanding product that dramatically accelerates the AI and ML initiatives of AWS users and maximizes their business impacts.”

AWS ML Competency Partners provide solutions that help organizations solve their data challenges and enable ML and data science workflows. The program is designed to highlight APN Partners who have demonstrated technical proficiency in specialized solution areas and helps customers find the most qualified organizations with deep expertise and proven customer success.

dotData democratizes data science by enabling existing resources to perform data science tasks, making enterprise data science scalable and sustainable. dotData automates up to 100 percent of the data science workflow, enabling users to connect directly to their enterprise data sources to discover and evaluate millions of features from complex table structures and huge data sets with minimal user input. dotData is also designed to operationalize data science by producing both feature and ML scoring pipelines in production, which IT teams can then immediately integrate with business workflow. This can further automate the time-consuming and arduous process of maintaining the deployed pipeline to ensure repeatability as data changes over time. With the dotData GUI, the data science task becomes a five-minute operation, requiring neither significant data science experience nor SQL/Python/R coding.

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dotData, the first and only company focused on delivering full-cycle data science automation and operationalization for the enterprise, announced that global technology leader Seiko Epson Corporation (“Epson”) has selected dotData to accelerate and democratize data science across its organization.

Epson is a global technology leader and innovator across multiple categories including communications, wearables, and robotics. The organization deployed dotData Enterprise to accelerate and democratize its AI development as a part of its AI and Analytics Platform strategy.

“Epson has been developing an AI and data analytics platform to leverage the massive amounts of data we have, but it is still a challenge to fully and effectively extract business value and improve the quality of work by utilizing AI and data,” said Mr. Kazunori Takahashi, General Manager of Information Technology Promotion Department, Seiko Epson Corporation. “We have high expectations for dotData as a platform that will enable every business department and individual, across the entire value chain from design to manufacturing to sales, to leverage their data for important business insights through automated data science processes without relying on data science experts. This will enable us to accelerate and democratize our AI developments and realize rapid value creation.”

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 of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects.

“The dotData full-cycle automation platform will enable Epson to accelerate and democratize its data science initiatives so that its data science team can focus on developing high-quality models that drive high business impact across the organization,” said Ryohei Fujimaki, Ph.D., CEO, and founder of dotData. “Our platform will drastically reduce the amount of time it takes Epson to derive insights from its data, creating value in days instead of months. We are pleased to be partnering with the Epson team to help them drive deeper business insights, and look forward to working closely with the team to expand the dotData platform to additional use cases.”

dotData democratizes data science by enabling existing resources to perform data science tasks, making enterprise data science scalable and sustainable. dotData also operationalizes data science by producing both feature and ML scoring pipelines in production, which IT teams can then immediately integrate with business workflow. This further automates the time-consuming and arduous process of maintaining the deployed pipeline to ensure repeatability as data changes over time.  With the dotData GUI, the data science task becomes a five-minute operation, requiring neither significant data science experience nor SQL/Python/R coding.

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