DataRobot | transcosmos

■Affordable initial implementation package starts from ¥3 million/year

To date, DataRobot is empowering approximately 200 companies in Japan. Now, to make DataRobot more accessible for more clients, trancosmos has released an affordable implementation package for the first-time users. The package lowers the hurdle for clients to implement DataRobot even for those who have previously decided not to implement DataRobot due to the massive needed initially before truly knowing the real benefits of the AI projects.

■New 14-day trial service

Up until now, DataRobot trial service was not available. Now, transcosmos released a 14-day trial service for clients who wish to try and check DataRobot features prior to signing a one-year deployment contract. transcosmos will offer the trial service together with its technical support services for necessary steps to use DataRobot on a trial basis before and after clients implement DataRobot. The steps include checking input data before feeding into DataRobot, operational training and regular meetings after the implementation.

■transcosmos distinctive features as a DataRobot agent

Building on its expertise in data analytics in the marketing sector, primarily in digital marketing, e-commerce website and contact center services, transcosmos is driving clients’ success and democratization of AI and machine learning. What’s more, for clients who have not yet carried out a machine learning project, transcosmos data scientists provide technical support services that range from data preparation to implementation.

■DataRobot introduction webinar coming soon (joint-webinar with DataRobot Japan)

transcosmos will host webinars to introduce DataRobot. The seminars are centered around two themes that showcase two of the most successful DataRobot use cases, one in helping businesses maximize revenues from posted direct mails and another on demand prediction. The webinars include DataRobot demonstrations and case studies on each theme. Register and attend the webinars from the URLs shown below (all URLs are in Japanese only).

1. 1.Thursday, June 25, 2020 17:00 – 18:00: Maximize revenues from posted DMs with DataRobot (free of charge)
2. 2.Thursday, July 2, 2020 17:00-18:00: Demand prediction by DataRobot (free of charge)

■ About DataRobot　(Japanese only: https://www.trans-cosmos.co.jp/data/datarobot_01/)

DataRobot is an AI platform that empowers users of all skill levels to make better predictions faster. The platform is built by a world-class data scientist team, consisting of high-performers on Kaggle, an online data scientist community where data scientists across the globe compete with each other.

AI automatically selects machine learning algorithms and builds predictive models that best fit each project, thereby freeing people from mastering programming and coding skills and expertise in statistics that were otherwise necessary.

With its various features, DataRobot automates the entire machine learning processes from building to deploying machine learning models, thereby enabling clients to build more accurate predictive models than ever before whilst reducing man-hours. What’s more, DataRobot has released two new products, “DataRobot Paxata,” a product for data processing and shaping which is one of the necessary steps in machine learning, and “DataRobot MLOps (Machine Learning Operation)” that manages the models. With these new products in place, DataRobot now supports the end-to-end process to prepare, build, deploy and maintain AI.

■ DataRobot ships a wave of updates and adds new features

The cloud-based DataRobot frequently releases updates, adding the latest algorithms and new features. Below sheds a spotlight on two of the new features added in the latest updates.

1.(Automated) Feature Discovery
Feature Discovery extracts features from multiple related datasets, merges the tables with the click of a button and performs feature engineering automatically. Now, the feature allows users to automate data preparation process, the highest hurdle to overcome in using DataRobot.