Thank you for your continued patronage of DataRobot. In Japan in 2021, the long -lasting pandemic life -style transformation, so that DX (digital transformation) has been established, such as digitizing customer contact points and remote work, making it difficult to obtain so far. Analog information is also digitized and can be obtained as data. While the total amount of business data has increased dramatically, many companies are struggling to acquire an effective insights for business, even though they are aware of the huge possibilities of the collected data. However, even in this turbulent era, there are quite a few companies that steadily promote the use of AI and produce results. They create true business value from huge amounts of data to continue to grow without stopping business even in the age of change. DataRobot also achieved $ 300 million funding under Altimeter Capital and Tiger Global (https: // wwww (https: // www.datarobot.Com/JP/NEWS/DATAROBOT-Unveils-Major-Milestone-300M-Series-G-Funding-Investment/).datarobot.COM/JP/NEWS/DATAROBOT-LAUNCHES-JAPANESE-OF-OF-DATAROBOT-AI-CLOUD-HOSTS-AI-EXPERINCE-VIRTUAL-CONFERENCE-JAPAN/)It was a year that evolved to realize AI saxess.We believe that this is also the result of the special support and complements from customers and partner companies.Once again, I would like to express my deep gratitude.We will continue to grow your business with the huge power of AI, "10 key points that win a success in AI in 2022 (https: // www).datarobot.COM/JP/Blog/10-Keys-to-AI-SUCCESS-II-2022/) has been announced. In the new year, we will touch on the three points, "Dicision Intelligence", "End Two -End AI", and "MLOPS's Seeing", which are considered to be particularly important in Japan, and delve into how companies can use data. I would like. I hope it will be a hint to use data in the 2022 business. (1) How is the decision made in the company's business in the company? For many organizations, decision -making is a complex process wrapped in uncertainty, and in many cases it is not ruled. In the future business, it is necessary to make decisions based on information that AI is derived from data. DataRobot's Decision Intelligence Flow (https: // www.datarobot.COM/JP/Platform/Decision-Intelligence-Flows/) supports a smart decision to make a smart decision in addition to the prediction of the machine learning model.(2) Integration of tech stacks: Why do you make a large amount of preconed investment despite the heavy burden on the introduction of the end -to -end AIAI technology?That's because you can't ignore positive returns that exceed your investment.Survey (DataRobot, Driving Roi with AI, 2020) (https: // www.datarobot.According to Com/LP/Driving-Roi-With-AI/), companies that lead the use of AI have produced more than five times.ROI is higher than a late -group company that is delaying the introduction of AI.Organizations that introduce AI survive, and companies that are not, will be delayed.In addition, it is not a separate tool that makes it difficult for companies to link systems, but an end -to -end AI solution (https: // wwww (https: // www.datarobot.It is essential to adopt com/jp/platform/trusted-ai/).This means adopting a solution that can be independent of a company that can be independent.In this approach, regardless of where it is hosted in the cloud or on -premises infrastructure, deploying the AI products freely, deploying one of the three major clouds and your AI (https: // wwww (https: // www..datarobot.COM/JP/Platform/Private-AI-Cloud/) can be managed.(3) One of the most important functions in the operation of the rise AI of MLOPS is mlops (https: // www.datarobot.Isn't it com/jp/platform/mlops/)? We are gaining business valuable information from the operating model. Therefore, the competitive advantage of the company depends on how quickly the AI model in the production environment can be expanded, repeated and operated. In other words, AI speed and scale are important. MLOPS provides a solution to some important issues there. MLOPS provides a single environment for continuous integration and development of AI, which can significantly reduce the complexity of most organizations in the AI project. With this solution, it is possible to centrally manage and monitor everything, regardless of where the model is hosted and developed. Is the AI system operated by your organization realized the three key points introduced this time? The DataRobot AI Cloud platform covers not only these three key points to win success with AI, but also seven important key points for gaining further competitive advantage, accelerating customer AI introduction. A single integrated platform. In 2022, DataRobot was a single -integrated platform and domain knowledge of each industry, such as a single integrated platform and manufacturing, distribution / retail, finance, healthcare, and publiccare, for customers who want to win success in AI in a frequent era. A wealth of data scientists, and AI native strategic success teams that support AI strategy formulation and next -generation platform concepts will be supported together. DataRobot, Inc.Japan Country Manager Michio Baba "10 Keypoints to win success in AI in 2022" and DataRobot details on the website (https: // www.datarobot.Please see COM/JP/Blog/10-Keys-to-AI-SUCCESS-IN-2022/).■ "DataRobot, Inc.DataRobot AI Cloud is the next generation of AI.Unified platforms are constructed in response to all data types, all users, and environments, and provide a business insight that is important for all organizations.DataRobot is trusted by global customers beyond the industry and industries, including one -third of companies selected as Fortune 50.■ Trademark -related ・ "DataRobot" is DataRobot, Inc.It is a registered trademark.・ Other company names, product names, service names, etc. are registered trademarks or trademarks of each company.* The following is a special information limited to media officials.Please refrain from disclosing information on personal SNS etc.
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