Introduction
This is Abe from the Lakehouse Department of the GLB Division. I wrote an article summarizing the contents of the session based on the report by Mr. Nagae, who is participating in Data + AI SUMMIT2023 (DAIS) on site.
Articles about the session at DAIS are summarized on the special site below. I would appreciate it if you could see this too.
Introduction
This time, I will explain the lecture I watched the other day, "Why a Major Japanese Financial Institution Chose Databricks to Accelerate its Data and AI-Driven Journey." In this presentation, the vision of NTT Data and the Trusted Data Foundation, which aims to democratize data and AI using Databricks, were introduced. The contents are very interesting for business managers and personnel who are interested in data analysis and AI, and for engineers who are interested in cloud services and big data.
Introduction of NTT Data's Vision and Trusted Data Foundation
NTT Data's mission is to improve the maturity of data through AI visualization while promoting data visualization. To this end, we are working to improve data quality, promote data utilization, and maximize data value. Through these efforts, we are helping companies to use data more effectively.
In this lecture, NTT Data introduced the cloud-based data analysis platform "Trusted Data Foundation". He also talked about his efforts to democratize data and AI using Databricks.
NTT Data aims to improve data maturity
NTT Data's mission is to improve the maturity of data through AI visualization as it advances data visualization. To that end, we are implementing the following initiatives.
- Improve data quality
- Promotion of data utilization
- Maximize data value
Through these efforts, we are helping companies to use data more effectively.
Characteristics of Trusted Data Foundation
Trusted Data Foundation is a cloud-based data analytics platform with the following features:
- Cloud-native: High scalability and flexibility because it runs on the cloud
- Integration of data and AI: More advanced analysis is possible by combining data analysis and AI technology
- Security and Privacy: Designed with a focus on protecting your data
Taking advantage of these features, we provide an environment in which companies can efficiently analyze data.
Democratizing Data and AI with Databricks
By using Databricks for Trusted Data Foundation, we can see that we are abstracting complex processing from conventional architecture and democratizing data and AI. Specifically, we can see that multiple ETL processes in Delta Lake have been replaced with Databricks, and that they are working smoothly with BI and AI/ML tools.
Conclusion
This content based on reports from members on site participating in DAIS sessions. During the DAIS period, articles related to the sessions will be posted on the special site below, so please take a look.
Translated by Johann
Thank you for your continued support!
