May, 16 2017 10:50 JST

Source: Fujitsu Ltd

Fujitsu Deploys Innovative AI Analytics to Nomura Securities to Improve Data Quality

Easily discovers anomalies in everyday data without needing prior training

TOKYO, May, 16 2017 - (JCN Newswire) - Fujitsu Limited today announced that it is providing Nomura Securities Co., Ltd. with an analytical AI (machine learning technology), which will be deployed in June 2017. This will enable further improvements to data quality in areas where conventional methods of ensuring data quality had reached their limits by taking an autonomous analytical approach, using actual data and AI, to find situations that deviate from the norm.

Using the opportunity of this deployment, Nomura Securities plans to expand the range of its systems that apply this technology, with the goal of further improving data quality. In addition, noting the general applicability of the technology that is now being adopted by Nomura Securities, Fujitsu plans to offer it in other industries as well.

Background

In Nomura Securities' IT department, there has been a demand for a high quality system that can swiftly deal with the fast-paced changes in the environment of the securities business. In addition, alongside the processing performed by securities systems, there has also been needs for continuous improvement in the quality of data recorded and stored day by day through such processes as a variety of manual entry tasks and internal business processes. In previous methods of ensuring data quality, however, there were limitations in the ability to grasp human input errors and the patterns of occurrences when data deviated from the norm.

About the Analytical AI Technology

Fujitsu and Nomura Securities carried out a joint trial focusing on the occurrence tendencies and frequencies of past data. Using machine learning core technology and acceleration technology developed by Fujitsu Laboratories Ltd., the two companies verified whether this system can autonomously analyze data simply run through the system, without any prior training, after separating it into ordinary patterns and patterns that deviate from the norm (anomalies).

Given the trial results, Nomura Securities plans to deploy data analysis AI based on these technologies.

Example of Use at Nomura Securities

1. Significantly improving verification task efficiency for large volumes of operational data

Previously, there had been cases in which manually checking large volumes of operational data in their entirety was impractical, meaning that ordinary system checks were not comprehensive. In this trial at Nomura Securities, by applying the analytical AI, a few dozen records that deviated from the norm were separated out from records numbering in the tens or hundreds of millions, including a few records showing patterns that even experts could not have recognized, enabling new discoveries. Because the analytical AI can quickly detect patterns that differ from the everyday norm, this system can significantly improve the efficiency of operations. Moreover, by building up a store of new discoveries from the detected patterns as expert knowledge, ongoing improvements in data quality and analysis accuracy can be expected.

2. Efficient and comprehensive extraction of test cases through pattern analysis

Previously, the creation of test cases had to rely on the knowledge of experts, but by applying analytical AI, it is possible for it to autonomously train itself on the operational data that is produced day by day, reflecting new data patterns in test cases. Because it can comprehensively extract data patterns that are highly important to operations, while at the same time omitting unnecessary data patterns, enabling efficient test validation, this system can contribute to improving test quality and productivity.

http://www.acnnewswire.com/topimg/Low_FujitsuAI516Fig1.jpg
Figure 1: Learning process

http://www.acnnewswire.com/topimg/Low_FujitsuAI516Fig2.jpg
Figure 2: Features of the technology used in this system


About Fujitsu Ltd
Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 155,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.5 trillion yen (US$40 billion) for the fiscal year ended March 31, 2017. For more information, please see http://www.fujitsu.com.

* Please see this press release, with images, at:
http://www.fujitsu.com/global/about/resources/news/press-releases/


Contact:
Fujitsu Limited
Public and Investor Relations
Tel: +81-3-3215-5259
URL: www.fujitsu.com/global/news/contacts/
Source: Fujitsu Ltd
Sectors: Enterprise IT

Copyright ©2017 JCN Newswire. All rights reserved. A division of Japan Corporate News Network.

Multimedia


Figure 1: Learning process
 
Figure 2: Features of the technology used in this system
 

Related Press Release


Fujitsu Supports Digital Transformation with 17 AI Technology Offerings
November 16 2017 10:19 JST
 
Fujitsu Develops Security Technology to Safely Connect Blockchains
November 15 2017 10:22 JST
 
Fujitsu Receives Order for Supercomputer System from the Institute of Fluid Science at Tohoku University
November 10 2017 12:19 JST
 
Fujitsu Launches CHORDSHIP as Next Step in Customer Engagement
November 08 2017 18:32 JST
 
Fujitsu Launches New PRIMEQUEST Series, Boosts Processing Performance by up to 50%
November 08 2017 09:55 JST
 
Fujitsu Launches Field Trial of Ultra High-Density Distributed Antenna Systems for 5G
November 07 2017 10:48 JST
 
Fujitsu, Lenovo and DBJ form PC Joint Venture
November 03 2017 13:52 JST
 
Fujitsu and NetApp Launch Converged Infrastructure Solution NFLEX for Strategic IT Delivery
November 03 2017 09:59 JST
 
Fujitsu Signs MoU with ARTC to Jointly Develop Smart Manufacturing Solutions for Future Factories
November 02 2017 16:27 JST
 
Fujitsu Field Trials Ship Performance Estimation Technology with Mitsui O.S.K. Lines and Ube Shipping & Logistics
November 02 2017 08:43 JST
 
More Press release >>

Latest Press Release


More Latest Release >>