Fujitsu AI Scoring Platform Powers New Galileo XAI Solution from LARUS for Financial Services

August 4, 2021

TOKYO, Aug. 4, 2021 — Italian solutions vendor LARUS Business Automation S.r.l. and Fujitsu Limited plan to leverage components of Fujitsu’s Finplex AI Scoring Platform Service EnsemBiz for LARUS’ new Graph XAI service, Galileo XAI, an offering for the financial services industry. Fujitsu’s Finplex EnsemBiz offers users functionality ideally suited to financial services applications with added capabilities based on Fujitsu Research’s existing “Deep Tensor” machine learning technology for analyzing graph-structure data. LARUS will begin offering its new Galileo XAI solution from August, while Fujitsu will offer related integration services to customers in the Japanese market.

The combination of LARUS’ graph-powered platform with Fujitsu’s Finplex EnsemBiz makes it possible to achieve highly accurate analysis of graph structure data, a task not feasible with conventional technologies. Fujitsu and LARUS have developed this technology to mitigate potential risks and costs facing financial institutions, delivering a solution that can automatically detect sophisticated and complex illegal transactions, including self-financing through advanced analysis and machine learning.

“The financial services industry is keen to incorporate advanced AI technologies to a range of applications to gain competitive advantage and to help businesses in the digitalization of payments” said Stefano Gatti, Head of Data and Analytics at Nexi Payments S.p.A., The European PayTech leader. “This joint offering from Fujitsu and LARUS addresses a core industry objective to combat fraud and enhance compliance capabilities with connected data science and graph-based approaches.”

“To ease people’s concerns about AI and further Fujitsu’s goal to make AI trustworthy, we’ve added explainable graph AI `Deep Tensor’ technology to `Finplex EnsemBiz’, which offers users the ability to understand and verify the reasoning behind the outputs of a system’s decision-making processes” said Masaru Yagi, Senior Vice President of Financial & Retail Solution Business Group at Fujitsu Limited. “The transparency and peace of mind provided by Fujitsu’s explainable AI technology will allow customers, especially those in the financial services industry, to confidently embrace innovations that deliver an edge in business. Fujitsu and LARUS look forward to offering graph AI solutions to other industry verticals.”

Accelerating digital transformation in financial services with AI

Since January 2020, LARUS and Fujitsu have collaborated on a number of proof-of-concept trials in the financial services space, including POCs aimed at preventing the illegal use of credit cards and illegal automobile insurance claims, obtaining verification results of increased detection rates and decreased false detection rates.

LARUS, a Neo4j, Inc. top premier partner based in Italy with over 15 years of business-critical project expertise, helps companies around the world design large-scale, data-driven systems based on the connected data science. With a graph-based approach to artificial intelligence and by empowering AI technology with related context, LARUS helps organizations enhance the efficiency of their business operations by extracting actionable insights from connected data.

Fujitsu’s Finplex EnsemBiz is a service primarily for financial institutions that streamlines loan screening processes and detects fraudulent claims by showing the basis for AI predictions. Fujitsu has added functions utilizing its proprietary AI technology “Deep Tensor,” which derives new knowledge from graph structure data representing connections between people and goods.

Unlike traditional relational data, graph structure data represents diverse and complex data in the form of a network. Fujitsu’s “Deep Tensor” technology can analyze and utilize relationships between graph structure data automatically and more efficiently, making it possible to detect illegal transactions such as circular trading fraud that has proven difficult with conventional technologies.

Description of the special characteristics of the new service

Galileo XAI is a graph-based platform for Explainable Artificial Intelligence with powerful data analytics and visualization tools. Galileo XAI takes the explainability outputs given by Finplex EnsemBiz and shows them in a user-friendly format for quick consumption, thereby satisfying a core requirement for the adoption of AI systems.

Future Plans

LARUS will offer the Galileo XAI platform powered by Fujitsu’s Finplex EnsemBiz to current and future customers. In addition to the financial services vertical, LARUS plans to roll out new Galileo offerings to other industry verticals including government, education, manufacturing, and pharma.

Fujitsu will continue to offer related integration services to increase the detection rate and reduce false positives of fraudulent transactions at Japanese financial institutions using the new Galileo XAI service. Fujitsu will additionally work to enhance the business templates of Finplex EnsemBiz, such as alternative lending and expand application areas to new use cases to realize advanced data analysis in various global fields.

About Fujitsu

Fujitsu is a leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 126,000 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 3.6 trillion yen (US$34 billion) for the fiscal year ended March 31, 2021. For more information, please see www.fujitsu.com.

About LARUS

Headquartered in Venice, Italy, LARUS helps companies around the world designing large-scale data-driven platforms based on the latest innovative technologies. As a world-wide top “Premier Solution Partner” of Neo4j, its “Certified Professionals” have been helping universities, institutions and companies succeed with the world’s leading graph database since a decade. LARUS has a wide experience in different domains from government, insurance, financial institutions to manufacturing, retail and telecom with a strong track record and its R&D department works with many universities on several topics from graph data-visualization to graph algorithms and machine learning in order to validate their application to customers’ use cases. For more information visit http://www.larus-ba.it/ and www.galileox.ai


Source: Fujitsu

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire