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TDRU Grand Release: Unveiling the Uncertainty Data Revolution

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In the digital age, the impact of data is becoming increasingly profound. By the end of 2022, a myriad of big data artificial intelligence models had emerged with varying degrees of quality. The effectiveness of these models highly depends on the quality of the input data, thereby imposing higher standards for data quality. However, people’s understanding of the essence of data is still at a relatively primitive stage. This has led to three major issues in existing data processing techniques: The first issue is the ignorance of the inherent uncertainty present in data; the second is a lack of effective methods for predictions; and the third is overlooking the bias introduced by the human-data relationship.

To address these issues, on October 9, 2023, Mongoose Think Tank officially launched TDRU (Tools of Data Reconstruction on Uncertainty) – a tool based on the principle of uncertainty that aims to solve the aforementioned problems through data reconstruction.

Theoretical Background of TDRU
Over time, Mongoose Think Tank has researched the sources of uncertainty extensively. In the field of data science, in his 2023 article “Uncertainty and Data Reconstruction” published in the Chinese Banking Industry magazine, Mongoose Think Tank’s Academic Committee Chairman Zhu Xiaohuang deeply discussed the issue of uncertainty in data. Zhu believes the essence of the world is uncertainty, causing randomness in human society and behavior. As data reflects the objective world and human behavior, it also carries uncertainty.

In his article “A Human-Centric Perspective on Data”, Mongoose Think Tank’s expert Hu Benli argues that all data subjectively reflects humans’ perspective on the objective world. He describes an ongoing cycle where humans generate large amounts of data while simultaneously being influenced by it. This inherent bias in data, Hu states, provides the fundamental rationale for needing data governance.

To address these issues of uncertainty and human-data relationships, Mongoose Think Tank have designed and proposed a method for reconstructing data based on these principles. Our approach categorizes data into types including historical data and marginal data, natural data and behavioral data, as well as deterministic data and random data. Building upon the elimination of random data, it assigns different adjustment parameters and weights to different types of data. Subsequently, Mongoose Think Tank applied and refined this methodology in real-world scenarios, culminating in the development of TDRU (Tools for Data Reconstruction on Uncertainty) version 1.0.

Introduction to TDRU
TDRU operates through six core processes, two sets of parameters, and seven collaborative tools. It can address both types of problems arising from uncertainty and adjust biases between humans and data. TDRU is not just a methodology but also practical as a tool. Its uniqueness lies in being the first tool specifically designed to tackle issues of data uncertainty, marking a significant advance over existing data processing methods. TDRU can be widely applied to various scenarios for predicting and measuring the likelihood of future events, making it suitable for major financial institutions, commercial enterprises, and global economic forecasts by world organizations. Additionally, Mongoose Think Tank are in the process of developing a data reconstruction intelligent assistant software that integrates TDRU with large language models.

TDRU is a foundational data tool based on the principle of uncertainty, primarily aimed at the pre-analytical stage of data analysis, namely data cleansing. Due to its foundational nature, the range of its applications is extensive, covering sectors such as economics, finance, and energy, among many others that require heavy use of data for modeling, analysis, and future prediction. Consequently, its client base is diverse, encompassing enterprises, financial institutions, and international organizations across the globe that need to employ data for forecasting. Additionally, due to the high correlation between uncertainty and risk management, TDRU offers unique value in the field of risk management. Overall, TDRU is not only a multi-functional and cross-sectoral methodology with international applicability but also a potent tool capable of solving a myriad of data quality issues, thereby enhancing the accuracy of future predictions.

TDRU Application Cases
Mongoose Think Tank applied TDRU to a personal credit scorecard of a listed bank. From the perspective of model evaluation parameters, before using TDRU, the model’s AUC (Area Under Curve, which measures the authenticity of the detection method; the closer AUC is to 1.0, the higher the authenticity; at 0.5, it has the lowest authenticity and no application value) was approximately 0.84, and KS (Kolmogorov-Smirnov, which evaluates the model’s risk differentiation ability; the greater the cumulative difference between good and bad samples, the greater the KS value and the stronger the risk differentiation ability of the model) was about 0.57. After using TDRU, the AUC increased to 0.88, and KS increased to 0.59. Importantly, these effects have been corroborated across multiple product lines.

Future
Currently, TDRU Version 1.0 has matured into a valuable tool for applications in macroeconomic forecasting, risk profiling and more. It has already obtained a software copyright and submitted an application for a patent.

Today, Mongoose Think Tank sincerely present this practical tool to the community at large, hoping to collaborate with various parties to expand the boundaries and possibilities of TDRU. Currently, Mongoose Think Tank can provide corresponding services related to TDRU, including consultation, training, and data processing. Mongoose Think Tank welcome inquiries from data enterprises, financial institutions, consulting firms, or any interested organizations. Please stay tuned for the future launch of TDRU Intelligent Assistant.

Artificial Intelligence

US Air Force Awards ThroughPut.ai Direct-to-Phase-II Contract for Boeing, Lockheed Martin, and Sikorsky Mission Design Series to Accelerate Aircraft Readiness

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Leveraging Data to Drive Maintenance-first actions that improve overall supply chain throughput across the DAF.
NEW YORK, May 28, 2024 /PRNewswire/ — ThroughPut.ai, the Supply Chain Decision Intelligence Pioneer, announces it has been selected by AFWERX for a (SBIR Direct-to-Phase II contract) in the amount of $1,248,627.00 focused on “AI-Powered Proactive Supply Chain Capabilities” to address the most pressing challenges in the Department of the Air Force (DAF). The Air Force Research Laboratory and AFWERX have partnered to streamline the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) process by accelerating the small business experience through faster proposal to award timelines, changing the pool of potential applicants by expanding opportunities to small business and eliminating bureaucratic overhead by continually implementing process improvement changes in contract execution. The DAF began offering the Open Topic SBIR/STTR program in 2018 which expanded the range of innovations the DAF funded and now on April 17th, 2024, ThroughPut.ai will start its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.

“ThroughPut.ai looks forward to supporting efforts to accelerate inventory flow across the United States Air Force,” said Ali Raza, CEO & Founder of ThroughPut.ai. “By driving inventory/materiel management changes at the maintenance endpoint first, supply chain improvements can then be amplified across the greater industrial base to create aircraft capacity.”
“The views expressed are those of the author and do not necessarily reflect the official policy or position of the Department of the Air Force, the Department of Defense, or the U.S. government.”
About (ThroughPut.ai)
ThroughPut.ai is a Silicon Valley-based supply chain optimization & predictive replenishment company. The company’s software AI platform has the ability to identify location-, product-, and customer-based demand changes sooner in order to adjust order frequencies, vendor sources, and parts buffer levels at a global and local scale. ThroughPut’s platform was designed by Fortune 500 & technology executives with real-world experience managing demand & supply chain disruptions and war-zone logistics across the Middle East.
About AFRLThe Air Force Research Laboratory is the primary scientific research and development center for the Department of the Air Force. AFRL plays an integral role in leading the discovery, development, and integration of affordable warfighting technologies for our air, space and cyberspace force. With a workforce of more than 12,500 across nine technology areas and 40 other operations across the globe, AFRL provides a diverse portfolio of science and technology ranging from fundamental to advanced research and technology development. For more information, visit afresearchlab.com.
About AFWERXAs the innovation arm of the DAF and a directorate within the Air Force Research Laboratory, AFWERX brings cutting-edge American ingenuity from small businesses and start-ups to address the most pressing challenges of the DAF. AFWERX employs approximately 370 military, civilian and contractor personnel at five hubs and sites executing an annual $1.4 billion budget. Since 2019, AFWERX has executed over 6,100 new contracts worth more than $4 billion to strengthen the U.S. defense industrial base and drive faster technology transition to operational capability. For more information, visit: www.afwerx.com. 
Company Press Contact:Ali RazaCEO/[email protected] 

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Data Center Investments Soar: 200% Rise Since 2016 and Projected 89% Increase by 2028

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USA News Group CommentaryIssued on behalf of Avant Technologies Inc.
VANCOUVER, BC, May 28, 2024 /PRNewswire/ — Since 2016, investment in data centre infrastructure has risen 200%, with a further 89% increase expected by 2028 as more opportunities emerge with the rise of artificial intelligence (AI). According to Jones Lang LaSalle Inc.’s CEO Christian Ulbrich, data centers are “the hottest asset class at the moment.” Analysts at Technavio are projecting the global data center market to record an additional US$329.82 billion in growth at a CAGR of 12.73% through 2027. Capitalizing on the opportunity are several players recently announcing developments regarding their involvement in the data centers sector, including

Avant Technologies Inc. (OTCQB: AVAI), Amazon.com, Inc. (NASDAQ: AMZN), Applied Digital Corporation (NASDAQ: APLD), Digital Realty Trust, Inc. (NYSE: DLR), and Equinix, Inc. (NASDAQ: EQIX).
As an early pioneer in generative AI, Avant Technologies Inc. (OTCQB: AVAI) continues to enhance its flagship asset, Avant AITM, a sophisticated machine and deep learning AI system designed for versatility and customization across various industries and applications. Recently, Avant announced plans to equip its AI-managed data center, currently in development, with High-Performance Computing (HPC) systems. According to IBM, HPC technology utilizes clusters of powerful processors working in parallel to process massive multi-dimensional data sets and solve complex problems at exceptionally high speeds.
“The rise of AI is revolutionizing industries, and Avant Technologies is committed to being at the forefront of this transformation,” said William Hisey, CEO of Avant. “By building an AI-managed data center with HPC systems, we will gain the computational power and infrastructure required to train and deploy sophisticated AI models, which will ultimately provide even greater value to our customers.”
The new data center will leverage AI-driven management technology to optimize resource allocation and enhance efficiency in all aspects of data center operations. Avant will meticulously design its HPC infrastructure to meet the demands of AI workloads, selecting high-performance CPUs and GPUs (or TPUs) specifically suited for deep learning tasks. This cutting-edge facility will enable Avant to accelerate AI advancements, delivering innovative solutions to clients by improving data center efficiency and empowering them with exceptional AI capabilities.
Additionally, Avant will implement a high-speed network to ensure efficient data transfer and select a scalable storage solution to manage the large datasets necessary for training and utilizing AI models. The HPC systems will prioritize security, incorporating robust measures to protect sensitive data and create a secure environment for AI deployment. Furthermore, the data center will integrate energy-efficient technologies and sustainable design practices, reflecting Avant’s commitment to environmental responsibility.
Avant Technologies also recently announced plans to implement AI-empowered Zero Trust Architecture (ZTA) across its data center operations. Additionally, the company has expanded its AvantAI™ platform to include intelligent, proactive monitoring and management for data centers.
Over the past few weeks Amazon.com, Inc. (NASDAQ: AMZN) has collectively committed to investing $20 billion into new data centers for its subsidiary Amazon Web Services (AWS). The first to be announced was an $11-billion data center to be built in Indiana, with another $9 billion set to accelerate cloud-infrastructure in Singapore. The moves fall in line with Amazon CEO Andy Jassy’s projection that 85% of IT spending will remain on premises, in the race for Gen AI supremacy.
Amazon also recently announced an extension on its partnership between AWS and CrowdStrike to unify cybersecurity protection on its CrowdStrike Falcon platform. As per the agreement, Amazon is replacing a variety of cloud point products with Falcon Cloud Security, is using Falcon Next-Gen SIEM to secure big data logging and is deploying Identity Threat Detection and Response to prevent identity-based attacks.
“CrowdStrike and AWS have a deep history of working together to secure the most innovative companies in the world,” said CJ Moses, Chief Information Security Officer and Vice President of Security Engineering at Amazon. “Amazon uses CrowdStrike to provide visibility, detection, and response across our businesses in order to protect the cloud, infrastructure, and services for our customers. This is part of our shared mission to help all organizations build, operate, and secure their business.”
In a move to shore-up its market position as a designer, builder, and operator of next-generation digital infrastructure designed for High-Performance Computing (“HPC”) applications, Applied Digital Corporation (NASDAQ: APLD) recently announced the appointment of industry veteran Todd Gale as its new Chief Development Officer. The announcement came just one month after the company announced it had issued a $50 million unsecured convertible debenture to advance its HPC Data Center Project in Ellendale, North Dakota.
“We intend to use the net proceeds from the private financing, supplemented by the proceeds from our announced sale of the Garden City facility, to finance substantial advancements in our construction phase of the HPC data center in Ellendale, North Dakota,” said David Rench, CFO of Applied Digital. “Concurrently, we continue negotiating our project-level financing to ensure timely project completion and fulfillment of our contractual obligations.”
Applied Digital intends to utilize chipmaking giant NVIDIA’s new Blackwell platform into its cloud offerings. The company’s next-generation data center campuses are specifically designed to host HPC/AI applications, offering more cost-effective and efficient alternatives to traditional data centers.
In Japan, Digital Realty Trust, Inc. (NYSE: DLR) recently announced the expansion of its NRT Campus, by commencing construction of its third data center to support AI. Upon completion of the site in late 2025, the campus’s capacity will rise to 104MW, with the intention of meeting rising demand for next-generation infrastructure, and seamless access to Japan’s connected data communities.
“Japan’s rapidly increasing demand for AI deployments creates the need for scalable, flexible, and highly connected AI-ready data centers in the Tokyo metropolitan area,” said Serene Nah, Managing Director and Head of Asia Pacific, Digital Realty. “We believe NRT14’s next-generation data center infrastructure and Digital Realty’s connected global open data center platform provide the foundational pillars our customers need to drive innovation in the coming years.”
Equinix, Inc. (NASDAQ: EQIX), another digital infrastructure company, has recently launched a $600 million joint venture with PGIM Real Estate to develop and operate the first xScale data center in the US, situated in California’s Silicon Valley. This follows their successful collaboration on the first xScale data center in Australia in 2022, which was part of a similar $575 million joint venture announced in 2021.
Under the terms of the new agreement, PGIM Real Estate will hold an 80% equity interest in the joint venture, while Equinix will retain a 20% equity stake. xScale data centers by Equinix enable hyperscale companies to expand their core deployments within Equinix’s IBX data centers, facilitating growth in over 70 global metros through a platform that supports direct interconnections with more than 10,000 customers.
This joint venture complements Equinix’s existing hyperscale collaborations in Europe, Asia-Pacific, and the Americas, significantly enhancing the global xScale data center portfolio. Once completed, this global expansion is set to exceed $8 billion, encompassing more than 35 facilities and providing over 725 megawatts of power capacity.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/ 
CONTACT:USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Avant Technologies Inc. advertising and digital media from the company directly. There may be 3rd parties who may have shares Avant Technologies Inc., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Avant Technologies Inc. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Avant Technologies Inc. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

View original content:https://www.prnewswire.co.uk/news-releases/data-center-investments-soar-200-rise-since-2016-and-projected-89-increase-by-2028-302156928.html

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Lucinity Wins the Microsoft Partner Awards for 2024 for Partner of the Year – Iceland and Sustainability and Social Impact

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REYKJAVÍK, Iceland, May 28, 2024 /PRNewswire/ — Lucinity, a leading AI company for financial crime prevention, won two awards at the Microsoft Partner Awards for 2024, including Partner of the Year – Iceland and Sustainability and Social Impact, highlighting Lucinity’s innovations and contribution to positive societal change. 

“Congratulations to Lucinity for being recognized as the Partner of the Year – Iceland 2024! Lucinity is leading digital transformation and delivering innovative products in their domain,” says Microsoft’s leadership.
“For the past year, they have played a key role with their offerings, skilled resources, and their ability to drive change and innovative solutions both locally in Iceland and across the globe. Lucinity has had significant social impact and growth while supporting our joint customers in their AI-transformation journeys.”
In June 2023, Lucinity launched the world’s first copilot for FinCrime prevention powered by Microsoft Azure OpenAI called Luci. Luci stands out in the financial services industry with specialized skills for FinCrime prevention such as adverse media checks, case analysis, and SAR writing. 
Built on the robust and scalable Microsoft Azure platform, Lucinity offers customers a trusted SaaS product. Additionally, Lucinity’s presence on the Microsoft Azure Marketplace allows companies to leverage their Microsoft Azure credits to access the platform. 
The seamless integration with Microsoft’s Azure stack has enabled Lucinity to implement advanced AI capabilities, fostering rapid innovation and enabling banks and fintech companies to utilize AI securely and audibly. Furthermore, Luci significantly reduces investigation times from 2.5 hours to just 25 minutes, saving Tier 1 banks an estimated $25 million annually.
Guðmundur Kristjánsson (GK), Lucinity’s Founder and CEO comments, “These awards are a testament to the strength and reliability of our solutions, made possible by our strategic partnership with Microsoft. Utilizing Microsoft Azure, we have been able to drive rapid innovation and create a robust, scalable platform that meets the rigorous requirements of compliance teams.” 
On the Sustainability and Social Impact Partner Award, Microsoft says, “Lucinity, with their innovative AI solutions, has really tried to combat this huge global challenge. They use ‘Human AI’ to enhance financial crime prevention, combining AI with human expertise for efficient, user-friendly solutions. Additionally, Lucinity has developed a tool called Luci, an AI-powered copilot that helps transform financial crime prevention from a process that took hours to one that takes minutes.”
Logo: https://mma.prnewswire.com/media/2208676/4669079/Lucinity_Logo.jpg
 

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