FUKUOKA, Japan, Dec. 02, 2025 (GLOBE NEWSWIRE) -- rYojbaba Co., Ltd. (Nasdaq: RYOJ) ("rYojbaba" or the "Company"), a Japanese labor consulting and health services company, announced the launch of an AI-powered Worker Risk Intelligence Platform designed to leverage and unify data across the Company’s Osteopathic Clinic, Free Labor Union, and Legal Services business. The Worker Risk Intelligence Platform is powered by first-party data generated across the operations of rYojbaba’s Osteopathic Clinics, Free Lab ...

Digital Transformation in Healthcare - Healthcare is undergoing digital transformation with paperless hospitals and automated processes like blood analysis [2] - Accumulated data facilitates predictive analytics, forecasting patient needs weeks or months in advance [4] Future Medical Systems Requirements - Future medical systems need to be adaptive, sustainable, and equitable, integrating technology for everyone's benefit [5][6] - Systems should anticipate individual patient demands upon arrival, personalizing treatment and tests [9] - Addressing patient flow peaks, such as during respiratory virus seasons, is crucial [7] The Role of Algorithms - Algorithms are already improving diagnostics through image enhancement in ultrasounds and CT scans [4] - Algorithms alone cannot design future-ready medical systems; empathy is essential [8][20] - Hybrid models using AI chatbots for preliminary assessments can prepare clinicians and augment empathy [18][19] Ethical Considerations - Respect for patient autonomy is necessary, allowing individuals to opt out of data collection and analysis [12] - Balancing efficiency with human experience is critical, as current systems prioritize efficiency [16] - Empathy should be a measurable design metric, tested for its ability to detect and respond to patient feelings [22] Co-creation and the Future - Co-creation with clinicians, patients, researchers, and engineers is vital for capturing diverse perspectives [23] - The goal is to use data to restore the human touch in medicine, enabling algorithms to design future-ready systems [23]

Core Insights - Flux Power Holdings, Inc. has been granted a U.S. Patent for a system that determines the State of Health (SoH) of lithium-ion battery packs, enhancing battery performance monitoring and lifespan extension [1][2][3] Technology Overview - The patented system utilizes advanced algorithms and predictive modeling to continuously assess battery SoH, focusing on depth of discharge, cycle life estimation, and cell balancing to optimize charging patterns [2][3] - The SoH algorithm captures and analyzes battery usage patterns, including discharge depth, temperature, and cell voltage, allowing for real-time adaptations and predictions [3] Benefits of the Technology - Predictive maintenance capabilities provide operators with real-time visibility into battery health, enabling proactive maintenance [8] - Continuous cell balancing minimizes downtime and ensures consistent energy delivery, enhancing fleet uptime [8] - Smarter charging patterns and early diagnostic insights lead to a lower total cost of ownership by reducing replacement frequency and service costs [8] - Continuous monitoring enhances safety by preventing overheating, overcharging, and voltage imbalances [8] Company Strategy - Flux Power emphasizes innovation to meet customer needs, focusing on intelligent energy solutions that improve operational efficiency and extend battery life [6] - The company is committed to investing in research and development to enhance predictive analytics, real-time diagnostics, and adaptive charging algorithms [6][7]

Core Insights - Malaysia's national utility firm Tenaga Nasional Bhd (TNB) has incurred losses exceeding $1.1 billion due to illegal power usage by crypto miners from 2020 to August 2023 [1][2] - A total of 13,827 premises were identified as illegally using electricity for cryptocurrency mining, primarily bitcoin [1][2] Enforcement and Response - TNB is collaborating with various enforcement agencies to combat electricity theft, which involves tampering with electricity meters or bypassing connections, violating the Electricity Supply Act [2][4] - A comprehensive database has been established by TNB to track owners and tenants at premises suspected of electricity theft related to bitcoin mining, aiding in operational inspections [3][4] - Joint operations with the Energy Commission, police, and other agencies have led to the seizure of bitcoin mining machines and the shutdown of numerous illegal setups, ensuring the stability of the power grid [4] Technological Enhancements - TNB is implementing smart meters at electricity distribution substations to monitor energy usage and detect manipulation in real time [4] - The company has proposed the use of artificial intelligence and predictive analytics to enhance detection capabilities by analyzing consumption patterns for suspicious energy usage [5] Trends in Power Theft - Power theft linked to illegal crypto mining has surged by 300% from 2018 to 2024, with detected cases increasing from 610 to 2,397 [6] - The average number of crypto-related electricity thefts is projected to be 2,303 per year from 2020 to 2024, with TNB receiving approximately 1,699 complaints related to crypto thefts between January 2020 and December 2024 [6][7] - Increased public awareness has contributed to the rise in complaints regarding illicit crypto mining activities [7]

Core Viewpoint - Big Bear AI has shown strong growth despite a recent stock pullback of approximately 25% over the last 30 days, with a mixed performance in its AI offerings and the acquisition of a generative AI company [3][4]. Financial Performance - Big Bear AI reported an EPS loss of 3 cents, which was better than the expected loss of 4 cents [4]. - The company generated $33 million in sales, reflecting a 20% decline compared to the previous year [5]. - Revenue guidance for the fiscal year has been widened to a range of $125 million to $140 million, with a midpoint estimate of approximately $137 million, indicating a slight increase of $500,000 from previous estimates [6]. Market Position and Competition - Big Bear AI is positioned as a competitor to Palantir, focusing on predictive analytics and decision analysis primarily for U.S. defense and intelligence markets [4]. - The company is also involved in domestic security applications of AI, such as threat detection in public events [6]. - Traditional consulting firms like Accenture and Deloitte may be both competitors and customers of Big Bear AI, as they face challenges from AI companies while also seeking to integrate AI into their services [8][9]. Industry Trends - The market for AI and predictive analytics is growing, with increasing competition among consulting firms and AI companies [10]. - Despite the growth potential, there are concerns regarding the valuation of companies like Big Bear AI, especially given its significant losses totaling around $400 million over the trailing four quarters [11].

Core Insights - PostFinance, Switzerland's leading digital bank, is enhancing its fraud protection and customer communication by expanding its partnership with FICO, utilizing FICO® Falcon® Fraud Manager and FICO® Customer Communication Services [1][2][3] Company Overview - PostFinance serves approximately 2.4 million customers in Switzerland and processes around 4 million transactions daily, with a total transaction value of CHF 5.9 billion [2] - The bank's debit cards account for an estimated one-third of all debit card transactions in Switzerland, both domestically and internationally [2] Technology and Solutions - FICO Falcon Fraud Manager employs artificial intelligence and is backed by over 100 patents in fraud detection, protecting more than 4 billion payment cards globally [2][4] - The partnership aims to provide instant communication with customers when fraud is suspected, thereby improving customer experience and protection [2][3] Strategic Importance - This expansion supports PostFinance's digital transformation and reinforces its leadership in electronic banking, particularly through its e-finance portal [2][3] - The collaboration reflects PostFinance's commitment to exceeding customer expectations in fraud protection and communication [2][3]

Core Insights - WEBJUMP, a subsidiary of AI/R Company, has announced the strategic integration of Adobe Target with advanced artificial intelligence to enhance customer experiences and improve engagement and brand loyalty [1][5] Group 1: Technology Integration - The integration of Adobe Target with Adobe Sensei's AI and machine learning capabilities allows WEBJUMP to provide real-time, hyper-personalized digital experiences across various platforms including web, mobile, and email [2] - WEBJUMP's AI-powered segmentation enables dynamic layouts and personalized content that adapt based on user behavior, ensuring timely and relevant customer interactions [3] Group 2: Optimization and Insights - WEBJUMP automates A/B and multivariate testing using AI to identify and implement the most effective content and design variations, enhancing overall performance [4] - Predictive AI capabilities allow WEBJUMP to identify audiences based on anticipated future behaviors, facilitating scalable and hyper-targeted messaging strategies that optimize return on investment [4] Group 3: Future of Customer Experience - WEBJUMP aims to lead organizations into a new era of customer engagement by leveraging Adobe's unified AI platform and its own technical expertise, focusing on one-to-one personalization at scale [5] - The company's mission is to drive measurable growth, operational efficiency, and customer satisfaction through innovative AI solutions [5] Group 4: Company Overview - AI/R Company, based in California, is an Agentic AI Software Engineering firm that utilizes proprietary AI platforms to revolutionize global enterprises and set new standards for business innovation [6] - The company is committed to embedding AI into all operations, aiming to empower human talent and enhance digital transformation across industries [6]

Core Insights - nDatalyze Corp. has successfully completed the genetic swab and questionnaire collection for two of the three teams involved in the Epitome predictive analytics project, with the third team's data collection set to begin before October 31 and expected to conclude by the end of November [1] - The President of nDatalyze Corp., Jim Durward, highlighted exceptional player participation and the collaborative effort to leverage technology for improved performance [1] - The ongoing reverse takeover (RTO) process is experiencing delays due to the complexity of product SKUs and the tracking of items from purchase to sale, with the tax opinion for the controlling shareholder now received and finalization of paperwork underway [1] Company Developments - The RTO target audit is currently in progress, with the extended timeframe attributed to the large number of product SKUs [1] - The Corporation's shares will remain halted until the RTO is either completed or abandoned [1] - Anticipated private placement and presentation to the Canadian Securities Exchange (CSE) are in the works as part of the RTO process [1]

Core Insights - Hybrid Power Solutions Inc. is advancing its new unified fleet and remote management platform, entering final testing for an embedded IoT system aimed at enhancing connectivity and operational intelligence across its battery power systems [1][5] - The commercial launch of the new system is expected in Q1 2026, featuring integrated cellular, GPS, Wi-Fi, and Bluetooth Low Energy capabilities, compatible with both new and existing units [2] Group 1: Key Features and Benefits - Real-Time Location Tracking: The system will provide continuous GPS-enabled location data for units [3] - Data Collection and System Optimization: Users will gain insights for optimizing performance and usage patterns through continuous monitoring [3] - Fleet Management and Remote Oversight: Operators can remotely manage and troubleshoot multiple systems via a unified platform [3] Group 2: Security and Support - Theft Deterrence and Recovery: The system allows for remote deactivation and tracking of stolen units, enhancing security for asset owners [4] - Technical Support Integration: Remote diagnostics will enable faster and more proactive customer support from the service team [4] Group 3: Strategic Vision - The IoT and connectivity platform signifies a major advancement in energy management, allowing customers to reduce downtime and enhance operational efficiency [5] - The CEO emphasizes the evolution of customer interaction with power systems, combining energy storage with advanced connectivity and data intelligence [6]

Overview of the AI in Construction Market - The AI in construction market is projected to grow from USD 11.1 billion in 2025 to USD 24.3 billion by 2030, with a compound annual growth rate (CAGR) of 16.9% driven by investments in digital infrastructure, labor shortages, and stricter safety regulations [1][2] - The adoption of AI technologies is increasing among contractors, who utilize predictive analytics, cloud-based platforms, and autonomous equipment to enhance resource management, reduce overruns, and ensure safety compliance [1][2] Key Trends in AI In Construction Market - **Predictive Analytics for Cost and Schedule Optimization**: Predictive analytics tools allow contractors to simulate various scenarios using real-time data, helping to anticipate delays and cost overruns, thus reducing labor costs and project delays [3] - **Construction-Site Safety Enhancement**: AI-powered safety solutions utilize computer vision and sensors to monitor compliance and detect equipment issues, significantly reducing incident rates and insurance claims [4] - **Automation and Robotics Adoption**: Labor shortages are prompting the use of robotics for tasks like bricklaying and rebar tying, which improves accuracy and reduces manual labor hours [5][6] - **Sustainability and Cloud-Based Deployments**: AI solutions assist firms in meeting environmental standards by optimizing energy use and monitoring emissions, while cloud-based platforms facilitate real-time collaboration and data centralization [7] Market Segmentation in AI In Construction Industry - The market is segmented by components (solutions and services), applications (planning, safety, autonomous equipment, etc.), deployment (cloud, on-premises, hybrid), project lifecycle phases, end-users, and project types [10] Key Players in AI In Construction Market - Major companies include Autodesk, Smartvid.io, Doxel, Trimble, and Bentley Systems, each offering various AI-driven solutions for project planning, safety management, and efficiency tracking [9][12] Conclusion - The AI in construction market presents substantial growth opportunities, with a focus on efficiency, safety, and sustainability driving adoption across various regions, particularly in North America and Asia Pacific [11]