Core Insights - BIGG Digital Assets Inc. provides a corporate update highlighting regulatory, operational, and strategic milestones across its organization [1] Regulatory Update - The Company has received a notice of reassessment from the Canada Revenue Agency (CRA) that reduces the GST/HST assessed on Netcoins' 2018 cryptocurrency transactions by $3,864,681, which is a 64% reduction from the original amount of $6,071,388 [4] - The revised GST/HST principal now stands at $2,206,707, and the total amount owing, including interest and penalties, is now $3,228,842, down from $8,871,854, marking a decrease of $5,643,012 [5] - This reassessment significantly reduces a contingent liability and improves the Company's financial position as it advances its 2026 Canadian Investment Regulatory Organization (CIRO) membership application [5] Operational Milestones - Netcoins has surpassed $1.0 billion in cumulative transaction volume in 2025, exceeding the full-year 2024 volume of $785 million, indicating continued user growth and increased engagement [15] - Netcoins has joined the BitGo Go Network, which enables free, instant settlement of USD and digital currencies, enhancing its institutional settlement capabilities [12] - The Company has launched a dedicated in-app crypto lending page, providing users access to APX Lending's BTC and ETH loan platform, with full platform integration expected in the first half of 2026 [14] Strategic Developments - Blockchain Intelligence Group continues to provide blockchain analytics and forensic investigation solutions to government agencies and enterprises, focusing on compliance and transparency in the digital asset ecosystem [17] - TerraZero Technologies has enhanced its Intraverse technology stack, reduced operating expenses, and is prioritizing high-impact partnerships to drive commercial contracts and real-world deployments [18][20] - The Company is advancing a licensing strategy for its technology stack to unlock additional monetization pathways, positioning itself for broader revenue streams heading into 2026 [20]

Core Insights - The adoption of agentic AI by banks poses new risks for retail customers, prompting the UK's financial watchdog to ensure customer interests are prioritized [1][3][4] - Agentic AI is seen as a significant opportunity for companies, capable of planning, decision-making, and adapting based on goals, unlike generative AI [2] - The Financial Conduct Authority (FCA) anticipates that consumer-facing applications of agentic AI will begin to emerge in early 2024, highlighting the associated risks due to the speed and autonomy of AI actions [3] Industry Developments - Major UK banks such as NatWest, Lloyds, and Starling are collaborating with the FCA to prepare for trials of agentic AI for retail customers, marking a shift from traditional back-office applications [2][6] - Research firm Gartner predicts that by the end of 2026, 40% of financial services firms will implement AI agents, although over 40% of agentic AI projects may be discontinued by the end of 2027 due to rising costs and unclear business value [5] - British banks are leading in the trial of AI agents for customer-facing tasks, supported by the FCA's AI sandbox and live testing initiatives, while the EU's AI Act creates uncertainty regarding the treatment of agentic AI in finance [6] Regulatory Framework - The FCA plans to enforce rules such as the senior managers regime and consumer duty to hold executives accountable for any misconduct and to ensure that customer interests are prioritized [4]

For the first time, powerful techniques born in AI—like transformer models, neural networks, tokenization, data regeneration, and agentic AI—are being applied to rewrite the rules of wireless. 6G will be built with these AI techniques woven in from the start. This special address showcases the first milestones achieved on NVIDIA platforms that are setting the stage for 6G today and spotlights ecosystem announcements. The session will feature demonstrations showing how AI is transforming every layer of next- ...

Core Insights - The outlook for AI in 2026 is expected to focus on personalization, monetization, and integration into daily life, moving beyond basic functionalities like chatbots [2][4][10] Industry Trends - AI is anticipated to evolve into more personalized systems, often referred to as "Gent AI," which will learn from user interactions and develop unique personalities [2][3] - The integration of AI into various applications, such as browsers and shopping platforms, will be a key area of experimentation for companies [5][10] Competitive Landscape - Current rankings of AI programs show Google leading, followed closely by XAI, with Anthropic in third place, indicating a competitive environment among major players [6][7] - Companies like Google and XAI have ecosystems that may support their AI initiatives, while OpenAI will need to compete for business in search and advertising [8] Consumer Engagement - There is a bifurcation in AI users, with some embracing the technology and others remaining indifferent, highlighting the challenge of increasing consumer engagement [4][9] - The future of AI will involve seamless integration into everyday products, making it less visible but more impactful in improving daily life [12][13] Productivity Impact - AI's most significant impact is expected to be in enhancing productivity across various sectors, including design, accounting, and finance, rather than in retail applications [15]

Core Insights - ServiceNow has successfully closed the acquisition of Move Works, a company specializing in AI-driven employee experience solutions, which enhances its organic growth strategy [1][2][3] - The company has consistently achieved over 20% organic revenue growth annually for the past decade, positioning itself as a leader in the enterprise software sector [2] - ServiceNow differentiates itself from competitors by emphasizing its platform capabilities rather than relying on acquisitions for growth, stating it is not a traditional SaaS company [5] Acquisition Strategy - The role of mergers and acquisitions (M&A) in ServiceNow's growth strategy is minimal, as the company is already experiencing significant organic growth [4][5] - The acquisition of Move Works is seen as a strategic enhancement rather than a necessity for growth [2][4] AI and Control Tower - ServiceNow's AI Control Tower integrates various data sources and models, allowing for seamless interaction across different software environments, which is crucial for managing both human and non-human agents [10][11] - The Control Tower provides a unified view of workflows and security, which is unique to ServiceNow and adds significant value to its offerings [8][12] Market Position - The company currently manages 75 billion workflows, showcasing its extensive operational scale and capability [8] - ServiceNow's confidence in its market position is reflected in its decision to execute a five-for-one stock split, indicating strong performance expectations [7]

Core Insights - Information Services Group (ISG) has initiated a research study focused on providers that assist healthcare enterprises in transitioning from early AI experimentation to real-world implementation [1] - The study will culminate in a comprehensive ISG Provider Lens report titled "AI Services in Healthcare," set for release in April 2026, which will evaluate companies offering AI strategy, advisory, development, and delivery services to healthcare organizations [2][6] Industry Challenges - Healthcare enterprises are encountering significant challenges, including data fragmentation and privacy and regulatory constraints, which necessitate strong guardrails, oversight, and safety management as they adopt agentic AI [2][5] - The increasing adoption of AI, particularly generative AI (GenAI) and agentic AI models, is aimed at alleviating the burden of clinical work, addressing operational pressures, and enhancing patient experience [4] Research Methodology - ISG has distributed surveys to approximately 100 providers and will produce two quadrants representing AI-related services that healthcare enterprises typically procure, based on ISG's client interactions [5] - The report will analyze the global market for AI services in healthcare and will include a list of identified providers and vendors [6] Service Evaluation - The report will evaluate two main categories of services: - Healthcare AI Strategy and Advisory Services, which guide organizations in planning and governing AI adoption and selecting healthcare-specific large language models [7] - Healthcare AI Development and Delivery Services, which assess providers that design, build, deploy, and operationalize AI solutions for healthcare firms [7] Market Coverage - The ISG Provider Lens research series combines empirical, data-driven research with real-world insights from ISG's advisory team, covering providers globally, including regions such as Europe, the U.S., Canada, and Australia, with plans for future market expansions [8]

Core Insights - The future of enterprises is believed to be characterized by "Agentic" capabilities, where multiple intelligent agents can significantly amplify an organization's creative potential [1][23] - The launch of the Wunwen Qinkong Intelligent Agent Service Platform aims to provide comprehensive support for enterprises in customizing, deploying, and monetizing intelligent agents, thereby accelerating the evolution from creativity to productivity [3][26] Group 1: Intelligent Agent Service Platform - The platform offers ready-to-use agent capability templates and reliable hosting services, linking deeply with Wunwen Qinkong's foundational computing and model infrastructure [7][30] - It aims to enhance the effectiveness of intelligent agent production, ensure stable large-scale operations, control business costs, and facilitate smoother commercialization [7][30] Group 2: Challenges in Implementation - The high barriers to achieving production-level intelligent agents and scaling them pose significant challenges for enterprises [5][30] - Key issues include the difficulty in achieving production-level effects, ensuring stable and reliable operations, controlling construction and operational costs, and closing the commercialization loop [8][31] Group 3: Technological Capabilities - The platform integrates over 20 mainstream and cutting-edge large models, optimizing inference efficiency by 2 to 3 times compared to traditional service models [14][37] - It supports dynamic adaptation of the best model solutions for clients' target business outcomes, leveraging a wealth of industry knowledge and experience [10][33] Group 4: Efficiency Improvement Chains - The intelligent agent application process involves interconnected efficiency improvement chains: tool chain, upgrade chain, and promotion chain [16][39] - The platform helps reduce over 70% of redundant labor in agent tool integration and supports independent business module management for intelligent agent versioning [16][39] Group 5: Real-World Applications - A case study showcased the development of the "SysCoding Agent," which enables employees and external partners to create and manage business systems through natural language interactions [18][41] - The intelligent agent achieved over 95% completeness and compliance in its initial generation, with a bug occurrence rate below 3%, demonstrating its effectiveness [20][43] - The agent has been successfully deployed within a company, allowing for the development and launch of production-level systems at a minimal cost of 5 yuan per system [21][44] Group 6: Future Vision - The company aims to support the ongoing evolution of intelligent agent applications through strong foundational infrastructure and collaborative efforts across industries [24][46] - The vision includes creating a closed loop of innovation that integrates industry and academia, positioning intelligent agents as powerful accelerators of creativity across various sectors [24][46]

Core Insights - The article discusses the emergence of Agentic AI, which represents a shift from passive tools to AI systems capable of autonomous decision-making and interaction with their environment [1][2][16] - The development of intelligent agents poses significant challenges for developers, requiring a deeper understanding of system engineering beyond just API usage [4][6] Development Challenges - Key challenges in developing intelligent agents include multi-agent collaboration, engineering implementation, domain specialization, and performance evaluation [5] - Developers often get stuck at the API level, missing the opportunity to transition from tool users to creators of intelligent systems [6] Training Program Overview - A training program titled "Agentic AI Development Camp" is introduced, aimed at equipping participants with the skills to build intelligent agents over five weeks [6][17] - The program covers practical aspects from installation to deployment, ensuring hands-on experience with real-world applications [6][10] Weekly Curriculum Breakdown - Week 1 focuses on enabling agents to perceive reality through external tool integration [10] - Week 2 emphasizes building complex collaboration capabilities among multiple agents [10] - Week 3 covers engineering delivery, including architecture design and full-stack development [10] - Week 4 is dedicated to establishing evaluation and monitoring systems for agents in production environments [13] - Week 5 focuses on creating domain-specific expertise through model fine-tuning [13] Practical Applications - The program includes six enterprise-level projects that allow participants to apply their knowledge and deliver commercially viable code and deployment solutions [11] - Participants will engage in various tasks, including building a travel planning agent and a deep research assistant, utilizing cutting-edge technologies [12][14] Future Implications - Agentic AI is positioned as a core engine for digital transformation over the next 5-10 years, emphasizing the importance of mastering this technology for future business development [16]

Core Insights - The industry is entering the true era of Agentic AI, transitioning from answering questions to autonomous execution and creation, which is reshaping the underlying logic of the entire AI technology stack [1] - The complexity of agent architecture is increasing exponentially, requiring higher demands on the underlying framework for each component, including task planning, tool invocation, and long-term memory [1] Company Insights - PPIO's co-founder and CEO, Yao Xin, emphasizes that operating systems are the core middleware in any technological era, indicating a shift in AI applications from mere question-answering tools to task-completing assistants [1] - The need for a new infrastructure, termed the "Agent era operating system," is highlighted as essential for supporting the capabilities of future AI applications [1] Industry Trends - At the recent Quantum Bit MEET 2026 Smart Future Conference, Yao Xin shared insights on the evolution of agents and Agent Infra, predicting that agents will become the mainstay of future AI applications [1] - The future trend points towards achieving a high degree of integration between model capabilities, tool capabilities, and execution capabilities through a new Runtime system in the AI era [1]

Vancouver, BC, Dec. 15, 2025 (GLOBE NEWSWIRE) -- Fobi AI Inc. (TSXV:FOBI, Pink:FOBIF) (“Fobi” or the “Company”) is pleased to announce the launch of FIXYR, the Company’s new Agentic AI Customer Service & Technical Support Platform. FIXYR is built on Fobi’s proprietary enterprise large language model infrastructure, using commercially licensed AI models deployed on secure, Canadian-hosted servers. Unlike AI solutions that build on top of third-party platforms like ChatGPT, FIXYR is designed for enterprise an ...