Core Insights - TTEC Holdings, Inc. will release its earnings results on November 6, 2025, after market close, followed by a live webcast and conference call on November 7, 2025, at 8:30 a.m. ET [1][2] Company Overview - TTEC Holdings, Inc. is a leading global innovator in customer experience (CX) technology and services, specializing in AI-enabled digital CX solutions. The company serves both iconic and disruptive brands, providing outcome-based solutions that enhance the entire customer journey across various virtual interaction channels [3] - TTEC's business segments include TTEC Digital, which focuses on designing and operating omnichannel contact center technology, CRM, AI, and analytics solutions, and TTEC Engage, which delivers AI-enabled customer engagement, acquisition, tech support, back office, and fraud prevention services [3] - Founded in 1982, TTEC has established a strong reputation for customer experience excellence, achieving high satisfaction scores from clients, customers, and employees globally [3]

Core Points - Republic Power Group Limited has successfully closed its initial public offering, raising a total of US$5.0 million from the sale of 2,120,000 Class A ordinary shares at a price of US$4.00 per share [1] - The shares began trading on the Nasdaq Capital Market under the ticker symbol "RPGL" on October 14, 2025 [1] - The net proceeds from the offering will be allocated towards research and development, marketing, recruitment, and potential acquisitions [2] Offering Details - The offering consisted of 1,250,000 shares offered by the company and 870,000 shares by selling shareholders [1] - Bancroft Capital, LLC served as the lead managing underwriter for the offering [3] - A registration statement related to the offering was filed with the SEC and declared effective on September 30, 2025 [4] Company Overview - Republic Power Group Limited specializes in customized enterprise resource planning software solutions, consulting, technical support services, and peripheral hardware [6] - The company serves a diverse clientele, including large corporations and government agencies in Singapore and Malaysia [6]

Group 1 - Baidu Search has upgraded its Wenxin Assistant AIGC creation capabilities, now supporting AI-generated images, videos, music, podcasts, and other modalities, with daily AIGC content generation exceeding 10 million [1] - The launch of the industry's first open real-time interactive digital human agent by Baidu Search features high realism, low latency, and emotional recognition capabilities, enhancing user experience and service quality [1] - Huajin Securities anticipates accelerated AI application deployment due to the continuous upgrades and commercialization of Baidu Wenxin, highlighting the potential for companies that can build competitive barriers based on industry depth and data resources [1][2] Group 2 - Anshuo Information and Xinju Network are among the first ecosystem partners to integrate Wenxin Yiyan into their services, applying AI technology in financial technology and enterprise-level intelligent operations [2]

It doesn't matter your age or experience: taking full advantage of the stock market and investing with confidence are common goals for all investors. Luckily, Zacks Premium offers several different ways to do both.Featuring daily updates of the Zacks Rank and Zacks Industry Rank, full access to the Zacks #1 Rank List, Equity Research reports, and Premium stock screens, the research service can help you become a smarter, more self-assured investor.It also includes access to the Zacks Style Scores. What are t ...

Core Insights - The article discusses the current state of visual spatial reasoning tasks and the importance of Vision Language Models (VLMs) in applications like autonomous driving and embodied intelligence [2][3]. - It highlights the need for a comprehensive evaluation of VLMs' spatial reasoning capabilities through improved methodologies and task settings [3]. Group 1: Current State of Visual Spatial Reasoning - The spatial reasoning capabilities of VLMs have gained significant attention, with research focusing on model structure improvements, training process optimization, and reasoning strategies [2]. - Existing benchmarks often fail to provide a comprehensive assessment of spatial reasoning tasks, necessitating a systematic review of methods and task settings [3]. Group 2: Contributions of the Article - The article categorizes existing improvements in visual spatial reasoning into four areas: input modalities, model structure, training strategies, and reasoning methods [6]. - It introduces a new benchmarking tool, SIBench, which consolidates 18 open-source benchmarks and covers three levels of tasks and various input forms [22][23]. Group 3: Task Classification - Tasks are classified into three levels: Basic Perception, Spatial Understanding, and Planning, each with specific characteristics and requirements [12][15]. - Basic Perception involves attributes of single targets, while Spatial Understanding deals with relationships between multiple targets and their environments [18][20]. - Planning requires understanding spatial constraints and task demands to provide satisfactory solutions [21]. Group 4: Findings from SIBench - The evaluation of mainstream VLMs using SIBench revealed significant deficiencies in four areas, particularly in basic perception capabilities, which are crucial for subsequent reasoning [27]. - Quantitative reasoning abilities were found to be lacking compared to qualitative tasks, indicating a need for improvement in tasks like counting and distance estimation [27]. - The models showed weak performance in processing dynamic information, especially with multi-view or video inputs [27].

Core Viewpoint - The company is actively promoting the application and implementation of facial recognition technology across diverse industries, having successfully delivered facial recognition algorithm solutions in sectors such as healthcare [1] Group 1 - The company is focusing on the application of facial recognition technology in various industries [1] - Successful delivery of facial recognition algorithm solutions has been achieved in the healthcare sector [1]

Summary of Oracle's 2025 Conference Call Industry Overview - The conference focused on the AI industry and Oracle's role within it, highlighting the transformative impact of AI technologies on various sectors, particularly healthcare and enterprise applications [1][4][78]. Key Points and Arguments 1. **AI Era and Model Development** - The emergence of AI technologies began with the release of ChatGPT 3.0, leading to the development of multimodal AI models that utilize multiple neural networks for different types of data processing [1][2][3]. - AI training has become the fastest-growing business in history, surpassing previous industrial revolutions [4]. 2. **Oracle's Involvement in AI** - Oracle is heavily investing in building data centers for AI training, positioning itself as a major player in the AI landscape [6][28]. - The company is developing the world's largest AI cluster for OpenAI in Texas, which will feature over 450,000 NVIDIA GPUs [28][29]. 3. **AI Applications in Healthcare** - AI models are expected to revolutionize healthcare by enabling early diagnosis and more precise surgeries, outperforming human capabilities [5][20][22]. - Oracle is focused on automating the entire healthcare ecosystem, not just hospitals, to improve efficiency and patient care [66][68]. 4. **AI Data Platform** - Oracle's AI Data Platform allows users to integrate private data with AI models while maintaining data privacy, a significant advancement in AI applications [44][46]. - The platform utilizes a technique called RAG (Retrieval-Augmented Generation) to make private data accessible to AI models for reasoning [50][52]. 5. **AI in Customer Relationship Management** - Oracle has implemented AI to analyze customer data and predict purchasing behavior, enhancing sales strategies [54][56]. - The AI can generate tailored communications to prospective buyers based on their profiles and previous interactions [57]. 6. **AI Code Generation** - Oracle's AI models are capable of generating code, significantly improving productivity and reducing the need for manual programming [41][82]. - The Apex code generator is highlighted as a tool that ensures scalability, security, and reliability in applications [82]. 7. **Future of AI and Automation** - The conference emphasized the potential of AI to improve quality of life, healthcare, and operational efficiency across industries [86]. - Oracle aims to automate complex processes between companies, enhancing collaboration and efficiency in various ecosystems [84]. Additional Important Insights - The conference discussed the importance of integrating AI with existing infrastructure and applications to create comprehensive solutions for industries [78][80]. - Oracle's approach to AI emphasizes not just technology development but also practical applications that address real-world problems, particularly in healthcare and enterprise sectors [80][81]. - The potential for AI to enhance data privacy and security through biometric solutions was also mentioned, indicating a shift away from traditional password systems [94][95].

Oct 14, 2025 9:30 AM Eastern Daylight Time New SaaS application transforms static hazard assessments into dynamic, data-driven risk management across industrial enterprises "With the launch of Enablon's new PHA application, we're empowering organizations to move beyond static assessments and embrace dynamic, data-driven risk management. What sets Enablon PHA apart is its integrated risk intelligence, which connects hazard identification with barrier monitoring to deliver real-time risk awareness. This solut ...

Core Insights - Oracle and Google Cloud have announced the general availability of several new database services, enhancing Oracle Database@Google Cloud with embedded AI capabilities and expanded regional availability [1][2][3] Group 1: New Services and Features - Oracle Exadata Database Service on Exascale Infrastructure is now available, offering high performance at a lower entry point with flexible virtualized deployment and pay-as-you-go pricing [3][4] - Oracle Base Database Service is now available, simplifying database administration and accelerating application development with extensive automation and scalable resources [3] - Oracle Autonomous AI Lakehouse is now available, enabling enterprise-wide AI and analytics by integrating with various data platforms, including Google BigQuery and BigLake [3] Group 2: Regional Expansion - Oracle Database@Google Cloud is now available in three additional Google Cloud regions: Australia-Southeast 2 (Melbourne), North America-Northeast 1 (Montreal), and US Central 1 (Iowa) [3][4] - Existing regions have expanded capacity for disaster recovery, with plans for nine more regions in the next 12 months to meet growing demand [3][4] Group 3: Partner Program - A new partner program allows Google Cloud and Oracle partners to purchase and resell Oracle Database@Google Cloud through the Google Cloud Marketplace, enhancing multicloud and IT modernization initiatives [5][6] Group 4: Industry Demand and Innovation - There is a growing global demand for Oracle Database@Google Cloud across various industries, with organizations seeking agility, innovation, and speed in their multicloud deployments [2][6] - Strategic partnerships are being leveraged to combine Oracle's enterprise database capabilities with Google Cloud's AI and analytics technologies, enabling businesses to unlock the potential of their data [6]

Core Viewpoint - The article discusses the upcoming IPO of Jushuitan, China's largest e-commerce SaaS ERP provider, highlighting its market position, financial performance, and the details of its stock offering [3][5][14]. Company Overview - Jushuitan was established in 2014 and specializes in providing one-stop e-commerce SaaS products and services for businesses [3]. - The company covers over 400 e-commerce platforms globally, including major ones like Taobao and JD.com [5]. Market Position - Jushuitan holds a leading market share of 24.4% in the e-commerce SaaS ERP sector, with a market size of 3.1 billion RMB [5]. - It ranks first in the e-commerce operation SaaS market with a market share of 8.7% based on projected total revenue for 2024 [5]. Financial Performance - Jushuitan is expected to turn profitable in 2024, with projected revenues of 9.1 billion RMB and a net profit of 110 million RMB [7]. - The company's revenue from 2022 to 2024 is projected to grow from 523 million RMB to 910 million RMB, while net losses are expected to decrease significantly from 5.07 billion RMB in 2022 to a profit in 2024 [7][10]. IPO Details - The IPO is scheduled for October 13-16, with a global offering of 68.1662 million shares, of which 10% is for public offering [14]. - The proposed share price is 30.6 HKD, with an estimated entry fee of approximately 3,091 HKD for one lot of 100 shares [14]. - Cornerstone investors have subscribed for 48.5% of the offering, and the underwriting is managed by CICC and Morgan Stanley [14].