Core Insights - Morgan Stanley analysts estimate that fashion brands and retailers could achieve $6 billion in total cost savings by 2026, translating to a 20% increase in earnings before interest and taxes [2][6] - The application of AI in retail is expected to automate various tasks, leading to significant cost reductions and changes in job roles [3][7] Group 1: Cost Savings and Automation Potential - The report indicates that 18% of a retail salesperson's job could be automated, resulting in approximately $7,000 in annual cost savings per salesperson [4] - Other retail jobs also show high potential for automation, including office supervisors (44%), security guards (31%), and customer service representatives (25%) [5] - Lululemon Athletica could see potential savings of $14,300 per employee, totaling $560 million annually, with a projected $270 million in cost savings next year [6] Group 2: Industry Adaptation and AI Integration - Fashion companies are cautiously exploring AI, focusing on enhancing business models rather than merely replacing human workers [7] - Ralph Lauren Corp. has introduced an AI-based styling feature, indicating a proactive approach to integrating technology [8] - Companies like Gap, Macy's, and Victoria's Secret are highlighted for their potential to boost profits through AI adoption [9] Group 3: Areas of AI Implementation - AI is primarily being utilized in inventory management, supply chain automation, demand planning, and customer service [10][11] - The report notes that many AI initiatives are still in early stages, suggesting a transformative potential for consumer shopping experiences [11][12] - The study emphasizes the impact of agentic AI, which automates systematic processes and makes decisions, alongside embodied AI that interacts with physical systems [12]

Group 1 - CXApp Inc. (Nasdaq:CXAI) has been recognized as a Representative Vendor in Gartner's 2025 Market Guide for Workplace Experience (WEX) Applications [1] - The recognition highlights CXAI's impact on how global enterprises manage real estate, IT, HR, and workforce strategies [1] - CXAI utilizes agentic AI to deliver measurable value for the C-suite [1]

Core Insights - Sabre Corporation is launching agentic solutions for travel, leveraging its travel data cloud to enable AI-driven retailing in the travel industry [1][2][7] Group 1: Agentic Solutions and APIs - The new agentic-ready APIs are powered by a proprietary Model Context Protocol (MCP) server, which acts as a universal translator for AI agents in travel technology [2][6] - These APIs will facilitate real-time shopping, booking, servicing, and optimization of travel, moving agentic AI from concept to practical application [2][3] Group 2: Customer Pain Points and Use Cases - The initial focus of these capabilities will be on flights, hotels, and post-booking services, addressing common customer pain points that consume time and patience [3][4] - Potential applications include an IROPS Call-Centre Proxy Agent for rebooking, a Hotel Ops Agent for confirming late arrivals, and an Expense Filing Agent for managing receipts [4] Group 3: Sabre IQ and Data Utilization - Sabre IQ serves as the systemic AI layer, utilizing Large Language Model (LLM) technology to enhance understanding and interaction in natural language [5][6] - The AI layer is supported by Sabre's Travel Data Cloud, which contains over 50 petabytes of travel intelligence, providing a rich foundation for AI capabilities [5] Group 4: Integration and Business Value - The new agentic capabilities are integrated into SabreMosaic, allowing seamless adoption by airlines, agencies, and developers without compromising scale or trust [6] - This integration aims to automate complex workflows, reduce servicing costs, and enhance opportunities for personalized offers, ultimately delivering real business value [6][7]

Core Insights - Guardforce AI Co., Limited is advancing its AI-first transformation strategy, focusing on the development of a multi-agent AI platform and the commercialization of smart solutions in Thailand's retail and banking sectors [2][4]. Financial Performance - For the first half of 2025, revenue increased by approximately $0.6 million, or 3.6%, to approximately $18.2 million compared to the same period in 2024 [5]. - Gross profit decreased to approximately $3.0 million for 1H 2025, down from approximately $3.2 million for 1H 2024, resulting in a gross profit margin decrease to 16.2% from 18.4% [5]. - Selling, general, and administrative expenses decreased to approximately $4.7 million, a 3.2% decrease from approximately $4.9 million in 1H 2024 [6]. - The net loss from continuing operations was $2.2 million for 1H 2025, compared to a net loss of $1.9 million for the same period in 2024 [8]. Business Developments - The company launched DeepVoyage Go (DVGO) on April 1, 2025, an AI-powered itinerary planner for travel professionals, marking the first commercial deployment of its multi-agent AI platform [6]. - Revenue from Guardforce Digital Machine (GDM) grew by $0.3 million, or 18.1%, to $2.2 million in 1H 2025, reflecting increased adoption among banking and retail clients in Thailand [6]. - The company secured multi-year contract renewals with major clients, including Government Savings Bank (Thailand) and other top-tier financial and retail institutions [7]. Operational Highlights - Guardforce AI maintained its market-leading position in Thailand in secured logistics and cash management, supported by strong contract renewals and a resilient operational network [3]. - The company is diversifying its client mix, with retail clients contributing a growing share of overall revenue, currently making up approximately two-thirds of its top 15 clients [7]. Cash Position - As of June 30, 2025, the company had cash, cash equivalents, and restricted cash of approximately $25.0 million, compared to $23.4 million as of December 31, 2024 [8].

Core Insights - Global annual TV shipments are projected to see minimal growth over the next five years, with a modest CAGR of 0.4% from 209 million units in 2025 to 211 million in 2029, while ultra-large TVs (80 inches and above) are expected to rise by 44% during the same period, representing a CAGR of 10% [1][3][4] Market Trends - Shipments of TVs 80 inches and larger are forecast to increase from 9 million units in 2025 to over 13 million by 2029, with China and North America accounting for 54% and 28% of the volume, respectively, in 2029 [4] - The Western European market is also set for growth, with shipments climbing from 503,000 units in 2025 to 643,000 in 2029 [4] Pricing Dynamics - Considerably lower prices for ultra-large TVs are making this premium category more accessible to consumers, driven by manufacturing efficiencies and Chinese brands focusing on market share over profitability in the $1000-plus segment [2][5] Technology Advancements - Mini LED technology is projected to be a core growth area, with annual shipments expected to rise from 12 million in 2025 to 17 million in 2029, reflecting a CAGR of 9% [5] - RGB mini LED technology, introduced by Hisense and Samsung, is anticipated to expand as more brands adopt it from 2026 onward, despite initial higher manufacturing costs [5][6]

Core Insights - Innodata Inc. is positioned as a key player in the generative AI ecosystem, with significant growth in revenue and profitability driven by its "smart data" strategy [2][10] - The company has secured substantial new contracts and raised its organic revenue growth target for 2025, indicating strong demand and a robust pipeline [3][10] - Innodata's focus on "smart data" differentiates it from competitors, as it aims to enhance AI model performance through precise data analysis [4][7] Financial Performance - In Q2 2025, Innodata reported a 79% year-over-year revenue increase to $58.4 million, with adjusted EBITDA rising 375% to $13.2 million and net income reaching $7.2 million [2][10] - The company has a strong cash position of nearly $60 million and no debt, allowing for investments in talent and technology [5] Market Position and Competition - Innodata is competing with U.S.-listed peers like Clarivate and Veritone, both of which are also expanding into AI-driven data solutions [6][7] - Clarivate focuses on enhancing research and data workflows through AI, while Veritone targets media and legal markets with its AI-powered cognitive engines [6][7] - Despite the competition, Innodata's integration with AI developers and emphasis on "smart data" may provide a competitive edge in capturing high-value growth opportunities [7] Valuation and Estimates - Innodata's shares have increased by 46.3% over the past three months, contrasting with a 2% decline in the industry [8] - The company trades at a forward price-to-earnings ratio of 66.97, significantly higher than the industry average of 16.66 [12] - The Zacks Consensus Estimate for Innodata's earnings per share indicates a year-over-year decline of 6.7% for 2025, but a 38% increase for 2026 [13]

(Reuters) -The Trump administration's proposed $100,000 fee for new H-1B visas widely used by tech firms to hire foreign talent could deal a blow to the sector that relies heavily on skilled workers from India and China. The announcement prompted some big tech companies and banks to warn employees to stay in the U.S. or quickly return. India was by far the largest beneficiary of H-1B visas last year, accounting for 71% of approved beneficiaries. Here are some analysts' views on the implications of the ...

Joining me now for a look across the cyber security space and beyond is Steve Kanig, US head of technology research, McQuary US Equity Research. Steve, thank you so much for joining us here at the big board. Good morning, Diane.Thanks for having us. It's good to see you. All right.Um, it feels like we are in such a different place than we were a little more than a year ago with a crowd strike. So, how would you describe just where things stand now and kind of this current state of affairs. Well, we certain ...

Core Insights - The enterprise agentic AI software market is projected to grow from $1.5 billion in 2025 to $41.8 billion by 2030, indicating a significant growth trajectory [1] - Agentic AI is outperforming traditional generative AI, with a projected initial 5-year CAGR (2022-2027) of 90% for generative AI compared to agentic AI's forecast [1] Market Growth - The enterprise agentic AI software market is identified as one of the fastest-growing segments in enterprise technology [1] - The substantial increase from $1.5 billion to $41.8 billion represents a compound annual growth rate (CAGR) that highlights the rapid adoption and investment in this technology [1]

The past week was arguably the most active on the agentic artificial intelligence (AI) front of the year. When you have companies as big as Google, Amazon and Zoom vying for the headlines, it can’t help but be a big week for innovation and adoption.By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions .Complete the form to unlock this article and ...