Latest news with #multimodal
Yahoo
3 days ago
- Business
- Yahoo
TCI Express Ltd (NSE:TCIEXP) Q4 2025 Earnings Call Highlights: Strategic Expansions and ...
Release Date: May 30, 2025 For the complete transcript of the earnings call, please refer to the full earnings call transcript. TCI Express Ltd (NSE:TCIEXP) has maintained a strong focus on expanding its multimodal and service portfolios, which is expected to enhance operational efficiency. The company has invested in an asset-light model, allowing for greater flexibility and cost management. There is a strategic emphasis on automation and network management, which is anticipated to improve service levels and operational efficiency. TCI Express Ltd (NSE:TCIEXP) has shown resilience in maintaining profitability despite challenging market conditions. The company is actively investing in logistics centers and daily transport services, which could lead to improved service delivery and customer satisfaction. The company faces challenges with rising operational costs, particularly in labor and transportation. There is significant pressure from inflation, which could impact profit margins if not managed effectively. TCI Express Ltd (NSE:TCIEXP) is experiencing competitive pressures in the e-commerce segment, which may require strategic adjustments. The company has noted difficulties in maintaining consistent growth in certain market segments due to external economic factors. There is a need for continuous investment in technology and infrastructure to keep up with industry standards, which could strain financial resources. Warning! GuruFocus has detected 1 Warning Sign with NSE:TCIEXP. Q: Can you provide insights into the company's strategy for automation and its impact on operations? A: The company is focusing on automation to enhance operational efficiency. The implementation of automated systems is expected to reduce labor costs and improve service levels. This strategic move is aimed at addressing challenges in the labor market and optimizing resource utilization. (Respondent: Unidentified_2) Q: How is TCI Express planning to expand its network and what are the expected benefits? A: TCI Express is expanding its network by investing in new centers and enhancing existing facilities. This expansion is expected to improve service coverage and operational efficiency, ultimately leading to increased market share and customer satisfaction. (Respondent: Unidentified_2) Q: What is the company's approach towards the e-commerce segment, and are there any strategic changes planned? A: The company is focusing on strengthening its presence in the e-commerce segment by enhancing its quick commerce fulfillment capabilities. This involves strategic investments in infrastructure to support the growing demand in this sector. (Respondent: Unidentified_2) Q: How is TCI Express addressing the challenges posed by rising costs, particularly in logistics? A: TCI Express is implementing cost-control measures and optimizing its logistics operations to mitigate the impact of rising costs. The company is also exploring strategic partnerships to enhance its service offerings and maintain competitive pricing. (Respondent: Unidentified_2) Q: What are the company's future projections regarding market trends and growth opportunities? A: TCI Express is optimistic about future growth opportunities, particularly in the logistics and e-commerce sectors. The company is focusing on leveraging market trends to expand its service portfolio and enhance customer engagement. (Respondent: Unidentified_2) For the complete transcript of the earnings call, please refer to the full earnings call transcript. This article first appeared on GuruFocus.
TechCrunch
20-05-2025
- Business
- TechCrunch
Google updates the Gemini app with real-time AI video, Deep Research, and more
Google announced several updates to the Gemini AI chatbot app during Google I/O 2025, including more broadly available multimodal AI features, updated AI models, and deeper integrations with Google's suite of products. Starting Tuesday, Google is rolling out Gemini Live's camera and screen-sharing capabilities to all users on iOS and Android. The feature, powered by Project Astra, allows users to have near-real time verbal conversations with Gemini, while simultaneously streaming video from their smartphone's camera or screen to the AI model. For example, while walking around a new city, users could point their phone at a building and ask Gemini Live about the architecture or history behind it, and get answers with little to no delay. In the coming weeks, Google says Gemini Live will also start to integrate more deeply with its other apps. The company says Gemini Live will soon be able to offer directions from Google Maps, create events in Google Calendar, and make to-do lists with Google Tasks. The slew of updates to Google's Gemini are part of the company's efforts to compete with OpenAI's ChatGPT, Apple's Siri, and other digital assistant providers. The rise of AI chatbots have given users a new way to interact with the internet and their devices. This has put pressure on several Big Tech businesses, including Google Search and Google Assistant. Google announced during I/O 2025 that Gemini now has 400 million monthly active users, and the company surely hopes to grow that user base with these updates. Google introduced two new AI subscriptions: Google AI Pro, a rebrand for its $20-per-month Gemini Advanced plan, as well as Google AI Ultra, a $250-per-month plan that competes with ChatGPT Pro. The Ultra plan gives users very high rate limits, early access to new AI models, and exclusive access to certain features. U.S. subscribers to Pro and Ultra, that have English selected as their language in Chrome, will also get access to Gemini in their Chrome browser, Google announced Tuesday. The integration aims to let users ask Gemini to summarize information or answer questions about what appears on their screen. Techcrunch event Join us at TechCrunch Sessions: AI Secure your spot for our leading AI industry event with speakers from OpenAI, Anthropic, and Cohere. For a limited time, tickets are just $292 for an entire day of expert talks, workshops, and potent networking. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW Google says it's updating Deep Research, Gemini's AI agent that generates thorough research reports, by allowing users to upload their own private PDFs and images. Deep Research will cross reference these private PDFs with public data to create more personalized reports. Soon, the company says users will be able to directly integrate Drive and Gmail to Deep Research. Free users of Gemini are getting an updated AI image model, Imagen 4, which Google says delivers better text outputs. Subscribers to the company's new $250-per-month AI Ultra plan will also get access to Google's latest AI video model, Veo 3, which also generates sound that corresponds to video scenes through native audio generation. Google is also updating the default model in Gemini to be Gemini 2.5 Flash, which the company says will offer higher quality responses with lower latency. To cater to the growing number of students that use AI chatbots, Google says Gemini will now create personalized quizzes focused on areas that users find challenging. When users answer questions wrong, Gemini will help create additional quizzes and action plans to strengthen those areas.
TechCrunch
20-05-2025
- Business
- TechCrunch
Project Astra comes to Google Search, Gemini, and developers
Google announced on Tuesday during Google I/O 2025 that Project Astra — the company's low latency, multimodal AI experience — will power an array of new experiences in Search, the Gemini AI app, and products from third-party developers. Most notably, Project Astra is powering a new Search Live feature in Google Search. When using AI Mode, Google's AI-powered search feature, or Lens, the company's visual search feature, users can click the 'Live' button to ask questions about what they're seeing through their smartphone's camera. Project Astra streams live video and audio into an AI model, and responds with answers to users' questions with little to no latency. First unveiled at Google I/O 2024 through a viral smart glasses demo, Project Astra was born out of Google DeepMind as a way to showcase nearly real-time, multimodal AI capabilities. Google now says it's building those Project Astra glasses with partners including Samsung and Warby Parker, but the company doesn't have a set launch date yet. What the company does have is a variety of Project Astra-powered features for consumers and developers. Google says Project Astra is powering a new feature in its Live API, a developer-facing endpoint that enables low-latency voice interactions with Gemini. Starting Tuesday, developers can build experiences that support audio and visual input, and native audio output — much like Project Astra. Google says the updated Live API also has enhanced emotion detection, meaning the AI model will respond more appropriately, and includes thinking capabilities from Gemini's reasoning AI models. In the Gemini app, Google says Project Astra's real-time video and screen-sharing capabilities are coming to all users. While Project Astra already powers Gemini Live's low-latency conversations, this visual input was previously reserved for paid subscribers. Google seems confident that Project Astra is the future for many of its products, and even can power an entirely new product category: smart glasses. While that may be true, Google still hasn't set a launch date for the Project Astra smart glasses it demoed last year. The company has offered a few more details on what those smart glasses will look like, but they still seem far from reality.
Globe and Mail
20-05-2025
- Business
- Globe and Mail
Simplenight Leverages Multiagent and Multimodal Large Language Models to Elevate Global Commerce
Simplenight is an AI-powered platform that integrates multi-agent and multimodal AI to create seamless, hyper-personalized solutions across industries, including government, finance, travel, and more. Simplenight has announced the integration of cutting-edge multi-agent and multimodal large language models into its AI-powered digital platform in a bid to transform global commerce. The company's goal is to deliver unprecedented connectivity across sectors like government, finance, travel, automotive, and healthcare. A Simplenight representative noted that this technological advancement enhances the company's mission of unifying industries into a single, dynamic digital ecosystem. The team explained that by leveraging the collaborative intelligence of multi-agent systems and the rich understanding of multimodal AI, Simplenight's platform drives deeper personalization, operational optimization, and smarter decision-making for over 500 million users worldwide. Through natural language processing, visual recognition, and contextual data analysis, the platform offers an immersive and seamless experience across devices and channels. 'Simplenight was built to transform how industries interact and how people experience services globally,' said Mark Halberstein, CEO of Simplenight. 'With the addition of multiagent and multimodal LLMs, we're not just evolving — we're redefining the very fabric of global commerce and service delivery.' Simplenight 's expansive supplier network now taps into over 10 million bookable products and services across 5,000 cities in 191 countries. From accommodations and transportation to healthcare services and entertainment, users can now access a truly integrated global marketplace. Multi-agent collaboration enhances service curation, while multimodal AI ensures a highly intuitive user interface capable of understanding voice commands, images, and text. In the travel and tourism domain, the new platform enables hyper-personalized itinerary creation, which offers curated travel experiences based on preferences, environmental conditions, and even user emotions detected through multimodal analysis. Users can book flights, hotels, dining, and excursions effortlessly through a unified, AI-enhanced journey planner. Financial institutions are embedding Simplenight's multi-agent capabilities into mobile apps, allowing for smart portfolio management, lifestyle service recommendations, and contextual commerce opportunities. Meanwhile, automotive companies integrate the platform into connected vehicle systems to offer drivers and passengers proactive, AI-driven service suggestions in real-time. Government agencies are also adopting Simplenight's platform to streamline resident services, foster tourism, and enhance public engagement through intelligent, personalized citizen interactions, all while adhering to strict global privacy and ethical AI standards. Gary Fowler, advisor to Simplenight and CEO of GSD Venture Studios, emphasized the game-changing nature of the update, saying, 'Simplenight's embrace of multi-agent and multimodal LLMs is setting a new benchmark. They're creating not just a smarter commerce platform, but a more human-centered digital world.' In addition to transforming commerce and service delivery, Simplenight's AI-driven predictive analytics empower businesses and institutions to make faster, more informed decisions. This ensures adaptive responses to market changes, user needs, and emerging opportunities, maintaining Simplenight's leadership in the rapidly evolving landscape of AI-integrated commerce. The Simplenight technology is built to make its offerings customized, bookable, and personalized through cloud-based distribution and dynamic packaging and merchandising. The company customizes its API and white-label booking solution for every client so they can power their own interface via the universal API. When it comes to booking, Simplenight fully handles the process and considers it a vital component of the entire package to make booking as easy as possible for potential customers. Finally, the team stressed the importance of personalized recommendations. "We see a holistic picture of the customers' interests and historical purchasing behavior. That's why we offer partners supreme data insights to drive loyalty and customer lifetime value," the company representative stated. The team noted that many Simplenight suppliers were happy to report increased exposure and revenue. Many have praised Simplenight for its multilingual and multicurrency approach, which the company described as an obvious approach for a truly customizable global platform. Suppliers can optimize their operations through a host of performance tracking features, including intuitive reports on traveler booking trends, payment status, and transactional history. More information about Simplenight, its approach, and key features can all be found on the company's official website. Media Contact Company Name: Contact Person: Gary A. Fowler Email: Send Email Country: United States Website:
South China Morning Post
12-05-2025
- Business
- South China Morning Post
Tencent-backed StepFun aims to stand out in China's AI race with multimodal models
Tencent Holdings -backed artificial intelligence (AI) start-up StepFun is doubling down on multimodal models, a strategic move that highlights how Chinese tech companies seek to differentiate themselves in an increasingly competitive sector. StepFun was one of the pioneering AI labs in China specialising in multimodal models, company founder and CEO Jiang Daxin said in an interview with Tencent's news portal on Saturday. Multimodal models are designed to understand multiple types of input data such as text, video and audio, unlike traditional models that only handle one type. Jiang emphasised StepFun's strengths across audio, image, video and music generation models, along with its focus on foundational AI technology. 'We're doing pretty well in these areas, which allow us to integrate them and explore cutting-edge directions,' he was quoted as saying. Jiang Daxin, StepFun's founder and CEO, speaks at a conference in Shanghai in February. Photo: AFP This comes as the Chinese AI market becomes more homogeneous after a rapid influx of model releases that lack significant differentiation since earlier this year, according to analysts.
