Glance and Samsung Galaxy Store Partner to Redefine Mobile Commerce: Launching a New AI Shopping Experience for Samsung Users in US
SAN MATEO, Calif.--(BUSINESS WIRE)--Glance, the consumer technology company backed by Google, launches Glance AI, an AI Commerce platform that delivers inspirational Generative-AI led commerce and content discovery for Samsung users in the US. As part of this strategic partnership, Samsung users will gain access to Glance's AI shopping and styling experiences.
Glance AI is a Gen AI shopping platform disrupting how consumers shop today. They can instantly visualize themselves in outfits and destinations they would never imagine and purchase their favorites with just a tap. Built on Google Gemini's intelligence and Imagen's state-of-the-art image generation capabilities, Glance AI offers custom experiences across multiple Android handset manufacturers. Through this new partnership, Glance AI is unveiling its new custom app experience specially designed for Samsung users.
"Glance AI is driven by a core human truth - each one of us wants to become the best version of ourselves. What stands between that aspiration and reality is the awareness of what is possible or access to platforms that enable this,' said Naveen Tewari, Founder and CEO, Glance. 'Glance AI helps consumers discover and visualize what's possible – starting with an outfit that makes them look and feel great – and own it with just a tap on the platform. Samsung's commitment to enable Glance AI across its US devices will enable consumers to enjoy a fully user-opted-in experience where inspirational commerce and content converge.'
Available as both an app and a lockscreen experience, Glance AI is a fully opt-in experience. It trains itself on a single selfie or an image from the image gallery to generate hyper-real images of consumers in outfits best suited for them. As users visualize themselves in various outfits, they can make real-time purchase decisions with just a tap. The recommendations and order fulfillment are driven by Glance AI's extensive partnership with more than 400 leading brands and retailers in the US and beyond. The app further allows users to place the feature directly on their lock screen for easy access and the ability to save each look as either their lockscreen wallpaper or download to share across their network.
Glance AI also leverages trending content, local events, and social media moments to make recommendations fresh, relevant, and engaging. High-speed inferencing helps deliver options such as flash sales and trend-driven commerce, making every shopping experience unique and effortless. By utilizing Samsung's extensive reach alongside the power of AI, Glance aims to redefine user interaction with smartphones, making every moment spent on the device richer and more efficient.
'At Samsung Galaxy Store, we're proud to be more than just an app marketplace – we're a destination for innovation, discovery, and meaningful experiences tailored for Galaxy users,' said Jason Shim, Sr. Director and Head of Samsung Galaxy Store USA. 'Glance AI is a perfect example of the kind of high-quality and unique content we strive to deliver. By using AI to personalize content and shopping directly on the lock screen, it brings a smarter, more dynamic experience that reflects the forward-thinking spirit of the Galaxy Store.'
This collaboration paves the way for a mobile ecosystem that enables users to discover new styles and trends, transforming the smartphone into a dynamic center of styling and commerce.
Glance AI begins its staged rollout today starting with popular Samsung handsets including Galaxy S22 plus, Galaxy S22 Ultra, Galaxy S23, Galaxy S23 Ultra, Galaxy S23 plus, Galaxy S24, Galaxy S24 Ultra, Galaxy S24 plus, Galaxy S24 FE, Galaxy S25, Galaxy S25 Ultra and Galaxy S25 plus. The rest of the device models and a full 100% scale are expected to be achieved within next 30 days.
About Glance
Glance is a consumer technology company, creating an industry-defining AI commerce platform to help consumers and businesses reimagine shopping using generative AI. Built on a proprietary AI architecture fusing predictive intelligence, neural visualization and real-time orchestration across devices from mobile, TV to apps, Glance AI is leading disruption in commerce. Glance is backed by Google, Jio Platforms, and Mithril Capital.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
34 minutes ago
- Yahoo
AI Can't Replace Education
Credit - Tingting Ji—Getty Images As commencement ceremonies celebrate the promise of a new generation of graduates, one question looms: will AI make their education pointless? Many CEOs think so. They describe a future where AI will replace engineers, doctors, and teachers. Meta CEO Mark Zuckerberg recently predicted AI will replace mid-level engineers who write the company's computer code. NVIDIA's Jensen Huang has even declared coding itself obsolete. While Bill Gates admits the breakneck pace of AI development is 'profound and even a little bit scary,' he celebrates how it could make elite knowledge universally accessible. He, too, foresees a world where AI replaces coders, doctors, and teachers, offering free high-quality medical advice and tutoring. Despite the hype, AI cannot 'think' for itself or act without humans—for now. Indeed, whether AI enhances learning or undermines understanding hinges on a crucial decision: Will we allow AI to just predict patterns? Or will we require it to explain, justify, and stay grounded in the laws of our world? AI needs human judgment, not just to supervise its output but also to embed scientific guardrails that give it direction, grounding, and interpretability. Physicist Alan Sokal recently compared AI chatbots to a moderately good student taking an oral exam. 'When they know the answer, they'll tell it to you, and when they don't know the answer they're really good at bullsh*tting,' he said at an event at the University of Pennsylvania. So, unless a user knows a lot about a given subject, according to Sokal, one might not catch a 'bullsh*tting' chatbot. That, to me, perfectly captures AI's so-called 'knowledge.' It mimics understanding by predicting word sequences but lacks the conceptual grounding. That's why 'creative' AI systems struggle to distinguish real from fake, and debates have emerged about whether large language models truly grasp cultural nuance. When teachers worry that AI tutors may hinder students' critical thinking, or doctors fear algorithmic misdiagnosis, they identify the same flaw: machine learning is brilliant at pattern recognition, but lacks the deep knowledge born of systematic, cumulative human experience and the scientific method. That is where a growing movement in AI offers a path forward. It focuses on embedding human knowledge directly into how machines learn. PINNs (Physics-Informed Neural Networks) and MINNs (Mechanistically Informed Neural Networks) are examples. The names might sound technical, but the idea is simple: AI gets better when it follows the rules, whether they are laws of physics, biological systems, or social dynamics. That means we still need humans not just to use knowledge, but to create it. AI works best when it learns from us. I see this in my own work with MINNs. Instead of letting an algorithm guess what works based on past data, we program it to follow established scientific principles. Take a local family lavender farm in Indiana. For this kind of business, blooming time is everything. Harvesting too early or late reduces essential oil potency, hurting quality and profits. An AI may waste time combing through irrelevant patterns. However, a MINN starts with plant biology. It uses equations linking heat, light, frost, and water to blooming to make timely and financially meaningful predictions. But it only works when it knows how the physical, chemical, and biological world works. That knowledge comes from science, which humans develop. Imagine applying this approach to cancer detection: breast tumors emit heat from increased blood flow and metabolism, and predictive AI could analyze thousands of thermal images to identify tumors based solely on data patterns. However, a MINN, like the one recently developed by researchers at the Rochester Institute of Technology, uses body-surface temperature data and embeds bioheat transfer laws directly into the model. That means, instead of guessing, it understands how heat moves through the body, allowing it to identify what's wrong, what's causing it, why, and precisely where it is by utilizing the physics of heat flow through tissue. In one case, a MINN predicted a tumor's location and size within a few millimeters, grounded entirely in how cancer disrupts the body's heat signature. The takeaway is simple: humans are still essential. As AI becomes sophisticated, our role is not disappearing. It is shifting. Humans need to 'call bullsh*t' when an algorithm produces something bizarre, biased, or wrong. That isn't just a weakness of AI. It is humans' greatest strength. It means our knowledge also needs to grow so we can steer the technology, keep it in check, ensure it does what we think it does, and help people in the process. The real threat isn't that AI is getting smarter. It is that we might stop using our intelligence. If we treat AI as an oracle, we risk forgetting how to question, reason, and recognize when something doesn't make sense. Fortunately, the future doesn't have to play out like this. We can build systems that are transparent, interpretable, and grounded in the accumulated human knowledge of science, ethics, and culture. Policymakers can fund research into interpretable AI. Universities can train students who blend domain knowledge with technical skills. Developers can adopt frameworks like MINNs and PINNs that require models to stay true to reality. And all of us—users, voters, citizens—can demand that AI serve science and objective truth, not just correlations. After more than a decade of teaching university-level statistics and scientific modeling, I now focus on helping students understand how algorithms work 'under the hood' by learning the systems themselves, rather than using them by rote. The goal is to raise literacy across the interconnected languages of math, science, and coding. This approach is necessary today. We don't need more users clicking 'generate' on black-box models. We need people who can understand the AI's logic, its code and math, and catch its 'bullsh*t.' AI will not make education irrelevant or replace humans. But we might replace ourselves if we forget how to think independently, and why science and deep understanding matter. The choice is not whether to reject or embrace AI. It's whether we'll stay educated and smart enough to guide it. Contact us at letters@
Yahoo
41 minutes ago
- Yahoo
Cantor Says These 2 SaaS Stocks Are Top Picks as AI Rewrites the Software Playbook
AI and cloud services have already made their mark on the tech landscape, and the next iteration is taking shape: artificial intelligence software as a service, or AI SaaS. Simply put, it refers to the use of cloud technology to deliver advanced AI tools while minimizing cost and resource demands for end users. Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter The cloud can already reach a wide range of customers, users who require high-end computing but can't support the infrastructure themselves. Adding AI to the mix will put advanced functions – think machine learning and natural language processing – into the cloud's toolbox. From a user perspective, putting AI tools into the subscription-based SaaS model will also give advantages in flexibility and scalability. The opportunity here is substantial. According to Zion Market Research, last year, the AI SaaS market was estimated to be worth $115.22 billion – and it's predicted to see a CAGR of 38% or more over the next decade, to reach $2.97 trillion by 2034. Covering the AI/SaaS segment from Cantor, analyst Matthew VanVliet sees major upside in this space – and in the stocks poised to benefit. 'We believe there is ample upside for the group ahead, as AI represents a much greater catalyst than anything in the past couple of years, more significant and sustainable than pandemic-era work-from-anywhere investments. Our view is the opportunity for growth to re-accelerate points to upside for the AI winners, unlocking multiple expansion if this plays out as we are expecting,' VanVliet opined. Building on that bullish outlook, the analyst has singled out two top picks he believes are especially well-positioned to ride this next wave of AI-driven growth – a view echoed by the broader analyst community. According to the TipRanks database, both stocks carry Strong Buy consensus ratings from the Street. Let's take a closer look. Klaviyo, Inc. (KVYO) The first company we'll look at here is Klaviyo, a software firm that brings CRM (customer relationship management) to the B2C world. The company fields a proprietary data platform with AI insights, to give its customers effective marketing automation, data analysis, and customer service. The aim here is personalized service – Klaviyo's customers can use the company's software packages to improve their own customers' interactions: customer profiles, omnichannel campaigns, web forms, and more. Klaviyo has built its operations and reputation on the quality of its data-based services – which positioned the company well to integrate AI into its offerings. The company's email and SMS marketing services already make use of AI tech to smooth out customization and targeting, to automate content generation, and to optimize send times. Klaviyo's clean data library is a key support for the AI services. Strong services have allowed this company to build a solid customer base. In its last financial release, Klaviyo defined a customer as 'a distinct paid subscription to our platform;' by that definition, the company stated that it had over 169,000 customers as of this past March 31. Within that customer base, the number of large customers – defined as those generating more than $50,000 in annual recurring revenue (ARR) came to 3,030, up 40% year-over-year. In addition to building a strong customer base, Klaviyo's 1Q25 financial release also showed quarterly revenue of $279.8 million, up 33% year-over-year and $11.89 million ahead of the forecasts. The company ran a net loss in the quarter, of 5 cents per share, but that was one cent per share better than had been anticipated. Turning to Cantor's VanVliet, we find the analyst upbeat on Klaviyo, citing the company's strong position and its large total addressable markets and potential for growth. He writes of the stock, 'KVYO's core ecommerce/retail SAM is ~$16b, with a clear eye to more of the market as the platform expands, uptake of its CRM increases, such that it becomes a true system of record, and AI broadens its reach. KVYO's TAM also keeps expanding as it moves upmarket and diversifies across new industries and geographies. Within the US, it sizes the TAM at $34b and the global opportunity at $68b. At $1b+ of revenue today, KVYO's penetration remains low, providing it a long runway of potential future growth.' VanVliet's comments back up his Overweight (i.e., Buy) rating here, and his $48 price target implies a potential gain of 41% for the shares in the year ahead. (To watch VanVliet's track record, click here) The Strong Buy consensus rating on KVYO shares is based on 18 recent Wall Street recommendations, which break down to 15 Buys and 3 Holds. The stock's $33.95 current trading price and $43.41 average target together suggest a one-year upside of 28%. (See KVYO stock forecast) HubSpot, Inc. (HUBS) Next on our list of Cantor's Top Picks is HubSpot, the well-known marketing software platform. The company has a reputation for innovation and has developed a solid stable of marketing software packages offered through a unified platform. HubSpot's software solves problems and smooths out processes in CRM, content management, social media management, and SEO – in fact, in pretty much any area of online direct marketing, inbound sales, and customer service. HubSpot introduced its Breeze AI toolkit last year as an AI enhancement of the company's existing services – and as an independent set of AI-powered marketing tools. The company's Breeze Customer Agent is billed as a '24/7 AI concierge,' capable of independently automating features in marketing, sales, and service. The system is designed to act on the human operator's instruction, with the AI agent handling the implementation. HubSpot claims that client teams using the AI agent see a 10% higher close rate on work orders, a 39% faster ticket resolution, and upwards of 50% of customer contact conversations resolved automatically – with the top users reaching 90%. In addition to streamlining marketing outreach, HubSpot also makes AI systems available in the content field. The company's Breeze Content Agent can scale content marketing efforts, create and publish landing pages, and generate search-optimized blog posts – and all in minutes rather than hours. The AI can even handle scripting and voiceover for video content. In its 1Q25 financial report, HubSpot reported what it described as a 'solid start' to the year. The company's customer count as of March 31 was up 19% year-over-year, a growth figure that offset a 4% decline in average subscription revenue per customer. At the top line, HubSpot reported $714.1 million in revenue, up 16% year-over-year and $13.7 million ahead of the pre-release estimates. HubSpot runs a quarterly profit, and in Q1 it realized a non-GAAP EPS of $1.84 – 8 cents better than expected. The company finished Q1 with $2.2 billion in cash and liquid assets on hand. Checking in again with VanVliet and the Cantor view of this CRM firm, we find him impressed by HubSpot's record of success. The analyst says of the company, 'HUBS is one of the few CRM industry players that has successfully moved into adjacent sub-categories (started in Marketing, expanded to Sales, Service, Content, and increasingly Commerce). We think this is a testament to HUBS's mgmt., which we view as best-of-breed. By methodically building the platform breadth and depth, HUBS is now gaining traction upmarket, which is key to sustaining mid-to-high teens growth over the medium term. HUBS is also building a more robust partner network, which is further accelerating upmarket traction.' Looking ahead, and specifically looking at HubSpot's use of AI to chart a new path ahead, the Cantor analyst remains upbeat, adding to his comments above, 'HUBS' organically built platform is well-positioned to leverage AI and strengthen its competitive edge. Breeze AI is already driving higher Content Hub attach rates (tripled y/y in 1Q). Further, we think Breeze will play an important role in unlocking Service Hub traction, which is critical to HUBS' next leg of growth.' Unsurprisingly, VanVliet rates HUBS stock as Overweight (i.e., Buy). His price target, set at $775, indicates room for an upside potential of 28.5% on the one-year horizon. HubSpot has picked up 28 recent analyst recommendations, which include 24 to Buy against just 4 to Hold, for a Strong Buy consensus rating. The stock is selling for $602.61, and its $749.32 average price target implies a potential one-year gain of 24%. (See HUBS stock forecast) To find good ideas for stocks trading at attractive valuations, visit TipRanks' Best Stocks to Buy, a tool that unites all of TipRanks' equity insights. Disclaimer: The opinions expressed in this article are solely those of the featured analyst. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment. Disclaimer & DisclosureReport an Issue Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
an hour ago
- Yahoo
This Company Signed an AI Deal With Palantir. Could It Be the Next Big Growth Stock?
Palantir in March announced an artificial intelligence (AI) partnership with Archer Aviation. Archer isn't generating revenue, but it has big plans for growth in the air taxi industry. The company hopes to scale its operations significantly by the end of the decade. 10 stocks we like better than Archer Aviation › Palantir Technologies (NASDAQ: PLTR) has been one of the top artificial intelligence (AI) stocks to own in recent years. And when it partners with a business, that can be a great sign for an emerging company. In March, Palantir announced a deal to work with Archer Aviation (NYSE: ACHR), which could help it scale its manufacturing capabilities, and position it for long-term growth ahead. With Palantir working with Archer, could the aviation company become the next big growth stock to invest in? Archer is in the business of developing electric vertical takeoff and landing (eVTOL) aircraft that can transport people and possibly solve traffic headaches in major cities like New York and Los Angeles. It's in the early stages of producing its Midnight aircraft, and by the end of this year, its goal is to be able to manufacture at least two per month. Leveraging Palantir's AI tools to help improve its processes can help the company hit its goals. By 2030, Archer hopes to be making 650 aircraft per year. The company has been named the official air taxi provider of the Olympic Games in Los Angeles in 2028. A strong showing there could legitimize Archer's business model to a much wider range of consumers, and investors. The key will be producing enough eVTOLs (the Midnight can transport just four passengers) by then and having them ready to go for the Games. But even before that, and as early as this summer, the company expects to deliver a Midnight aircraft (piloted) to the United Arab Emirates. Meeting that goal would be another good sign of progress for investors. A clear risk with Archer's stock at this early stage is that it isn't generating any revenue yet, and its losses are piling up. During the first three months of the year, the company incurred an operating loss of $144 million, versus $142.2 million in the prior-year period. The danger is that as the company scales operations and starts producing aircraft at a fast rate, its expenses could rise quickly. The good news is that the company is well funded with more than $1 billion in cash on its books; It used up $94.6 million over the course of its day-to-day operating activities in the first three months of the year. For now, there appears to be sufficient runway for the business to grow, but I'll be curious to see what its operating expenses and cash burn look like when production really ramps up, and what its margins prove to be on its aircraft. In the past 12 months, shares of Archer have soared 200%, pushing its market cap up to over $5 billion. This is for a business that isn't generating revenue yet, and which is in the early stages of production. At this kind of valuation, investors are taking a big leap of faith on the business and that it will be able to scale effectively and efficiently, which is by no means a sure thing. Investors also shouldn't read too much into its partnership with Palantir, as that may not necessarily result in big gains or cost savings for Archer. While there is a significant market opportunity for Archer in the long run in the air taxi industry, a lot depends on its deployment and production, and the effectiveness of its aircraft. For now, I'd suggest waiting on the sidelines to see how things play out, as there's still considerable uncertainty and risk around the business. At such a high valuation, there isn't any margin of safety for investors. Before you buy stock in Archer Aviation, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Archer Aviation wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $674,395!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $858,011!* Now, it's worth noting Stock Advisor's total average return is 997% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 David Jagielski has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Palantir Technologies. The Motley Fool has a disclosure policy. This Company Signed an AI Deal With Palantir. Could It Be the Next Big Growth Stock? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
