Nvidia announced that Taiwan’s system manufacturers are set to build Nvidia DGX Spark and DGX Station systems. Growing partnerships with Acer, Gigabyte and MSI will extend the availability of DGX Spark and DGX Station personal AI supercomputers. Powered by the Nvidia Grace Blackwell platform, DGX Spark and DGX Station will enable developers to prototype, fine-tune and inference models from the desktop to the data center. DGX Spark is equipped with the Nvidia GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores. It delivers up to 1 petaflop of AI compute and 128GB of unified memory, and enables seamless exporting of models to Nvidia DGX Cloud or any accelerated cloud or data center infrastructure. Built for the most demanding AI workloads, DGX Station features the Nvidia GB300 Grace Blackwell Ultra Desktop Superchip, which offers up to 20 petaflops of AI performance and 784GB of unified system memory. The system also includes the Nvidia ConnectX-8 SuperNIC, supporting networking speeds of up to 800Gb/s for high-speed connectivity and multi-station scaling. DGX Station can serve as an individual desktop for one user running advanced AI models using local data, or as an on-demand, centralized compute node for multiple users. The system supports Nvidia Multi-Instance GPU technology to partition into as many as seven instances — each with its own high-bandwidth memory, cache and compute cores — serving as a personal cloud for data science and AI development teams. To give developers a familiar user experience, DGX Spark and DGX Station mirror the software architecture that powers industrial-strength AI factories. Both systems use the Nvidia DGX operating system, preconfigured with the latest Nvidia AI software stack, and include access to Nvidia NIM microservices and Nvidia Blueprints. Developers can use common tools, such as PyTorch, Jupyter and Ollama, to prototype, fine-tune and perform inference on DGX Spark and seamlessly deploy to DGX Cloud or any accelerated data center or cloud infrastructure.
Accenture, Dell and NVIDIA partner to offer a full-stack solution for rapidly scaling AI in private, on-prem environments through one-click deployment, modular, reusable frameworks, automated workflows, and dynamic cloud-to-edge orchestration
Accenture in collaboration with Dell Technologies and NVIDIA, is providing an AI solution built on Dell Technologies infrastructure with NVIDIA AI Enterprise software. This helps organizations – particularly those within regulated industries or those with substantial investments in on-premises infrastructure – capitalize on the burgeoning opportunities of agentic AI. This collaboration extends the reach of the Accenture AI Refinery™ platform, bringing agentic AI capabilities with a one-click deployment to Dell’s high-performance, NVIDIA-accelerated infrastructure, helping companies realize value more quickly and reduce total cost of ownership. Accenture will further facilitate AI deployment with NVIDIA Enterprise AI Factory validated design, a guide for organizations to build on-premise AI factories leveraging NVIDIA Blackwell and a broad ecosystem of AI partners. The solution helps organizations rapidly scale AI in private, on-prem environments. It provides support for key requirements, including data sovereignty and compliance to help meet regulatory and data residency mandates; resiliency and high availability to meet business continuity requirements, security and privacy controls needed for air-gapped environments or restricted network zones; ultra-low latency for real-time uses cases like manufacturing or healthcare imagining; and edge or offline use cases critical for remote, disconnected environments where reliable internet access is limited or unavailable. Preconfigured packages integrate Accenture’s AI Refinery and the Dell AI Factory with NVIDIA, which includes NVIDIA Enterprise AI software, streamlining data transfer and indexing to empower data-driven agentic insights. This unified, full-stack solution helps to accelerate enterprise AI transformation by enabling rapid service prototyping with modular, reusable frameworks, automated workflows, and dynamic cloud-to-edge orchestration.
WHSmith runs store takeover promotion with Nestle- participants engage with Nestlé Essentia branding through a variety of touchpoints, including the retailer’s WHS Media retail media network in-store digital screens and audio, front-of-store pop-up displays, floor decals, and other creative placements throughout the stores
Global travel retailer WHSmith and CPG company Nestle are promoting a bottled water brand via an experiential retail media campaign. The activation includes full-store takeovers at 10 WHSmith airport locations, as well as a complete terminal takeover and an interactive basketball arcade experience at New York City’s LaGuardia Airport. The three-week campaign kicked in May 2025 with WH Smith store takeovers by Nestle at 10 U.S. airports, including LaGuardia, Newark Liberty International, Palm Springs International, Orlando International, and Phoenix Sky Harbor. Shoppers at participating will engage with Nestlé Essentia branding through a variety of touchpoints, including the retailer’s WHS Media retail media network in-store digital screens and audio, front-of-store pop-up displays, floor decals, and other creative placements throughout the stores. The campaign also includes a full terminal takeover of LaGuardia’s Terminal E, beginning May 15. Travelers see Nestlé Essentia branding throughout the terminal, and can play a branded version of Pop-A-Shot, the basketball arcade game, fully wrapped in Nestlé Essentia creative.
Square’s new pop-up store in San Francisco to provide hands-on support in one-on-one consultations with Square experts and act as community hub for networking and collaboration
Square announced the opening of The Corner Store, a new community space for local businesses located at 1100 Valencia Street (corner of 22nd and Valencia) in San Francisco’s Mission District. Opening May 27th and running through June, this pop-up initiative will provide hands-on support and educational resources to area merchants and create a point of connection where home-grown businesses can network and collaborate. In 2024, Square processed more than 20,000 transactions per day in the Mission. The Corner Store will serve as both a daytime resource center and an evening community hub with programming for local business owners and operators. During business hours, sellers can access one-on-one consultations with Square experts, receive personalized guidance on Square’s suite of business tools, and get hands-on experience with the company’s latest innovations, including products and tools recently announced in Square Releases. A selection of curated goods from Mission-based Square sellers will be available, and hardware devices, including the recently announced Square Handheld, can be purchased on-site.
Citcon to integrate Splitit’s one-click credit card-linked installments into its payment platform to enable merchants to offer flexible omnichannel installments without credit checks for both online and in-store sales
Citcon and Splitit have partnered to enable Citcon’s merchants to offer Splitit’s one-click credit card-linked installments both online and in-store. The companies’ new partnership adds Splitit’s flexible payment offering to Citcon’s global payment platform that is used by retail, luxury and hospitality brands. “Partnering with Splitit allows us to offer flexible omnichannel installments, bringing over [190 million] U.S. cardholders with available credit, driving new sales at high average-ticket merchants,” Citcon Co-founder and President Wei Jiang said. Splitit’s platform eliminates the need for applications or credit checks. Instead, it leverages the credit consumers already have, allowing them to break purchases into manageable monthly installments. This seamless, friction-free approach can improve conversion and customer satisfaction at checkout. Citcon can deliver this offering to merchants through its payment platform that is fully integrated with more than 50 leading point of sale systems, gateways and middleware providers, and enables merchants using these platforms to easily activate new payment methods.
Tesco’s VAR-style tech at self-checkout tills uses camera that records customers’ actions and detects when items may not have been properly scanned to combat shoplifting
Tesco has introduced VAR-style replay technology at its self-checkout tills to combat shoplifting. The technology uses artificial intelligence to detect when items may not have been properly scanned. If a shopper fails to scan the items correctly, they are warned to remove from the bagging area and try again. Retail experts believe this visual evidence makes shoplifters more likely to pay for items rather than risk being caught. The technology could lead to the removal of security measures from everyday products. Shoplifting has reached record levels in the UK, costing retailers £2bn annually, and staff facing increasing violence and abuse.
Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases enable building multimodal applications for natural language querying through a RAG-based Q&A interface
Organizations face challenges in processing large amounts of unstructured data, including documents, images, audio files, and video files. Generative AI technologies are revolutionizing this by automatically processing, analyzing, and extracting insights from these diverse formats. Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases enable organizations to build powerful multimodal RAG applications with minimal effort. These tools automate workflows, store extracted information in a unified repository, and enable natural language querying through a RAG-based Q&A interface. Real world use cases
The integration of Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases enables powerful solutions for processing large volumes of unstructured data across various industries. Financial institutions process thousands of documents daily, from loan applications to financial statements. Amazon Bedrock Data Automation extracts key financial metrics and compliance information, while Amazon Bedrock Knowledge Bases allows analysts to ask questions like “What are the risk factors mentioned in the latest quarterly reports?” or “Show me all loan applications with high credit scores.”
Fenergo’s agentic AI for compliance allows users to interact with all operational, policy and entity data through natural language and harness real-time insights on process efficiency, operations and risk
Fenergo, a Dublin-based provider of client lifecycle management and compliance solutions, has launched its FinCrime Operating System. The system uses “agentic AI” to help firms cope with rising operational costs and compliance demands. The FinCrime OS unifies client lifecycle events, including onboarding, KYC, screening, ID&V, and transaction monitoring, on a single platform. The system can automate tasks and save up to 93% of operational costs. Fenergo’s initial six AI agents can streamline periodic KYC reviews, cutting review timeframes by up to 45%. The Six AI agents available today include: Data sourcing agent: Sources data from one or more third-party data provider, compares against entity data and auto-completes tasks; Screening agent: Runs screening checks against third-party integrations, auto-resolves hits and returns results to providers; Document agent: Extracts, classifies and links documents using AI to automate document-management processes; Significance agent: Performs a check against data changes to determine significance to define next action; Autocompletion agent: Automates the completion of tasks based on pre-defined rules, policy and configured guardrails; and Insights agent: Fenergo’s co-pilot allows users to interact with all operational, policy and entity data through natural language and harness real-time insights on process efficiency, operations and risk.
BIS quantifies stablecoin impact on Treasury rates- stablecoin issuers have surpassed China to be the third largest purchasers of Treasuries bills as market influence grows
New research from the Bank for International Settlements (BIS) reveals striking statistics about stablecoin market influence. While stablecoin issuers have been noted as major holders of short term Treasuries, surpassing the holdings of countries such as China, the BIS highlights that during 2024, they were the third largest purchasers of Treasuries bills*. That figure is based on the net increase in stablecoin reserves. Regarding the impact on Treasury rates, the BIS study notes that a naive analysis of a $3.5 billion change in stablecoin holdings of Treasury bills implies a 25 basis point (0.25%) change in short term Treasury yields. However, it says this significantly overstates the impact, because many factors will simultaneously influence both stablecoin demand and Treasury rates. To try to isolate the impact of stablecoins, it explored major crypto events unrelated to movements in interest rates. Based on its research, the BIS concludes that the impact of sales of $3.5 billion of Treasuries by stablecoin issuers causes an increase in Treasury bill yields of six to eight basis points (0.06% – 0.08%). This is a much bigger effect than purchases, because sales are frequently more urgent given they may involve a mini crisis. A similarly sized purchase of Treasuries would result in a decline in Treasury rates of three basis points (-0.03%). The paper also noted that stablecoins are still comparatively small and the research is based on current volume levels. As stablecoins grow, the relative impact will increase. This will also create financial stability risks because of their effect on Treasury rates if there’s a run on a stablecoin. Additionally, with larger volumes of stablecoins, it will reduce the ability of the Federal Reserve to influence interest rates.
Startup New Gen is building AI storefronts using “AI subdomain” to receive AI-driven traffic; it reindexes a brand’s entire product catalog and uses AI models to create dynamic product pages and recommendation
Startup New Generation, or simply New Gen, is building AI storefronts – versions of brands’ websites that dynamically interact with AI chatbots and agents. Its technology helps brands automate product tagging, personalize responses and adapt to real-time market trends. To build the AI storefront, New Gen creates an “AI subdomain” — a dedicated microsite such as “ai.brand.com” designed to receive AI-driven traffic from tools like ChatGPT or website-browsing agents like Operator. Their system reindexes a brand’s entire product catalog, combines structured and unstructured data such as product descriptions and social media posts, and uses AI models to create dynamic product pages and recommendations. This data pipeline is available through an API for other companies to access. For image generation, New Gen uses Gemini 2.5. For prose and copy, the team relies on Anthropic’s Claude 4. For code and front-end generation, OpenAI’s models are preferred. Brands can control the experience through a merchant dashboard, setting preferences for tone of voice, which products to highlight, and seasonal merchandising strategies. Over time, the AI storefronts would integrate with marketplaces such as Shopify or WooCommerce. New Gen has partnered with Visa as part of the payments giant’s Intelligent Commerce initiative to enable AI agents to make purchases on behalf of consumers.