Lowe’s Companies is introducing Mylow Companion, an AI-enabled employee app developed in partnership with Open AI, developer of the ChatGPT generative AI model. Purpose-built for associate sales floor devices, the app provides access to product details, project advice, and inventory information, and also speeds up the employee onboarding process. According to Lowe’s the launch of MyLow Companion to all associates across its more than 1,700 stores marks the first time a retailer has successfully implemented this kind of technology at scale. Mylow Companion uses generative AI to let associates obtain answers to customer inquiries using natural, conversational prompts, including voice-to-text for faster, hands-free use. Mylow Companion is built on the same platform as Lowe’s recently launched Mylow customer chatbot. Mylow delivers quick, conversational answers directly to customers’ home improvement questions and can provide insights on customer projects during their product discovery, helping ensure they find and purchase the right tools and materials for their projects. Shoppers using Mylow can also refine their local recommendations by providing details like their project budget or ZIP code.
Electron AI, the agentic assistant for data teams and analysts generates precise, context-aware mapping logic across source systems, semantic models, and destination schemas
Reactor Data announced the production launch and immediate availability of Electron AI – the embedded conversational AI assistant designed to help data teams and analysts create powerful data mappings, transformations and pipelines. Electron acts as an intelligent co-pilot, enabling data analysts and teams to generate precise, context-aware mapping logic across source systems, semantic models, and destination schemas – all through simple conversational interactions. Electron acts as a natural-language assistant familiar with all aspects of a company’s data pipelines including sources, source schemas, multi-step transformations including complex data combinations, output configurations and destination tables. Whether a business is normalizing product titles, mapping transactional IDs, or aligning common fields across disparate sources, Electron helps brands go from request to result faster, with less friction and fewer mistakes. Key Capabilities of Reactor Data’s Electron AI: Conversational and Multilanguage Coding: Ask Electron to write complex data transformations, and it returns both Python code and simple natural language expressions. Pipeline and Context-Aware: Electron is tightly integrated with Reactor’s modular pipeline tools for source, semantic, and destination processing. Electron understands source and destination schemas and rules to offer precise, pre-validated mappings. Iterative Authoring: Electron translates natural language into mapping expressions with null handling, coalescing, formatting, and refinement based on feedback.
Neo4j’s serverless solution enables users of all skill levels to access graph analytics without the need for custom queries, ETL pipelines, or specialized graph expertise and can be used seamlessly with any data source
Neo4j, has launched Neo4j Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with any data source, and with Zero ETL (extract, load, transfer). The solution delivers the power of graph analytics to users of all skill levels, unlocking deeper intelligence and achieving 2X* greater insight precision and quality over traditional analytics. The new Neo4j offering makes graph analytics capabilities accessible to everyone and eliminates adoption barriers by removing the need for custom queries, ETL pipelines, or any need for specialized graph expertise – so that business decision-makers, data scientists, and other users can focus on outcomes, not overhead. Neo4j Aura Graph Analytics requires no infrastructure setup and no prior experience with graph technology or Cypher query language. Users seamlessly deploy and scale graph analytics workloads end-to-end, enabling them to collect, organize, analyze, and visualize data. The offering includes the industry’s largest selection of 65+ ready-to-use graph algorithms and is optimized for high-performance applications and parallel workflows. Users pay only for the processing power and storage they consume. Additional benefits and capabilities below are based on customer-reported outcomes that reflect real-world performance gains: 1) Up to 80% model accuracy, leading to 2X greater efficacy of insights that go beyond the limits of traditional analytics. 2) Insights achieved twice as fast as open-source alternatives with parallelized in-memory processing of graph algorithms 3) 75% less code, Zero ETL. 4) No administration overhead, and lower total cost of ownership.
Amazon’s newest AI tool is designed to help merchants improve their listings automatically suggesting product titles, attributes, descriptions, and missing details
Amazon said Thursday it is releasing a new generative AI-powered tool to help merchants improve their listings with missing details or attributes. Sellers often have hundreds of products listed on Amazon, and they need to update information related to them from time to time, which can be a cumbersome task. The e-commerce tech giant wants sellers to use its new AI-powered tool, called Enhance My Listing, to make the chore easier. The tool automatically suggests product titles, attributes, descriptions, and missing details to sellers based on seasonal trends. Sellers can accept, reject, or modify these suggestions before updating the product listing in Amazon’s catalog. Amazon said it uses its own Amazon Bedrock service for generative AI models to get insights from customer engagement on the platform. Enhance My Listing is rolling out to select sellers in the U.S. starting today, with an expanded rollout scheduled for the coming weeks. The company introduced generative AI tools for sellers starting in 2023 with a feature that helped them write product descriptions. In March 2024, Amazon added a tool that allowed sellers to create a listing by inserting a product URL from their websites. That feature also lets sellers upload a single image or write a few words to generate a listing. Amazon said that over 900,000 sellers have used its generative AI tools to date. The company added that over 90% of the time merchants accept AI-generated content without any edits.
That’s not necessarily an endorsement of the tools’ accuracy, to be clear — it could be that some sellers aren’t reviewing the outputs closely.
Modern Treasury’s AI agent for enterprise payment operations only takes action when it’s approved to do so, doesn’t let third-party model providers train on company data, is auditable by design and delivers verifiable results
Modern Treasury, the payment operations platform for businesses, introduced Modern Treasury AI to deliver the first AI Platform purpose-built for the unique demands of enterprise payments. Built on the company’s Payment Ops infrastructure, Modern Treasury AI blends a context-aware agent with a powerful, real-time workspace. Together, they set a new standard in how businesses manage payment operations, transitioning from manual, reactive processes to proactive, intelligent workflows. The AI Agent is the first enterprise-grade Agent that understands payments, is auditable by design and delivers verifiable, rapid results built on existing connectivity and a deep understanding of how enterprise payment systems and workflows work. When combined with the Workspace, a canvas for payment teams and the AI Agent to operate in, they create a new model for how companies manage payment workflows, streamlining operations from insight to execution to issue resolution. Key features include: AI That Respects Rules and Roles: The AI Agent only takes action when it’s approved to do so and will never let third-party model providers train on your data. Purpose-Built Intelligence; and Seamless Execution.
Capgemini unveils perpetual ‘Know-Your-Customer’ real-time continuous compliance sandbox automatically alerting firms to changes in a customer’s circumstances that could affect their risk profile, enabling them to re-assess their risk exposure to the customer
Capgemini has launched a technology sandbox to help financial institutions transition from static Know-Your-Customer (KYC) processes to perpetual KYC (pKYC) and event-based reviews. The sandbox, a first of its kind, provides a secure environment for firms to test and demonstrate the effectiveness of pKYC processes. It allows firms to automatically alert firms to changes in a customer’s circumstances that could affect their risk profile, enabling them to re-assess their risk exposure to the customer. Capgemini’s sandbox model is flexible and modular, allowing organizations to implement it across their cloud platforms and technologies. The sandbox is designed to meet regulatory requirements and demonstrate how financial institutions are mitigating inherent risk exposure more effectively. It also demonstrates the industry’s ability to demonstrate excellence in achieving real-time KYC requirements. Key benefits of Capgemini’s new pKYC sandbox include: A safe testing environment: a secure environment where new KYC processes, policies, or technologies can be tested without risking real customer data leakage or compliance failures. Best-of-breed solutions: integration of key components from best-of-breed RegTech solutions and accelerators. Real-time visualization: ability to visualize pKYC in action to gauge benefits and showcase the framework to regulators. Quantifiable business impact: rapid end-to-end testing of the tech stack and processes leading to much faster feasibility of the pKYC operating model and creation of the associated business case. Operational readiness: identifies operational bottlenecks and optimizes workflows to enable full-scale deployment with confidence.
Bottomline Paymode is a new in-app self-enrollment service for supplier payments providing enhanced remittance data and helping automate more reconciliation tasks for suppliers, earning rebates on payments they already make
Bottomline, a global leader in business payments, has introduced Paymode for Digital Banking, a new in-app self-enrollment service for supplier payments. This feature is embedded into Bottomline’s commercial Digital Banking solution, allowing bank clients to offer Paymode to their business customers in a single platform. The solution aims to digitize more payments for corporates and generate more sustainable non-interest income for banks. The Digital Banking solution, used by over 440,000 businesses, and Paymode and its network of over 550,000 vendors, provide the scale to transform how businesses pay and get paid. The solution simplifies business payments, automates reconciliation tasks, and enables payers to earn rebates on payments they already make.
Instacart introduces alcohol-focused Fizz App to tap Gen Z market- lets multiple users contribute to a single order, pay for their own purchases and have them delivered together for a flat fee of $5
Instacart is reportedly rolling out an app targeting Gen Z consumers, centered around group orders of drinks and party snacks. This app, Fizz, lets multiple users contribute to a single order, pay for their own purchases and have them delivered together for a flat fee of $5. Fizz will be complementary to Instacart, with younger users employing the app and then turning to Instacart as their “lives evolve.” The push follows Instacart’s recent move to reduce the minimum spend to $10 from $35 for paid subscribers to receive free delivery, a decision that increased engagement. Instacart began work on the app at the beginning of the year, Daniel Danker, Instacart’s chief product officer said. Merchants offering the drinks and snacks on Fizz are grocery and liquor stores with existing relationships with Instacart. Danker said Fizz will bring more retailers to Instacart.
Magento attackers left the code dormant for six years ultimately compromising between 500 and 1,000 eCommerce websites with malicious code capable of stealing payment card information and other sensitive data
Hundreds of eCommerce sites, at least one of which is owned by a $40 billion multinational company, were impacted by a supply chain attack, Sansec reported. Cybersecurity observers believe the next major wave of enterprise breaches may not come from direct attacks but rather through trusted dependencies and third parties. The attack came from a sophisticated backdoor embedded within 21 Magento extensions concealed within license verification files. The attackers left the code dormant for six years and only activated it in April, ultimately compromising between 500 and 1,000 eCommerce websites with malicious code capable of stealing payment card information and other sensitive data. The Magento incident serves as a sign of a broader evolution in cyberattacks, from quick heists to long cons. This is espionage at the code level, and the prolonged and covert infiltration of eCommerce providers serves as a reminder of the evolving tactics employed by cybercriminals and the critical importance of proactive cybersecurity measures. A breach in an eCommerce plugin can cascade into enterprise resource planning (ERP) systems, customer relationship management (CRM) platforms and payroll software. A single compromised dependency can compromise thousands of downstream systems. The problem can be exacerbated by visibility gaps. Many enterprises struggle to maintain accurate inventories of their software components. Without knowing what’s under the hood, it’s nearly impossible to detect tampering, let alone respond swiftly when a vulnerability is disclosed. This new landscape may demand a shift in mindset. Trust-based assumptions, which were once the norm in IT supply relationships, are increasingly being replaced with “zero trust” frameworks that continuously verify and monitor every component and user. Software bills of materials (SBOMs), automated code integrity checks and secure-by-design principles are no longer optional but are becoming operational necessities.
Coinbase’s x402 protocol to enable AI agents to pay for digital items automatically with stablecoins, allowing direct transactions from holder to merchant without intermediaries
Crypto exchange Coinbase has unveiled the x402 protocol to automate online payments with stablecoins, allowing direct transactions from holder to merchant without intermediaries. The protocol will be particularly useful for AI agents to pay for digital items automatically, but can serve any service requiring micropayments – essentially functioning as the online version of automated toll payments. Applications could include API usage, online content, flights, or computer resources. While designed for direct payments, various intermediaries will likely emerge to simplify the process for merchants. The key is that there is no need for an intermediary. The stablecoin payment goes directly from the holder to the merchant. That said, any number of intermediaries will pop up to make it easier for merchants. When browsing the web, if we come across a missing web page it often shows a 404 error. An error code that we never see is the 402 error, which says there’s a paywall and you need to make a payment. Coinbase is using this to build a protocol for payments to make it as seamless as sending a tweet. “We built x402 because the internet has always needed a native way to send and receive payments—and stablecoins finally make that possible,” said Erik Reppel, Head of Engineering at Coinbase Developer Platform. “Just like HTTPS secured the web, x402 could define the next era of the internet; one where value moves as freely and instantly as information. We’re laying the groundwork for an economy run not just by people, but by software—autonomous, intelligent, and always on.”