Apple has made the smallest update to Visual Intelligence in iOS 26, and yet the impact of being able to use it on any image is huge, and at least doubles the usefulness of this one feature. Visual Intelligence involved pointing your iPhone camera at whatever you were interested in. What Apple has done with iOS 26 is take that step away. Everything else is the same, but you no longer have to use your camera. You can instead deploy Visual Intelligence on anything on your iPhone’s screen. This one thing means that researchers can find out more about objects they see on websites. And shoppers can freeze frame a YouTube video and use Visual Intelligence to track down the bag that influencer is wearing. There is an issue that this means there are now two different ways to use Visual Intelligence, and they involve you having to do two different things to start them. The new version is an extra part of Visual Intelligence, not a replacement. Visual Intelligence is replete with different ways to use it, one of which provides a very different service to the rest. Yet being able to identify just about anything on your screen is a huge boon. And consequently Apple increased the usefulness of Visual Intelligence just by not requiring the step where you point your iPhone camera at anything.
New Gemini 2.5 models can process problems more deliberately before responding by spending additional computational resources working through complex problems step-by-step, making them cost-effective for high-throughput enterprise tasks like large-scale document summarization
Google has announced that its most powerful Gemini 2.5 models are ready for enterprise production while unveiling a new ultra-efficient variant designed to undercut competitors on cost and speed. The announcements represent Google’s most assertive challenge yet to OpenAI’s market leadership Two of its flagship AI models—Gemini 2.5 Pro and Gemini 2.5 Flash— are now generally available, signaling the company’s confidence that the technology can handle mission-critical business applications. Google simultaneously introduced Gemini 2.5 Flash-Lite, positioning it as the most cost-effective option in its model lineup for high-volume tasks. What distinguishes Google’s approach is its emphasis on “reasoning” or “thinking” capabilities — a technical architecture that allows models to process problems more deliberately before responding. Unlike traditional language models that generate responses immediately, Gemini 2.5 models can spend additional computational resources working through complex problems step-by-step. This “thinking budget” gives developers unprecedented control over AI behavior. They can instruct models to think longer for complex reasoning tasks or respond quickly for simple queries, optimizing both accuracy and cost. The feature addresses a critical enterprise need: predictable AI behavior that can be tuned for specific business requirements. Gemini 2.5 Pro, positioned as Google’s most capable model, excels at complex reasoning, advanced code generation, and multimodal understanding. Gemini 2.5 Flash strikes a balance between capability and efficiency, designed for high-throughput enterprise tasks like large-scale document summarization and responsive chat applications. The newly introduced Flash-Lite variant sacrifices some intelligence for dramatic cost savings, targeting use cases like classification and translation where speed and volume matter more than sophisticated reasoning.
Early Warning is partnering with Fiserv to expand Apple Pay rival Paze wallet nationwide, beyond the immediate distribution channels provided by its seven owner banks
Early Warnings Services wants a quick route to expand its Apple Pay rival Paze digital wallet by turning to the financial technology industry’s massive distribution networks. Early Warning, which operates the popular Zelle transfer app and the newer Paze digital waller, said this afternoon that it is partnering with bank technology company Fiserv to expand Paze wallet beyond the immediate distribution channels provided by its seven owner banks. Bank of America, Capital One, JPMorganChase, PNC, Truist, US Bank and Wells Fargo own Early Warning. “To get to scale and to get to 100% [market penetration] we have to expand outside of our owner footprint from a merchant services standpoint, and partner with companies that support merchants,” Eric Hoffman, Chief Partnerships Officer at Early Warning Services, told. Early Warning is hoping to take a page from the Zelle playbook as it expands beyond its owner-bank ecosystem. The partnership will enable Fiserv’s enterprise and small business clients to offer and accept the Paze digital wallet. Early Warning is currently working with Fiserv to onboard a handful of enterprise merchants before the holiday shopping season, Hoffman said, but acknowledged that many large merchants have long implementation roadmaps that cause the process to take longer than expected. “Paze isn’t going to scale overnight,” he said. “Strategic partnerships with companies like Fiserv [are] a long term project. To get to critical scale, it’s going to take more than 2025.” Early Warning is also looking to roll out Paze on Fiserv’s small business payments platform Clover before the end of the year. “That one is a little bit more straightforward, because they use a hosted pay page, which means that there’s a standardization of the payment types that all merchants accept,” Hoffman said. “Once they add Paze, then that portfolio will be mass enabled to tens of thousands of merchants.” Early Warning’s owner banks make up four of the five largest credit card issuers in the country – all of which are automatically enabled with Paze at issuance. And six out of the seven have merchant acquiring business lines, giving Early Warning a solid base to stand up its own e-commerce wallet. Still, Early Warning hopes to add more issuers to Paze, Hoffman said. “We plan on seeing five additional issuers from Fiserv supporting Paze this year.” Solving for merchant acceptance is a “necessary step” for widespread adoption of any new payment method, said Aaron Press, a senior research analyst at IDC. “The way they’re going to solve for the acceptance side is to make it available within the checkout pages that are controlled by the platforms and the acquirers,” Press told. This is the second such distribution partnership that Paze entered in June. Earlier this month, Early Warning inked a deal with Worldpay to bring its checkout option to Worldpay merchants. Early Warning was also working with GoDaddy in 2023 to help drive e-commerce adoption. But Paze’s new distribution partnerships could be too-little-too-late in a market that is currently being reshaped by agentic payments, said Richard Crone, CEO and founder of Crone Consulting. “Paze is still walking a cow path — this is a non-event without the support of major e-commerce merchants,” Crone told American Banker. “The biggest ecommerce retailers focused on agentic payments — they’re racing to prepare for disintermediation from AI-powered shopping, where checkout is collapsed into intent outside the retailer’s own branded platforms.
JPMorgan sees deposit tokens like JPMD as a more scalable and compliant alternative to stablecoins; plans to pilot JPMD on Coinbase-linked blockchain
JPMorgan Chase & Co. is launching a pilot for JPMD, a token representing dollar deposits, which will be transferred to Coinbase via the public blockchain Base. “It’s the first time that a commercial bank is putting commercial money, a deposit-based product, on a public chain and we are starting with Base,” said Naveen Mallela, global co-head of JPMorgan’s blockchain division, Kinexys. The token, denominated in dollars, will initially be available to institutional clients, with future expansion to other users and currencies pending regulatory approval. JPMorgan sees deposit tokens like JPMD as a more scalable and compliant alternative to stablecoins. “From an institutional standpoint, deposit tokens are a superior alternative to stablecoins,” Mallela said, citing potential advantages such as interest-bearing features and deposit insurance. The initiative supports JPMorgan’s broader blockchain push, building on its Kinexys Digital Payments network, which processes over $2 billion daily. Mallela noted, “We think it is more scalable.” The pilot also enhances Base, Coinbase’s public blockchain built on Ethereum, which has grown rapidly due to low fees and fast transaction speeds. The move reflects easing regulatory stances under the Trump administration and a growing trend among major banks like Santander and Deutsche Bank to explore digital assets.
JPMorganChase chief data officer prioritizes modernizing the group’s data so that it can be published in a way that is consistent and understandable by LLMs
Mark Birkhead, firmwide chief data officer of JPMorganChase, said the bank is focused on a multi-year effort to pull humans out of the cycle for fixing data. In 2024 the bank set up a firmwide chief data and analytics office so that all its data initiatives were under one umbrella, led by Teresa Heitsenrether, chief data and analytics officer. She reports to chairman and chief executive, Jamie Dimon, and is part of the operating committee. Birkhead’s role as chief data officer is to oversee the team that sets the central data strategy for the firm in partnership with the business. Birkhead explained that the bank operates in almost 100 countries and across its consumer businesses, investment banking, asset and wealth management and payments. As a result, more than an exabyte of data moves across the firm in any day in many forms , including structured and unstructured data, voice and video files. An exabyte of data is so large that it has been estimated that all the words ever spoken or written by humans in every language since the beginning of mankind would fit on five exabytes. “Our data strategy centers on how we can best deliver all types of data assets and curate them in a way that is discoverable, highly accurate, and highly governed and controlled,” added Birkhead. “That last part is really critical for us as a bank because our customers count on us to keep their information private.” The group has built many data governance systems to ensure data risks are managed to respect privacy and is now investing in bringing them together into a central platform. A critical focus is modernizing the group’s data so that it can be published in a way that is consistent and understandable by large language models (LLMs) used in artificial intelligence and generative AI models. JPMorgan Chase has created an LLM Suite, which provides employees with access to LLM models. There are currently 200,000 users on LLM Suite, according to Birkhead. He continued that the bank is “particularly excited” about AI agents systems with more reasoning capabilities. Another focus is launching more data products and ensuring they are interchangeable, interoperable, and reusable. The final focus is ensuring that data is available in milliseconds.
The passage of the GENIUS Act in Senate removes a major barrier to entry — legal risk — and adds institutional-grade legitimacy to stablecoins and crypto generally
The U.S. Senate approved the GENIUS Act — landmark stablecoin legislation — with a 68–30 vote, moving it closer to President Trump’s goal of signing it before the August recess. With the GENIUS Act, we’re bringing clarity to a sector that’s been clouded by uncertainty and proving that bipartisan, principled leadership can still deliver real results for the American people,” said U.S. Senate Banking Committee Chairman Tim Scott, R-S.C. Still, before reaching Trump’s desk, the bill must clear the House, where the August recess begins in around 50 days. But the political theater surrounding what could be the passage of the first-ever crypto framework in the U.S, the global implications for dollar-backed digital currencies and the growing institutional embrace of blockchain infrastructure tell a much larger story about rewriting the architecture of money itself. The momentum behind the GENIUS Act is increasingly being taken as a sign of approval by the broader crypto and traditional financial spaces. The stablecoin issuer Circle, for example, has gone public on the NYSE, while corporate interest in stablecoins is no longer theoretical. Major financial institutions including Bank of America (BofA), Wells Fargo and Citigroup are exploring the launch of a jointly operated stablecoin. JPMorgan announced that it is planning to offer its own stablecoin, JPMD. “Everybody’s jumping into stablecoins right now,” Brett McLain, head of payments and blockchain at Kraken, told. “All the big banks, they’re talking about creating their own; others want to leverage existing ones. Retail giants like Walmart and Amazon are exploring embedded payments powered by stablecoins. And global banks from Société Générale to Banco Santander are experimenting with cross-border liquidity management using on-chain dollar tokens. The passage of the GENIUS Act removes a major barrier to entry — legal risk — and adds institutional-grade legitimacy to what was once a speculative fringe technology.
Klarna offers mobile phone plans in U.S to deliver “a seamlessly integrated mobile experience that bundles premium connectivity with financial tools”
Klarna is the latest financial services provider to enter the mobile market, working with Telecom-as-a-Service platform Gigs to launch a phone plan in a host of major markets, beginning with the US. BNPL giant Klarna is offering its 25 million active users in the US a single plan, including uncapped, unlimited 5G data, talk, and text for $40 a month, with coverage on the AT&T network. Citing research showing that half of Americans believe switching phone plans is too difficult, Klarna says its users can transfer their existing number, or get a new one, and activate their phone plan in a few taps within the Klarna app, without any phone calls, paperwork, or store visits. Premium and international plans will roll out later this year, as well as services in the UK, Germany, and other markets. Sebastian Siemiatkowski, CEO, Klarna, says: “Klarna has saved consumers time and money, and reduced financial worry for over 20 years. With mobile plans we’re taking that one step further, as we continue to build our neobank offering.” Hermann Frank, CEO, Gigs, adds: “Now, consumers can expect a seamlessly integrated mobile experience that bundles premium connectivity with financial tools, all through the apps they already know and love.” Klarna is following in the footsteps of German neobank N26 and Revolut, who have each dipped a toe into the water with their own phone plans for subscribers.
TD Bank’s automation drive helps it rise up the US league tables in investment grade corporate bond transactions on MarketAxess
TD is winning more Wall Street business trading bonds, and doing it with fewer people. The Canadian bank has built up a computer-driven trading team over the past few years that has helped it rise up the US league tables in investment grade corporate bond transactions on the biggest venue for electronic bond trading, MarketAxess Holdings Inc. The bank rose from 20th in 2021, to 9th last year and 6th so far this year — leapfrogging bigger banks like JPMorgan Chase & Co. and Citigroup Inc. in total number of trades — and it is now at the top of the tables for municipal bond trading. To do this, it has doubled its automation team in the last four years and poached automation experts from rivals like JPMorgan. But the algorithmic trading has allowed it to shed even more employees from the ranks of old-school voice traders who used to dominate the fixed income world from their phones, according to the co-heads of TD Securities Automated Trading, Marty Mannion and Matt Schrager. The changes at TD offer a window into the automation that is sweeping the fixed income industry more broadly and making jobs redundant across Wall Street. Last year, 48% of US investment-grade bonds traded electronically, up from 34% in 2021, according to Crisil Coalition Greenwich. Schrager and Mannion declined to offer a specific number of jobs that have been reduced and said that humans continue to be a necessary part of their operation, in part to oversee the computers and in part to handle trades that are large or require the discretion that a phone conversation can offer. But they estimate that more than 90% of transactions will eventually be automated. TD’s efforts to take advantage of this are a central part of the bank’s ambitions to join the big leagues on Wall Street. The push is particularly important for TD because it is trying to recover from one of the worst money-laundering scandals in US banking history, which led to a $3.1 billion fine and a cap on the size of its US retail banking business.
iOS 26 update allows users to deploy Visual Intelligence on anything on their iPhone’s screen, without requiring them to point the iPhone camera at anything
Apple has made the smallest update to Visual Intelligence in iOS 26, and yet the impact of being able to use it on any image is huge, and at least doubles the usefulness of this one feature. Visual Intelligence involved pointing your iPhone camera at whatever you were interested in. What Apple has done with iOS 26 is take that step away. Everything else is the same, but you no longer have to use your camera. You can instead deploy Visual Intelligence on anything on your iPhone’s screen. This one thing means that researchers can find out more about objects they see on websites. And shoppers can freeze frame a YouTube video and use Visual Intelligence to track down the bag that influencer is wearing. There is an issue that this means there are now two different ways to use Visual Intelligence, and they involve you having to do two different things to start them. The new version is an extra part of Visual Intelligence, not a replacement. Visual Intelligence is replete with different ways to use it, one of which provides a very different service to the rest. Yet being able to identify just about anything on your screen is a huge boon. And consequently Apple increased the usefulness of Visual Intelligence just by not requiring the step where you point your iPhone camera at anything.
1Password’s secrets syncing integration with AWS allows organizations to consolidate secrets management and embed secure credential handling directly into AI development workflows and CI pipelines
1Password announced a strategic collaboration agreement with AWS that puts the firm in position to capitalize on surging enterprise demand for security tools designed for AI and cloud-native environments. Monica Jain, 1Password’s head of go-to-market partnerships, told that the AWS collaboration has delivered explosive growth over the past 18 months. Contracts sold through AWS average four times larger than typical deals, with win rates exceeding 50 percent across all customer segments from small businesses to large enterprises. As part of the expanded partnership, 1Password introduced a new secrets syncing integration with AWS Secrets Manager. The integration allows organizations to consolidate secrets management, enforce role-based access controls, and embed secure credential handling directly into development workflows including command-line interfaces, continuous integration pipelines, and AI-powered automation. The technical integration addresses a critical pain point for developers who traditionally have struggled to manage secrets securely without slowing down development velocity. By embedding secure access directly into existing workflows, the platform eliminates the trade-off between security and productivity that has plagued many organizations. 1Password now secures more than 165,000 businesses and millions of consumers, with 75 percent of revenue coming from business customers compared to just 25 percent from consumers — a dramatic shift from the company’s consumer origins. The AWS partnership accelerates 1Password’s evolution from a password manager into what the company calls an Extended Access Management platform. This new category addresses security gaps that traditional identity and access management, identity governance and administration, and mobile device management tools cannot reach.
