# Financial Services Published articles for Financial Services. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 DevFeed: [IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-11T16:25:47Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ibm](), [Quantum Computing](), [Supercomputing](), [Cloud](), [Algorithms](), [Optimization](), [Simulation and Design](), [Hardware]() Tags: [2026](), [ai](), [algorithms](), [amd](), [chemistry](), [cloud](), [collaboration](), [core](), [enterprise](), [financial-services](), [hardware](), [hub](), [ibm](), [infrastructure](), [manufacturing](), [optimization](), [processors](), [quantum](), [quantum-computing](), [science](), [simulation](), [supercomputing]() ### AI overview IBM and Lockheed Martin are establishing a quantum innovation hub at ETH Zurich, centered on an IBM Quantum System Two planned for installation at the Swiss National Supercomputing Centre by the end of 2026. The system will use IBM's 120-qubit Nighthawk r2 processor and support research in areas including chemistry, materials science, optimization, and financial services. ### Source excerpt IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland's first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland's Federal Office for The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com. ## Figma launches data residency in Japan DevFeed: [Figma launches data residency in Japan]() Original publisher: [Read original article]() Author: Figma Published: 2026-09-11T15:25:00Z Content type: release Language: en Sources: [Figma Blog]() Topics: [Figma](), [data]() Tags: [availability](), [collaboration](), [data](), [data-management](), [enterprise](), [figma](), [financial-services](), [healthcare](), [hosting](), [japan](), [launch](), [product-development](), [public-sector](), [security]() ### AI overview Figma launches data residency in Japan, allowing enterprise customers to host Figma file data domestically. The announcement highlights data protection, security, and data management needs across sectors including the public sector, healthcare, and financial services. ### Source excerpt Figma strengthens data protection and security for enterprise customers with local data hosting. ## Honoring #IconsOfQuality: Keith Klain DevFeed: [Honoring #IconsOfQuality: Keith Klain]() Original publisher: [Read original article]() Author: Rajrupa Roychowdhury Published: 2026-09-10T11:56:43Z Content type: article Language: en Sources: [BrowserStack Blog]() Topics: [Testing](), [Artificial Intelligence](), [systems](), [Software]() Tags: [ai](), [community](), [enterprise](), [financial-services](), [icons-of-quality](), [infrastructure](), [insights](), [integration](), [keynote](), [leadership](), [operational](), [quality-engineering](), [systems](), [technology](), [testing](), [thought-leadership](), [uk]() ### AI overview BrowserStack profiles Keith Klain as an influential figure in software quality and testing. The article highlights his work in AI assurance, quality engineering, operational risk, systems thinking, and strategic enterprise transformation, along with his contributions to the testing community and thought leadership. ### Source excerpt To celebrate the relentless passion and invaluable contributions of leaders in software quality, BrowserStack is proud to honour Icons of Quality. ## Introducing ChatGPT for Financial Services DevFeed: [Introducing ChatGPT for Financial Services]() Original publisher: [Read original article]() Published: 2026-09-10T07:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [data](), [datasets](), [Model Context Protocol](), [Latency]() Tags: [chatgpt](), [data](), [datasets](), [financial-services](), [gpt](), [latency](), [mcp](), [models](), [openai](), [product](), [reasoning](), [retrieval](), [security]() ### AI overview ChatGPT for Financial Services combines GPT-6 Astra with built-in, OpenAI-hosted financial data for research, financial modeling, and client materials. It includes data-provider datasets, citations, enterprise controls, and MCP performance improvements. ### Source excerpt Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials. ## Five AI Questions We're Hearing from Financial Services Leaders DevFeed: [Five AI Questions We're Hearing from Financial Services Leaders]() Original publisher: [Read original article]() Author: Junta Nakai; Erin Butler; Roshni Joshi; Antoine Amend; Jennifer Miller; Andrea DeSosa; Rajaram Suresh; Kim Hatton; Naeem Rehman; Spencer Cook Published: 2026-09-09T18:09:29Z Content type: article Language: en Sources: [Databricks]() Topics: [Artificial Intelligence](), [databricks](), [audit trail](), [tokenization]() Tags: [2026](), [agentic-ai](), [ai](), [audit-trail](), [banking](), [compliance](), [data](), [databricks](), [financial](), [financial-services](), [governance](), [reconciliation](), [regulatory]() ### AI overview The article presents five questions that financial-services leaders are asking about trustworthy AI. It highlights governance, compliance, auditability, governed data, liquidity, reconciliation, tokenized settlement, financial-crime controls, and human oversight, with Databricks describing examples for banking operations. ### Source excerpt Last year at Sibos Frankfurt, the question was whether AI works. This year: can your... ## A practical approach to end-to-end Solvency II reporting in Databricks DevFeed: [A practical approach to end-to-end Solvency II reporting in Databricks]() Original publisher: [Read original article]() Author: Laurence Ryszka; Jack Yallop Published: 2026-09-09T16:20:00Z Content type: article Language: en Sources: [Databricks]() Topics: [databricks](), [DataOps](), [Orchestration](), [data](), [systems]() Tags: [business](), [data](), [databricks](), [eu](), [financial](), [financial-services](), [governance](), [industries](), [monitor](), [orchestration](), [platform](), [regulatory](), [solutions](), [uk](), [workflow]() ### AI overview The article presents Databricks as a governed data, orchestration, and reporting layer for end-to-end Solvency II reporting. It covers ingestion, data quality, actuarial reserving, capital calculation, QRT production, ORSA drafting, governance, approvals, and disclosure while allowing insurers to retain established actuarial and capital modeling systems. ### Source excerpt Solvency II reporting is not only a regulatory submission. It is a business process... ## OSPAR 2026 report now available with 167 services in scope DevFeed: [OSPAR 2026 report now available with 167 services in scope]() Original publisher: [Read original article]() Author: James Chang Published: 2026-09-04T18:13:04Z Content type: news Language: en Sources: [AWS Security Blog]() Topics: [Security, Privacy and Abuse Prevention](), [Cryptography]() Tags: [amazon-web-services-aws](), [announcements](), [compliance](), [cryptography](), [financial-services](), [foundational-100](), [security](), [security-blog](), [security-identity-compliance]() ### AI overview AWS completed its annual OSPAR assessment under the OSPAR 2.0 framework. The certification covers 167 AWS services in the Asia Pacific (Singapore) Region and is intended to support customer compliance due diligence. ### Source excerpt We're pleased to confirm the successful completion of our annual Amazon Web Services (AWS) Outsourced Service Provider's Audit Report (OSPAR) assessment on July 29, 2026, in line with the OSPAR version 2.0 framework. The Association of Banks in Singapore (ABS) established the Guidelines on Control Objectives and Procedures for Outsourced Service Providers (ABS Guidelines) to [...] ## X Money rollout linked to password-reset attacks DevFeed: [X Money rollout linked to password-reset attacks]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-04T12:29:41Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [passwords]() Tags: [account-takeover](), [attacks](), [breach](), [financial-services](), [how-to](), [news](), [password-reset](), [scams](), [security](), [social-engineering](), [x-money]() ### AI overview X is investigating unsolicited password-reset emails sent to users amid the wider availability of X Money. The company says it has found no evidence of a breach, successful account takeovers, or access to X Money funds. ### Source excerpt As X expands into payments, users are receiving password-reset emails they didn't request. Here's what may be happening and how to stay safe. ## How financial services companies can modernize their software supply chain DevFeed: [How financial services companies can modernize their software supply chain]() Original publisher: [Read original article]() Published: 2026-09-04T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [supply-chain-security](), [open-source-security](), [Security](), [Vulnerabilities](), [Business Security]() Tags: [cve](), [dependency](), [financial-services](), [legacy](), [security](), [software-supply-chain-security](), [vulnerabilities]() ### AI overview This article argues that financial services organizations should modernize software supply chain security while preserving business-critical systems. It explains that legacy infrastructure, regulatory obligations, and downtime concerns have encouraged deferred vulnerability remediation, but AI-assisted exploitation is making that risk increasingly dangerous. ### Source excerpt Modernize your financial software supply chain without disrupting critical systems. See how trusted open source reduces risk without major migrations. ## State divergence enables unauthorized access DevFeed: [State divergence enables unauthorized access]() Original publisher: [Read original article]() Author: "Paweł Płatek"; "Denys Pakizh" Published: 2026-08-25T11:00:00Z Content type: article Language: en Sources: [The Trail of Bits Blog](), [The Trail of Bits Blog]() Topics: [bug](), [Blockchain](), [Authorization](), [Transactions](), [SDKs]() Tags: [2026](), [access-control](), [audits](), [authorization](), [blockchain](), [bug](), [financial-services](), [module](), [tokens](), [transactions](), [vulnerabilities]() ### AI overview The article describes a Provenance Blockchain authorization bug that allowed users to grant themselves admin control over marker accounts without holding tokens. The flaw affected non-fixed-supply markers because the access check read a stale zero-valued supply field instead of the live circulating supply. The issue was mitigated in v1.28.0 and fixed in v1.29.0. ### Source excerpt We found and reported a bug in Provenance Blockchain, a public proof-of-stake chain built on Cosmos SDK, that lets any user grant themselves admin control over marker accounts without holding a single token. Provenance covers a range of financial services, including on-chain tokenized loans, private equity tokens, bridged assets, and asset registries. Our bug affected 82 markers representing live financial assets on mainnet. We found the bug, which affects versions before 1.28.0, in March 2026, and reported it to Provenance on April 1. It was mitigated in PR #2627 (commit c81fd65), which shipped in v1.28.0 on May 1, 2026, and fixed in PR #2734, which shipped in v1.29.0 on June 8, 2026. What is a marker? The marker module is Provenance's core primitive for fungible tokens. Chain participants can issue a new asset on Provenance by submitting a MsgAddMarkerRequest transaction; the chain creates a dedicated account for that asset, called a marker. Each marker is a special account type that controls: A denomination (e.g., uusd.trading, cusd.deposit, cguaranteedrateomni) An access control list governing who can mint, burn, withdraw, deposit, or administer the token A supply field recording the canonical token count An escrow balance (the marker account can hold any asset, not just its own denomination) Markers are either supply_fixed (the supply field is enforced as a hard cap) or non-fixed (the bank module is the source of truth; the supply field is informational). This distinction is central to the bug. The bug: An access check anyone can pass AddAccess is the Cosmos SDK message handler that processes requests to modify a marker's access control list. It checks whether the caller is authorized using three conditions, any one of which is sufficient: The caller is the marker's designated manager and the marker is in Finalized state. The caller already holds ACCESS_ADMIN on the marker. The caller controls 100% of the marker's circulating supply. case types.StatusFinalized, ## Mistral x HUMAIN DevFeed: [Mistral x HUMAIN]() Original publisher: [Read original article]() Published: 2026-08-24T16:02:41Z Content type: article Language: en Sources: [Mistral AI Blog]() Topics: [AI Strategy](), [AI Infrastructure](), [AI Models](), [Model Development](), [model-deployment](), [Localization (l10n)](), [datacenter](), [Cybersecurity]() Tags: [ai](), [ai-infrastructure](), [ai-platform](), [arabic](), [data](), [data-center](), [deployment](), [enterprise](), [europe](), [financial-services](), [manufacturing](), [model-development](), [public-sector](), [security]() ### AI overview Mistral and HUMAIN announce a strategic collaboration to advance sovereign AI in Saudi Arabia and across the Middle East. The initiative covers AI infrastructure, advanced model development, localized Arabic-capable models, and deployment of AI solutions for regulated industries. ### Source excerpt The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. ## GPU-Accelerated Clustering for Financial Instruments at Scale DevFeed: [GPU-Accelerated Clustering for Financial Instruments at Scale]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-08-21T16:21:04Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [GPU](), [Algorithm](), [Matrix]() Tags: [batch](), [communication](), [data-analytics-processing](), [data-science](), [financial-services](), [gb200](), [gpu](), [memory](), [nemo](), [nemotron](), [nvidia](), [post](), [scale](), [simulation-modeling-design](), [workflow]() ### AI overview A GPU-accelerated workflow uses rolling correlation and tail-dependence matrices to cluster financial instruments for portfolio construction, risk aggregation, statistical arbitrage, and trade surveillance. Its adaptive SymNMF-based solver supports soft factor loadings and hard cluster labels, while memory-efficient and distributed implementations scale from single GPUs to one million instruments across multiple nodes. ### Source excerpt Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor... ## The search multiplier: Driving revenue, productivity, and AI at scale DevFeed: [The search multiplier: Driving revenue, productivity, and AI at scale]() Original publisher: [Read original article]() Author: Nicole Volk Published: 2026-08-20T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [elasticsearch](), [AI search](), [AI Infrastructure](), [Generative AI](), [idc](), [Resilience]() Tags: [accelerate](), [agentic-ai-cloud-search-context-engineering-customer-experience-deployment-end-user-experience](), [ai](), [ai-infrastructure](), [analysis](), [business-value](), [customer-story-elasticsearch-workplace-search](), [elasticsearch](), [elasticsearch-platform](), [financial-services](), [government](), [healthcare](), [resilience](), [retail](), [retrieval](), [search]() ### AI overview An IDC study of 11 large enterprises reports that the Elasticsearch Platform, used as a search and retrieval foundation, helped organizations deliver AI products faster while improving revenue, productivity, search relevance, and operational resilience. The study reports a 517% three-year ROI, $13.4 million in annual benefits per organization, and an 11-month payback period. ### Source excerpt An independent IDC study found organizations deploying the Elasticsearch Platform for enterprise search and agentic AI deliver AI products faster, drive higher revenue, boost productivity, and strengthen operational resilience across the business. ## Axe-core at 5 billion: Accessibility meets the moment DevFeed: [Axe-core at 5 billion: Accessibility meets the moment]() Original publisher: [Read original article]() Author: Preety Kumar Published: 2026-08-18T13:02:27Z Content type: article Language: en Sources: [Deque]() Topics: [Accessibility](), [axe-core](), [Open Source](), [Artificial Intelligence]() Tags: [accessibility](), [ai](), [axe-core](), [canada](), [company-news-and-updates](), [digital-accessibility](), [digital-products](), [eaa](), [en-301-549](), [european-accessibility-act](), [financial-services](), [global](), [india](), [news](), [open-source](), [testing]() ### AI overview Axe-core has surpassed 5 billion downloads, up from 3 billion a year earlier, while daily downloads approach 10 million. The article connects this growth with accelerating global digital accessibility enforcement, including the European Accessibility Act, EN 301 549 updates, and developments in Canada, Australia, India, and South Korea. It also notes the continuing importance of open source and speculates about AI agents' role in using Axe-core. ### Source excerpt The global digital accessibility community is experiencing a time of incredible momentum and incredible urgency. From every corner of the world, we are seeing new stories emerge--regulatory expansion, technological innovation, groundbreaking legal decisions, and more. This is happening at a time when AI is dramatically reshaping what it means to create digital products, services, and experiences. The post Axe-core at 5 billion: Accessibility meets the moment appeared first on Deque. ## Agentic treasury runs on searchable, observable context DevFeed: [Agentic treasury runs on searchable, observable context]() Original publisher: [Read original article]() Author: Karen Mcdermott Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [Artificial Intelligence](), [observability](), [data](), [Latency](), [dashboards](), [Transactions](), [systems]() Tags: [agentic](), [agentic-ai](), [ai](), [banking](), [dashboards](), [data](), [elasticsearch-logs-metrics](), [erp](), [finance](), [financial-services](), [geospatial-log-analytics-metrics](), [latency](), [observability](), [payment](), [systems](), [transactions]() ### AI overview This article argues that agentic treasury depends on searchable context, observable systems, and trustworthy data rather than AI alone. It explains that treasury teams face decision latency because balances, transactions, forecasts, payment activity, liquidity positions, counterparty information, and market signals are fragmented across enterprise systems, platforms, dashboards, reports, and spreadsheets. ### Source excerpt Agentic treasury requires more than AI. It needs searchable context, observable systems, and trusted data to reduce decision latency and support confident, governed action. ## Building trusted agentic AI in financial services: From data to autonomous action DevFeed: [Building trusted agentic AI in financial services: From data to autonomous action]() Original publisher: [Read original article]() Author: Karen Mcdermott Published: 2026-08-06T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [AI Agent](), [Artificial Intelligence](), [AI Strategy](), [Generative AI](), [observability](), [data](), [Cybersecurity]() Tags: [agentic-ai](), [agentic-ai-automated-threat-protection-fraud-detection-security-compliance](), [ai](), [ai-models](), [autonomous](), [compliance](), [data](), [financial-services](), [fraud](), [observability](), [siem-security-observability](), [workflows]() ### AI overview This article explains why trusted context, governance, and observability are essential for scaling agentic AI in financial services. It contrasts generative AI's question-answering role with AI agents that investigate fraud alerts, correlate evidence, recommend actions, and initiate workflows, emphasizing the risks of autonomous decisions based on incomplete or poorly governed information. ### Source excerpt Learn why trusted context -- not just powerful AI models -- is the foundation for scaling agentic AI in financial services. Discover how unified data, observability, enterprise search, and governance enable trusted autonomous operations. ## Guide: Certificate-Based Authentication for Payment & Banking Infrastructure DevFeed: [Guide: Certificate-Based Authentication for Payment & Banking Infrastructure]() Original publisher: [Read original article]() Author: info@goteleport.com (Chris De La Garza) Published: 2026-07-31T00:00:00Z Content type: tutorial Language: en Sources: [Teleport]() Topics: [Authentication](), [Security](), [cloud-infrastructure](), [Kubernetes](), [Databases]() Tags: [authentication](), [ci-cd](), [databases](), [financial-services](), [guide](), [kubernetes](), [security]() ### AI overview This guide explains the challenges of static credentials in payment and banking infrastructure and presents certificate-based authentication as an approach for managing machine and workload identity. It covers on-premises, cloud, and Kubernetes environments, including hardware attestation. ### Source excerpt A guide to certificate-based authentication in payment infrastructure. ## Why digital accessibility is a strategic priority for HSBC DevFeed: [Why digital accessibility is a strategic priority for HSBC]() Original publisher: [Read original article]() Author: Deque Systems Published: 2026-07-28T11:03:51Z Content type: article Language: en Sources: [Deque]() Topics: [digital accessibility](), [Accessibility]() Tags: [accessibility](), [accessibility-best-practices](), [banking](), [business](), [compliance](), [customer](), [customer-trust](), [design](), [digital-accessibility](), [digital-experiences](), [digital-products](), [financial-services](), [strategy](), [web-accessibility]() ### AI overview This article explains why digital accessibility is a strategic priority for HSBC and financial-services organizations. It connects accessible online banking with customer trust, stronger relationships, more inclusive digital experiences, and long-term business value. ### Source excerpt Mali Fernando, Group Head of Digital Experience and Accessibility at HSBC, discusses the role of digital accessibility in creating better banking experiences, strengthening customer relationships, and supporting long-term business success. The post Why digital accessibility is a strategic priority for HSBC appeared first on Deque. ## From pilot to production: The platform team's playbook for scaling AI coding agents in regulated industries DevFeed: [From pilot to production: The platform team's playbook for scaling AI coding agents in regulated industries]() Original publisher: [Read original article]() Author: Eric Paulsen Published: 2026-07-24T11:13:47Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [AI-assisted coding](), [ai-governance](), [observability](), [shadow AI](), [Deployment](), [coding]() Tags: [ai-adoption](), [ai-coding-agents](), [ai-governance](), [developers](), [financial-services](), [government](), [observability](), [shadow-ai]() ### AI overview This article presents a platform-team playbook for scaling AI coding agents from pilots to governed production in regulated industries. It emphasizes governance, observability, production infrastructure, and controls that provide visibility into agent actions, model usage, data access, token consumption, and costs. ### Source excerpt Scaling AI coding agents in regulated industries requires more than just successful pilots; it demands robust governance and production-ready infrastructure. Discover how platform teams can bridge the gap between experimentation and compliance by implementing observability, structured context engineering, and ephemeral workspace patterns to ensure safe, scalable AI adoption. ## AI coding agents: A focused look at financial services and government DevFeed: [AI coding agents: A focused look at financial services and government]() Original publisher: [Read original article]() Author: Eric Paulsen Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [AI Agent](), [Platform Engineering](), [AI-assisted coding](), [GitHub Copilot](), [cursor](), [pull-requests]() Tags: [agents](), [ai](), [ai-coding-agents](), [coding-agents](), [compliance](), [financial-services](), [governance](), [government](), [platform-engineering](), [pull-requests]() ### AI overview This article explains the governance and infrastructure changes needed to operationalize autonomous AI coding agents in regulated financial services and government environments. It describes the risks of agents executing multi-step workflows without human intervention and argues that workspace-level controls must replace reliance on application-tier governance. ### Source excerpt The shift to autonomous AI coding agents is a liability risk in financial services and government. Discover why workspace-level governance is essential for compliance and safe operationalization ## Replacing the HDB: ClickHouse for historical ticker data DevFeed: [Replacing the HDB: ClickHouse for historical ticker data]() Original publisher: [Read original article]() Author: Mark Needham Published: 2026-07-15T18:08:16Z Content type: tutorial Language: en Sources: [ClickHouse Blog]() Topics: [Database](), [data]() Tags: [clickhouse](), [compression](), [cost](), [data](), [database](), [financial-services](), [latency](), [real-time](), [research](), [sql](), [storage]() ### AI overview A hands-on article on using ClickHouse as a historical market-data database. It loads Binance tick data and explains columnar storage, compression, and SQL queries for trading-desk analysis. ### Source excerpt A hands-on walkthrough of loading billions of Binance tick records into ClickHouse, showing how columnar storage and codecs compress trade and quote data 19x, and how standard SQL handles VWAP, OHLC candles, and as-of joins at millisecond granularity. ## Synthetic Data Generation for Financial AI Research with NVIDIA NeMo DevFeed: [Synthetic Data Generation for Financial AI Research with NVIDIA NeMo]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-07-09T19:40:37Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Synthetic Data Generation](), [synthetic-data](), [Large Language Model](), [Fine-tuning](), [Natural language processing](), [Nemotron](), [vllm](), [datasets]() Tags: [agentic-ai-generative-ai](), [ai](), [ai-agent](), [ai-ready-data](), [cloud-services](), [compute](), [data](), [data-science](), [featured](), [financial-services](), [fine-tuning](), [generation](), [hardware](), [inference](), [llms](), [models](), [natural-language-processing](), [nemo](), [nemotron](), [nvidia](), [research](), [structured-generation](), [synthetic](), [synthetic-data](), [synthetic-data-generation](), [vllm](), [workflow]() ### AI overview This developer article presents an iterative pipeline for generating a diverse synthetic dataset of more than 500,000 financial news headlines. It combines NeMo Data Designer for structured generation, NeMo Curator for semantic deduplication, Nemotron models for synthesis, and a farthest-from-centroid few-shot strategy to reduce repetition and correct category imbalance. ### Source excerpt Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings... ## Mobile App Security in the Age of SoftPOS | Guardsquare DevFeed: [Mobile App Security in the Age of SoftPOS | Guardsquare]() Original publisher: [Read original article]() Author: Guardsquare Published: 2026-07-07T11:42:02Z Content type: article Language: en Sources: [Guardsquare Blog]() Topics: [Mobile](), [Mobile Security](), [Security](), [App](), [API](), [Exploit](), [SDKs](), [Malware]() Tags: [android](), [api](), [compliance](), [credentials](), [devices](), [exploit](), [financial-services](), [integrity](), [ios](), [malware](), [mobile](), [payment](), [payments](), [pos](), [protection](), [sdks](), [security](), [smartphone](), [thought-leadership]() ### AI overview This article examines the security implications of SoftPOS, which turns smartphones into card-present payment terminals. It explains that moving payment functions to mobile devices shifts responsibility to the device, operating system, application integrity, APIs, and runtime environment, and discusses threats including app tampering, reverse engineering, API abuse, credential theft, malware, and bypassed environment checks. ### Source excerpt As retailers look for faster, more flexible ways to accept payments, SoftPOS is becoming a cornerstone of modern payment strategies. It's expected that by 2027, more than 34.5 million merchants will accept payments through SoftPOS technology. The ability to turn any smartphone into a card-present terminal reduces hardware costs, simplifies onboarding, and supports new use cases like curbside, pop-up stores, and in-aisle checkout. ## MUFG aims to become AI-native with OpenAI DevFeed: [MUFG aims to become AI-native with OpenAI]() Original publisher: [Read original article]() Published: 2026-07-07T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [OpenAI](), [Artificial Intelligence](), [AI Strategy](), [AI Chat](), [Security]() Tags: [ai](), [artificial-intelligence](), [banking](), [chatgpt](), [customer-service](), [efficiency](), [enablement](), [enterprise](), [financial-services](), [innovation](), [japan](), [openai](), [operations](), [partner](), [scale](), [security](), [systems](), [technology](), [workflows]() ### AI overview MUFG is working with OpenAI to become an AI-native financial group. It has begun rolling out ChatGPT Enterprise to approximately 35,000 Mitsubishi UFJ Bank employees, combining secure enterprise use, workflow transformation, employee enablement, and new AI-powered customer experiences. ### Source excerpt MUFG uses ChatGPT Enterprise to build an AI-native organization, improve workflows, and deliver new AI-powered financial services at scale. [Next page]()