Latest publications
ISACA: most companies are not ready to quickly shut down an AI system during an incident
ISACA found that 59% of respondents in Europe do not know how quickly they could shut down an AI system in the event of a failure or attack, and fewer than half are confident they could later explain the causes of the in
Bobyard introduces 2.0 for estimators with faster quantity takeoff and a unified AI workspace
Bobyard 2.0 speeds up quantity takeoff from drawings, brings AI tools together in a single workspace, and helps contractors prepare estimates faster without exporting data to Excel.
AI in law firms: from rejection to real implementation — three phases according to Olivier Shadyuto
Consultant Olivier Shadyuto outlined three phases of AI adoption in law: from skepticism, through showcase license purchases, to real use, which is starting right now.
Binance and AI models: how real-time data helps read the crypto market
Streams of prices, transactions, and market signals make the crypto market well suited to AI: models spot shifts faster, but run into noise, data bias, and infrastructure requirements.
E.SUN Bank and IBM create an AI governance system for safe AI deployment at the bank
E.SUN Bank, together with IBM, is developing an AI governance framework for the bank: the goal is to establish rules, risk controls, and transparency for the use of AI in lending, anti-fraud, and customer service.
Goldman Sachs: AI investment shifts from hype to data centers and infrastructure
Goldman Sachs believes the AI market is entering a more selective phase: investor money and attention are increasingly moving away from AI applications and toward data centers, energy, and network infrastructure.
Mastercard created a tabular foundation model to combat payment fraud
Mastercard trained a large tabular model on billions of card transactions to detect fraud more accurately, reduce false positives, and expand payment protection.
NVIDIA released Agent Toolkit for secure deployment of enterprise AI agents
At GTC 2026, NVIDIA introduced the open source Agent Toolkit stack with OpenShell and AI-Q so companies can run AI agents with access, privacy, and cost controls.
Visa prepares payment infrastructure for transactions initiated by AI agents
Visa launched the Agentic Ready program in Europe so banks can test how to securely process purchases that AI agents initiate under user-defined rules.
LG and NVIDIA discuss physical AI: robots, data centers, and mobility
LG CEO Ryu Je-chol met with NVIDIA's director of Omniverse and Robotics in Seoul — talks show what infrastructure is needed to deploy physical AI in the real world.
Australia's APRA regulator warns banks of gaps in AI-agent oversight
Australia's APRA regulator has warned banks and pension funds: AI-agents are already being integrated into client and internal processes, but oversight, audit, and accountability for their decisions remain lagging.
API, MCP and MCP Gateways: Distinguishing Interfaces and Protocols for AI Systems
API and MCP are often mentioned together, but they represent different levels of integration: one connects applications, the other helps AI models work with data and tools, while MCP Gateway simplifies access management.
Utimaco: Protecting AI Systems Requires Transition to Post-Quantum Cryptography
Utimaco warns: the main barrier to AI deployment on corporate data is not models, but security. Migration to post-quantum protection must begin now.
Ocorian: 86% of family offices already use AI for financial data analysis
A global Ocorian study shows that 86% of family offices already apply AI in daily operations and data analysis to quickly obtain financial insights and make decisions.
RPA Still Matters: How AI Is Changing Companies' Approach to Business Automation
RPA remains the foundation for automating repetitive tasks, but AI adds what it lacked: handling documents, text, exceptions, and more flexible process logic.
How AI Tools for Forex Are Tested for Accuracy and Why Backtests Are Not Enough
AI services for the forex market often shine in backtests, but in live trading, everything is decided by metrics, data quality, execution delays, and risk management.
JPMorgan starts factoring ChatGPT and Claude usage into engineer evaluations
JPMorgan is shifting AI-tool usage from optional to standard practice: roughly 65,000 engineers are expected to use them regularly, and managers track activity.
Glia Wins AI Excellence Awards for Safe AI Implementation in Banking
Glia won the AI Excellence Awards 2026 in the banking services category: the jury recognized its approach to practical and more secure AI use in customer communications.
OpenAI releases GPT-5.5: agentic model stronger than GPT-5.4, but API pricing doubled
OpenAI introduced GPT-5.5 as a model for real-world work and AI agents: it handles multi-step tasks better, but API pricing is twice as high as GPT-5.4.
IDC: EMEA CIOs Need to Rebuild Data and ROI Models to Move AI to Production
IDC believes that enterprise AI projects in EMEA are not stalled due to lack of interest, but rather due to unclear ROI, poor data preparation, and high costs of transitioning from pilot to production.
Lightelligence soars 400% after Hong Kong IPO: betting on optical interconnect for AI
Lightelligence shares nearly quadrupled on the first day of trading in Hong Kong: investors are betting that the bottleneck in AI infrastructure won't be chips, but the connections between them.
Kakao Mobility Reveals Level 4 Autonomous Driving Roadmap and Physical AI Strategy
Kakao Mobility plans to develop Level 4 autopilot in-house, build a safety platform, and prepare open datasets, maps, and APIs for the autonomous transportation market.
Encoders in AI: How They Evolved from Simple Schemes to Multimodal Systems
Encoders have come a long way from simple data-to-numbers conversion to systems that understand context, images, and text simultaneously — and that's what drives modern AI.
IBM Launches Bob Platform for Cost Control and Enterprise SDLC Management
IBM introduced Bob — an AI platform for enterprise development that helps keep costs under control for SDLC, modernization, security, and compliance requirements without losing speed.
China Approved Five-Year Plan Until 2030 with Goals for Mass AI Deployment
Beijing included AI among the key priorities of the 15th Five-Year Plan: from models and chips to government services, medicine and industry, with a horizon until 2030.
Hyundai expands its bet on robotics and physical AI for industry
Hyundai accelerates its transition from automaker to robotics and physical AI systems provider, betting on factory automation, the US market, and humans working alongside machines.
Scotiabank launches Scotia Intelligence to embed AI into daily bank operations
Scotiabank launched Scotia Intelligence — a unified environment for data and AI to safely provide employees with access to new tools and accelerate AI adoption in the bank.
Stanford HAI Report: US-China AI Gap Nearly Closed, Safety Lags Behind
Stanford HAI's AI Index 2026 shows the US no longer maintains a sustainable advantage over China in AI models, while transparency and safety verification significantly lag behind the pace of competition.
OpenAI adds sandbox execution to Agents SDK for control and secure AI agent execution
OpenAI integrated a native sandbox in Agents SDK for isolated agent workflow execution: it simplifies enterprise control, reduces data leak risk, and helps move prototypes to production.
Google warns about attacks on corporate AI agents via web pages
Google reported that public websites increasingly hide hidden instructions in HTML that can redirect corporate AI agents, steal data, and disrupt their operations.