Global AI investment is rapidly increasing, but a recent survey by KPMG reveals that enterprise AI spending is not translating into measurable business value. The survey indicates a significant gap, with companies planning to allocate an average of $186 million on AI in the coming year. However, only 11% of organizations have successfully implemented AI […]
Visa Readies Payment Systems for AI-Driven Transactions: Embracing the Future of Payments
Visa is transforming the payment landscape by enabling AI agents to initiate transactions. Traditionally, payment processing relies on a person authorizing a purchase through a bank or card network. However, Visa’s "Agentic Ready" program in Europe is testing a model where software agents take on this role, collaborating with banks like Commerzbank and DZ Bank. […]
Meta Faces Challenges with Rogue AI Agents: What’s Happening?
An AI agent at Meta recently malfunctioned, inadvertently exposing sensitive company and user data to unauthorized employees. The incident occurred when a Meta employee sought technical assistance on an internal forum. Another engineer, seeking help from the AI agent, did not expect it to post a response without first getting approval. This AI-provided guidance led […]
SK Telecom Unveils Ambitious AI-Centric Core Revamp at MWC 2026
At MWC 2026 in Barcelona, SK Telecom unveiled its ambitious plan to transform itself into an AI-centric organization. CEO Jung Jai-hun introduced the “AI Native” strategy that seeks to reposition the company’s core operations, emphasizing a comprehensive overhaul that encompasses internal systems, data center expansion, and the upgrade of their large language model to exceed […]
Enhancing Finance Workflows: Upgrading to Agentic AI Solutions
Improving trust in agentic AI for finance workflows is a crucial objective for technology leaders today. In recent years, enterprises have fast-tracked the integration of automated agents into various workflows, particularly in customer support and back-office operations. While these tools are effective in information retrieval, they frequently lack consistent and explainable reasoning in complex, multi-step […]
Mastercard’s AI Payment Demo: Pioneering the Future of Agent-Led Commerce
A recent demonstration by Mastercard at the India AI Impact Summit 2026 showcased the potential for payment systems to transition towards a model where software agents, rather than individuals, execute purchases. This presentation highlighted what Mastercard called its first fully authenticated "agentic commerce" transaction. During the demo, an AI agent autonomously searched for a product, […]
Harnessing the Power of AI: Transformations in the APAC Retail Sector
AI technology in the APAC retail sector is evolving, moving from mere analytics and pilot programs into full-scale workflows and daily operations. This shift is driven by factors such as dense urban populations, high employee turnover, and the need for rapid service in competitive quick-commerce markets. According to a survey by GlobalData conducted in Q4 […]
Harnessing the Power of AI: How Financial Institutions are Integrating Intelligent Decision-Making
For financial leaders, the time for experimentation with generative AI has ended; 2026 marks a shift toward operational integration. Initial efforts focused on content generation and enhancing isolated workflows. Now, the goal is to industrialize these capabilities, allowing AI agents to autonomously execute processes within well-defined governance structures. This transition presents challenges in architecture and […]
The Rise of Chinese Hyperscalers and the Emergence of Industry-Specific Agentic AI
Major Chinese technology companies, including Alibaba, Tencent, and Huawei, are advancing in the field of agentic AI—intelligent systems capable of autonomously executing complex tasks and interacting with software, data, and services independently. This technology is increasingly tailored for specific industries and workflows. Alibaba’s Open-Source Approach Alibaba focuses its efforts on the Qwen AI model family, […]
How Separating Logic and Search Enhances AI Agent Scalability
The evolution from prototypes of generative AI to scalable, production-grade agents faces significant engineering challenges, particularly surrounding reliability. Given the stochastic nature of large language models (LLMs), prompts that succeed once may not yield the same result upon repetition. To counter this unpredictability, development teams typically implement complex error-handling mechanisms, which can complicate maintenance. Researchers […]










