Artificial intelligence (AI) is increasingly becoming integral to corporate strategies, especially within the banking sector. A notable example is JPMorgan Chase, which anticipates its technology budget to soar to approximately $19.8 billion by 2026, marking a significant investment in AI as a core component of their operations. This increase in spending mirrors a broader trend […]
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 […]
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 […]
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 […]
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 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 […]
Klarna has announced its support for Google’s Universal Commerce Protocol (UCP), a move aimed at addressing the current challenges of interoperability between conversational AI agents and backend payment systems. This partnership positions Klarna as one of the early adopters of a standardized framework for automated shopping, which will allow AI agents to perform transactions more […]
Corporate networks are increasingly populated with AI agents, leading to significant governance challenges for leaders overseeing multi-cloud infrastructures. As various business units quickly embrace generative technologies, CIOs find their ecosystems cluttered with fragmented and inadequately monitored assets, reminiscent of the shadow IT complications that arose during the cloud era. The emerging issue highlights the presence […]
AI cost efficiency and data sovereignty are currently at odds, prompting corporations to reassess their enterprise risk frameworks in light of evolving geopolitical realities. For over a year, discussions around generative AI have been primarily focused on enhancing capabilities, often evaluated through parameter counts and questionable benchmark scores. However, conversations in corporate boardrooms are shifting […]
Scaling AI value from isolated pilots to enterprise-wide adoption remains a primary hurdle for many organisations. Despite the widespread experimentation with generative models, the practical implementation of these tools into existing governance and integration layers often faces significant delays. IBM is responding to this challenge by introducing a new service model aimed at helping businesses […]