Coinbase has recently introduced "Coinbase for Agents," a groundbreaking platform that leverages AI to automate trading and financial transactions directly from users’ portfolios. While large language models excel at processing vast amounts of data, they typically lack the capability to execute transactions autonomously. Coinbase for Agents changes this by allowing users to program automated digital […]
Revolutionizing Retail: Visa’s ChatGPT Integration for Seamless AI-Powered Shopping Experiences
Visa has integrated its payment infrastructure with ChatGPT, enabling AI agents to assist with retail purchases and execute financial transactions autonomously. This integration is a significant shift, allowing users to bypass the traditional stages of the retail funnel as AI agents can now process prompts, evaluate merchant catalogs, and complete purchases using Visa’s systems across […]
Unlocking Profit Margins: The Role of Enterprise AI Governance in SAP
According to SAP, enterprise AI governance is crucial for maintaining profit margins by transitioning from reliance on statistical estimates to deterministic control. Manos Raptopoulos, Global President of Customer Success for SAP in Europe, APAC, and Middle East & Africa, highlights the critical distinction between 90% and 100% accuracy. He points out that in today’s digital […]
The Importance of Interaction Infrastructure for AI Agents
To address the challenges posed by automation waste, it is crucial for enterprises to establish a dedicated interaction infrastructure to govern the behavior of independent AI agents. These agents are now prevalent in corporate networks, performing tasks and making decisions with increasing autonomy. However, when these agents need to work together, share context, or navigate […]
OpenAI Enhances Agents SDK for Safer and More Powerful Enterprise Solutions
OpenAI has made significant updates to its Agents SDK, aiming to equip enterprises with tools to create advanced automated agents. This update comes at a time when agentic AI is gaining traction, with OpenAI and other companies like Anthropic competing in this space. The newly enhanced SDK introduces features that allow businesses to develop agents […]
Unlocking Profitability: KPMG’s AI Agent Playbook for Boosting Enterprise Margins
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 […]
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 […]
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 […]
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 […]










