AI learning loops aren’t an engineering trick. They’re a governance issue

The incident underscores the need for transparent governance systems, highlighting the risks of centralized power and potential for corruption. The post Trump’s FIFA Peace Prize and player suspension intervention raise governance questions with crypto parallels appeared first on Crypto Briefing.

The elimination of the developer gas rebate on NEAR Protocol could enhance token scarcity, potentially boosting long-term value for investors. The post NEAR Protocol governance votes to eliminate developer gas rebate appeared first on Crypto Briefing.

The media reform in Hungary could lead to increased political instability and pressure on leadership, impacting governance and public trust. The post Hungarian public media admits misinformation, goes off air amid reforms appeared first on Crypto Briefing.

The post UK FCA Warns Banks on Autonomous AI Agents appeared on BitcoinEthereumNews.com. TLDR UK FCA warned that autonomous AI agents could transform retail financial services by automating financial decisions and transactions. The report identified tokenized money and systemic stablecoins as potential settlement infrastructure for AI-driven financial systems. Regulators proposed seven recommendations, including trusted agentic finance protocols and expansion of the FCA AI Lab. Research showed that 20% of UK adults are willing to let AI make financial decisions on their behalf. Sheldon Mills said firms must remain accountable for AI actions and stressed that a human should always bear responsibility. The UK FCA outlined a new regulatory direction as autonomous AI rapidly reshapes retail financial services. The UK FCA said AI agents could soon manage financial decisions without constant human involvement. The report also identified tokenized money and stablecoins as possible settlement

AI is getting most of the attention in enterprise technology. Governance, ownership, and data quality do most of the heavy lifting behind the scenes. And yet, as organizations move from AI experiments to production deployments, trusted context is becoming a key factor in determining whether agents create business value — or operational risk. That shift is reshaping how Salesforce, Microsoft, Snowflake, Databricks, SAP, Oracle, and others are positioning their data, governance, metadata, and integration services. The conversation is no longer just about models. It’s about whether AI systems can operate against trusted, governed, and business-relevant information. Trusted context has become the new currency, and Salesforce has made a strategic commitment to it. Agentic AI is exposing the problems master data management was designed to solve Master data management (MDM) spent much of the last decade as an important but often overlooked infrastructure. AI is changing that. Agentic systems

Data products help standardize how raw data sets, data warehouse views, and data lake logical views are combined and used to deliver analytics and AI capabilities. By developing data products, teams can streamline much of the upfront data pipelines, governance, and management needed to deliver trusted data assets that people, tools, and AI can then use for different purposes. The way you cook a meal can serve as a helpful analogy. You can choose to purchase only raw ingredients like tomatoes, wheat flour, eggs, and fresh herbs to make a favorite pasta dish. The approach works well when you have the time and skills to cook from scratch or want to prepare a nice meal for a small family. Otherwise, you may want to buy canned tomatoes, your favorite box of pasta, and a spice mix to cook the same meal, especially if you are time-constrained, are cooking for many people, or want a consistent finished product.   Like the not-from-scratch pasta meal, data products provide a similar level of ti

Indian firms are ramping up AI investment across sectors, while boards demand accountability on returns and risks. Experts say gains will bring incremental efficiencies, rather than instant breakthroughs. Meanwhile, global tech giants report surging enterprise demand in India, a key market.

South Korea has given Polymarket an opportunity to defend its operations before regulators decide whether to seek corrective action over concerns that the prediction market platform may violate the country’s gambling laws. The Broadcasting, Media and Communications Review Committee said…