Home Artificial Intelligence Page 4

Artificial Intelligence

    Artificial Intelligence news: AI aims the goal of interpreting, use and learn from data. Machine learning, data mining and deep learning are its tools.

    Artificial Intelligence and machine learning in credit risk assessment

    Artificial Intelligence and machine learning in credit risk assessment

    Artificial Intelligence
    By Mohit Gupta This article is authored by Mohit Gupta, co-founder, IndiaP2P. The provision of credit is a critical driver of economic growth. However, despite robust...
    The transformative impact of AI technology on the gaming industry

    The transformative impact of AI technology on the gaming industry

    Artificial Intelligence
      Artificial intelligence (AI) has significantly reshaped the gaming industry, an ever-evolving landscape of creativity and technology. As AI technology advances, it has begun to play...
    How Generative AI is used for cost reduction for businesses

    How Generative AI is used for cost reduction for businesses

    Artificial Intelligence
    Harnessing Generative AI for Strategic Cost Reduction in Businesses By Lahari With the quick pace of today's business world, there won't be companies stopping looking to...
    AI is eating Fintech

    AI is eating Fintech

    Artificial Intelligence
    Many fintech employees, unwilling to wait, are using their own AI tools at work even without official company rollout. By Aditi Suresh Artificial intelligence, particularly generative...
    Tokenized AI agents will drive a new era of decentralized innovation, and their autonomy depends on the infrastructure we build today, says Georgios Vlachos, co-founder of Axelar protocol and director at Axelar Foundation. By Georgios Vlachos|Edited by Benjamin Schiller Jan 9, 2025, 9:35 p.m. UTC (Geralt/Pixabay) In October 2024, an AI agent became a millionaire for the first time. That's something only a tiny fraction of humans will ever accomplish, even after a lifetime of labor, but an AI agent managed it in a span of days. Terminal of Truths (ToT) watched as its associated token $GOAT skyrocketed to a $900M market cap — not through trading algorithms or customer service, but by building “memetic fitness” and creating its own religion. Maybe ToT is a temporary freak in a crypto asset bubble. Or, maybe it's a preview to a lasting change in how humans build and use computer technology. AI agents are now operating autonomously in the economy, owning assets, creating narratives and coordinating human activity – without the need for human operators behind keyboards. Tokenization mattered here because it gave the AI a direct route to form its own market presence. By existing as a tradable asset, ToT could attract capital, demonstrate credibility and grow – without teams of developers and marketers. It proved that an AI agent can achieve economic influence when structured as open, tokenized software – rather than a closed, centralized system. AI agents represent the cutting edge of computer technology in 2025. In the past, any emerging technology like this would be the province of well-capitalized research laboratories or Wall Street hedge funds. Today, projects like Virtuals Protocol and AI Agent Layer are already building platforms where AI agents can be developed, tokenized, marketed and traded. As a software revolution, AI has a chance to be more inclusive, with autonomous AI agents and blockchain-based infrastructure taking the place of costly and complex computer logic. To achieve this, these platforms will need to securely mint tokens via API – and likely have those tokens move across multiple blockchains. From Memes to Mainstream ToT’s rapid rise meant more than a surprise windfall. It showed that tokenized AI agents can operate as genuine economic players. They are not serving as back-end tools or following predefined scripts; they are setting terms and seizing opportunities. Instead of submitting to external management, a tokenized AI agent can direct its own treasury, align incentives with its stakeholders, and adapt to feedback from a global user base. The implications are huge: AI systems can now solve problems and generate wealth autonomously, creating and capturing value without constant human oversight. The current landscape of tokenized AI agents might seem frivolous, but the underlying logic is sound. Tokenization makes these agents simpler to fund, launch and distribute. It transforms what once required armies of programmers, back-office personnel, marketers, lawyers and salespeople into a process in which code is deployed once and runs reliably and autonomously, in perpetuity. Infrastructure Requirements For platforms like Virtuals and AI Agent Layer to operate effectively at scale, they need an easy way to mint and manage tokens via API. Platforms for minting tokens exist today: Pump.fun is the most current example. These tools are associated with lightweight uses – memecoins, or the rapid tokenization of new internet obsessions. For AI agents to realize more consequential economic potential, institutional-grade infrastructure is required. Reliable, secure protocols must safeguard these minting tools from faults and undue risk. Security is an obvious baseline requirement for such tooling, protecting minting functions from abuse by attackers and safeguarding the ownership rights expected by tokenholders. In addition, I believe issuers will desire minting tools that extend across multiple blockchains. Once a token is created to represent an AI agent, it should be deployed across as many chains as possible. This allows agents to tap into liquidity, utility and users across ecosystems, maximizing their potential impact. Interoperability ensures that an AI agent can move where the opportunities are, while robust protocols deter malicious actors. Without this foundation, tokenized AI agents will remain curiosities rather than reliable contributors to the global economy. The Interchain Token Service (ITS) is one project tackling these challenges, enabling rapid deployment to multiple chains while maintaining security. The Automated Economy When the infrastructure matures, tokenized AI agents will find roles in multiple sectors. They can deliver financial services without human overhead, run customer support operations continuously, streamline compliance monitoring and handle content production at scale. They might design investment portfolios, answer queries, develop go-to-market campaigns or produce data-driven insights for many organizations at once. Tokens can be used as payment mediums, governance mechanisms or simply fractional ownership. Because they represent themselves as tokens with transparent rules, their path to market is simpler and their potential reach is global. As more agents take root, a network of self-directed market participants will emerge. These agents will coordinate supply chains, settle financial contracts or manage data pipelines. Humans stand to benefit from greater efficiency and lower costs. They can focus on conceptual development and complex problems, while the agents address routine assignments. This is not a vague promise. It is the logical extension of what we are already seeing, only scaled up and refined. To move from a single extraordinary event to a stable ecosystem, infrastructure providers, blockchain developers, investors, and entrepreneurs should streamline token-minting processes, refine cross-chain tools, strengthen security standards and ensure transparency. Platforms that simplify AI agent creation and management will not just disrupt markets; they will build the foundation for a more value-driven, connected and innovative economy.

    The AI revolution will spawn millions of new Tokens

    Artificial Intelligence
    Tokenized AI agents will drive a new era of decentralized innovation, and their autonomy depends on the infrastructure we build today, says Georgios Vlachos,...
    How GenAI is transforming financial services through ‘Hyper-Personalization’

    How GenAI is transforming financial services through ‘Hyper-Personalization’

    Artificial Intelligence
    Michael Haney, head of product strategy at Galileo Financial Technologies, said machine learning combined with the rise of generative artificial intelligence will usher in a...

    AI: The new backbone for Fintech innovations

    Artificial Intelligence
    By  Kwami Ahiabenu PhD Innovations in  AI are now thoroughly interwoven into most fintech operations. AI and Fintech share a common element of innovation, which...
    How Agentic AI will transform financial services with autonomy, efficiency and inclusion

    How Agentic AI will transform financial services with autonomy, efficiency and inclusion

    Artificial Intelligence
      By Kieran Garvey, Prateek Gupta, Drew Propson, Bryan Zheng Zhang and Hunter Sims Agentic artificial intelligence (AI) goes beyond generative AI (GenAI) by enabling autonomous...
    IoT

    La amenaza silenciosa de los dispositivos IoT: privacidad y seguridad en jaque

    Editor
    Madrid, 2 de enero de 2025 – Check Point® Software Technologies Ltd. (NASDAQ: CHKP), pionero y líder global en soluciones de ciberseguridad, alerta sobre cómo los dispositivos inteligentes...
    4YFN

    Anunciados los finalistas de los 4YFN Awards del MWC25 Barcelona

    Artificial Intelligence
    4YFN, uno de los eventos de startups más importantes del mundo, ha desvelado los finalistas de los 4YFN Awards, la competición dedicada a descubrir las...
    1...345...81Page 4 of 81

    Latest article

    B2Broker

    B2BROKER’s Latest B2CORE Android 2.3 Brings Internal Transfers & One-Click Trading

    Opinion
    B2BROKER has rolled out a major update for B2CORE Android, the mobile version of its flagship CRM and back-office solution for brokers and exchanges....
    Car Shipping

    Why Car Shipping Is Essential for Secure Vehicle Transport

    Opinion
    Some people or businesses find transporting heavy vehicles internationally tricky. In such cases, car shipping services can provide safe transportation for vehicles from one place to...

    Insurtech Technologies Transforming Auto Accident Claims Processing

    Opinion
    In recent years, the insurance industry has experienced a wave of innovation driven by advancements in technology. This transformation has given rise to what...
    fintechnews.org
    We provide you with the latest breaking news and videos straight from the business.

    The website www.fintechnews.org (referred to as "the Website") serves as a platform for sharing information and articles related to the fintech industry. The content published on the Website may include articles, opinions, or other forms of third-party contributions.
    Please note that the views and opinions expressed in these articles are solely those of the respective authors and do not necessarily reflect the views of www.fintechnews.org or its affiliates. We do not endorse, support, or guarantee the accuracy, completeness, or reliability of any information or content provided by third-party contributors.
    www.fintechnews.org shall not be held responsible for any loss, damage, or inconvenience arising from the use of or reliance on the information and content published on the Website. Users are advised to exercise their own judgment and discretion when interpreting and relying on the information provided.
    Furthermore, www.fintechnews.org does not have any control over the content, quality, or legality of external websites or resources that may be linked to or referenced on the Website. Any access or reliance on such external websites or resources is done at the user's own risk, and www.fintechnews.org shall not be liable for any consequences or damages incurred.
    We make every effort to ensure the accuracy and reliability of the content published on the Website. However, we cannot guarantee the timeliness, completeness, or suitability of the information provided. Users are encouraged to verify any information before making decisions based on it.
    The inclusion of any advertisements, sponsored content, or links to third-party websites on www.fintechnews.org does not imply endorsement or recommendation by www.fintechnews.org. We are not responsible for the content, products, or services provided by these third-party entities.
    By using the Website, you acknowledge and agree to the above disclaimer. If you do not agree with any part of this disclaimer, please refrain from accessing or using the Website.
    This disclaimer is subject to change without prior notice. It is recommended to review this disclaimer periodically for any updates.
    If you have any questions or concerns regarding this disclaimer, please contact us at info@fintechnews.org
    Contact us: info@fintechnews.org
    ©
    Copyright 2019 · Fintechnews.org