AI News 2024年12月23日
How blockchain, IoT, and AI are shaping the future of digital transformation
index_new5.html
../../../zaker_core/zaker_tpl_static/wap/tpl_guoji1.html

 

区块链、物联网和人工智能正融合形成一个更智能、互联的生态系统。区块链通过提供信任、代币化和智能合约,实现自动化;物联网设备产生大量数据,为人工智能提供可操作的见解;人工智能则利用这些数据提供实时智能。三者协同工作,重新定义了行业功能,尤其是在供应链管理、去中心化金融、物联网设备自主交易、能源管理和去中心化基础设施网络等领域,并推动数字钱包和中央银行数字货币的普及。到2030年,这一融合将重塑产业和经济,创建一个真正互联的数字经济。

🔗区块链提供信任基础:区块链技术从概念验证走向实际应用,通过透明性确保信任,并利用代币化和智能合约实现自动化,广泛应用于供应链管理和去中心化金融。

📡物联网设备生成数据:到2030年,预计全球将有300亿个物联网设备,这些设备产生的大量数据为人工智能系统提供了基础,同时,物联网也引入了“事物经济”的概念,设备可以自主进行交易。

🧠人工智能驱动智能:人工智能利用物联网设备产生的数据,提供可操作的见解,并通过区块链确保数据的来源可靠和智能的安全性,形成双向关系,提升设备智能水平。

💰数字钱包与金融融合:区块链赋能的数字钱包功能超越了加密货币,支持账户抽象和与WalletConnect等工具的集成,同时,代币化银行存款将传统银行与区块链连接,推动区块链在更广泛的商业应用。

🌐去中心化基础设施网络兴起:去中心化物理基础设施网络允许共享或代币化资源,创建社区驱动的基础设施,如Render池GPU资源用于游戏,Filecoin用于去中心化存储。

When devices, networks, and AI work together seamlessly, it creates a smarter, more connected ecosystem.

This isn’t a distant dream; it’s a reality rapidly emerging as blockchain, IoT, and AI come together. These technologies are no longer working in isolation – they form a trio that redefines how industries could function.

David Palmer, chief product officer of Pairpoint by Vodafone, captures this shift: “Blockchain is providing trust. It gave us tokenisation, it gave us smart contracts, and it gave us a new way of automating, which is now spilling over into the wider business landscape.”

Building trust with blockchain

At its core, blockchain has matured from experimental concepts to practical tools for industries. Its early potential is now manifest in real-world applications like supply chain management and decentralised finance (DeFi). Blockchain not only ensures trust through transparency but lets organisations streamline operations and gain new efficiencies.

Palmer described blockchain’s evolution: “It’s been years in the past where we’ve done a lot of proof of concepts, we’ve done a lot of training. It’s been a lot of headlines. But today I really want to explore how blockchain and IoT and AI can work together to really be a part of the new business digital infrastructure that’s emerging.”

IoT’s expanding role in data generation

IoT devices have become omnipresent, embedded in everything from cars and drones to household sensors. Experts expect that by 2030, there will be around 30 billion IoT devices worldwide. These devices generate massive amounts of data, which AI systems capitalise on to provide actionable insights. According to Palmer, “By 2030, we’re expecting over 30 billion IoT devices. These are cars, drones, cabinets, sensors, all woven into the business process and business industry.”

But IoT isn’t just about data collection. It introduces the concept of the “economy of things,” where devices transact autonomously. To make this work, however, these devices need secure and reliable connectivity – a role blockchain is uniquely equipped to fulfil.

AI’s appetite for reliable data

AI thrives on data, but the quality and security of that data are paramount. Public datasets have reached their limits, pushing businesses to tap into proprietary data generated by IoT devices. This creates a two-way relationship: IoT devices supply data for AI, while AI enhances these devices with real-time intelligence.

Palmer emphasises the importance of data trustworthiness in this ecosystem: “You need an identity which gives you origin of data. So we know the data is coming from a certain source, is signed, but then we also need to trust the AI that’s coming back.”

Blockchain plays an impartant role in ensuring trust. It guarantees the legitimacy of both the data given to AI systems and the intelligence delivered back to IoT devices through verified digital identities and cryptographic signing.

Digital wallets and the adoption of blockchain

Digital wallets are becoming a cornerstone of this evolving ecosystem. Their global numbers are expected to grow from 4 billion today to 5.6 billion by 2030. Unlike traditional wallets, blockchain-enabled wallets go beyond cryptocurrencies, supporting functionalities like account abstraction and integration with tools like WalletConnect.

One breakthrough is the integration of tokenised bank deposits. These bridge traditional banking with blockchain, encouraging businesses to use blockchain for their transaction needs. As a result, blockchain is making its way into broader business applications.

Finance meets IoT

The integration of finance into IoT devices is another forward step. Using smart contracts and AI, devices as disparate as cars and drones can now handle payments autonomously. Toll payments, EV charging, and retail purchases are just the beginning of this embedded finance ecosystem.

Palmer illustrated the potential: “By linking EV chargers and vehicles to blockchain, you can then relate that to their payment credential and their payment preferences. And then you can have a peer-to-peer transaction.”

The same principle applies to energy grids, where vehicles can sell energy during peak times and recharge during off-peak hours, thereby enhancing sustainability.

Decentralised infrastructure networks

Another interesting development is the rise of decentralised physical infrastructure networks (DePIN). These networks allow shared or tokenised resources to create community-driven infrastructures. For instance, protocols like Render pool GPU resources for gaming, while Filecoin decentralises storage.

According to Palmer, “It’s about how communities can build specific AI and specific connectivity infrastructure, specific payments infrastructure for their businesses.”

Blockchain and the role of CBDCs

Governments are also noting blockchain’s potential. Central Bank Digital Currencies (CBDCs) are being explored as a way to integrate blockchain into macroeconomic policies, such as managing money supply and redistributing income. Tokenised deposits further extend blockchain’s role by digitising traditional monetary systems.

With CBDCs and tokenised deposits, blockchain is moving beyond niche applications to become an important part of financial ecosystems worldwide.

The metaverse and its evolution

The metaverse, once a far-off concept, is rapidly evolving. Innovations like AI-enabled smart glasses change how users interact with immersive digital content. Palmer noted: “This year, the introduction of the glasses by Meta […] allow you to […] access your content but also have access to AI agents.”

AI robots are also adding a new dimension to the metaverse by bridging virtual and physical experiences. These same technologies and methods open up opportunities in a variety of industries, including manufacturing and healthcare.

A seamless digital ecosystem

The convergence of blockchain, IoT, and AI marks a turning point in digital transformation. Blockchain ensures trust, IoT generates data, and AI delivers intelligence. Together, these technologies promise to create a digital operating system capable of reshaping industries and economies by 2030.

Palmer concludes, “If we can link billions of devices to blockchain and AI through secure infrastructure, we unlock the potential of a truly interconnected digital economy.”

See also: AI meets blockchain and decentralised data

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post How blockchain, IoT, and AI are shaping the future of digital transformation appeared first on AI News.

Fish AI Reader

Fish AI Reader

AI辅助创作,多种专业模板,深度分析,高质量内容生成。从观点提取到深度思考,FishAI为您提供全方位的创作支持。新版本引入自定义参数,让您的创作更加个性化和精准。

FishAI

FishAI

鱼阅,AI 时代的下一个智能信息助手,助你摆脱信息焦虑

联系邮箱 441953276@qq.com

相关标签

区块链 物联网 人工智能 数字经济 DePIN
相关文章