Michaela Cornes’ Post

Blockchain first boomed in 2009 with Bitcoin’s launch, but where is it now over a decade later?  In this latest Beauhurst article (written by me!), we dive into the current landscape of blockchain technology and its evolving role, especially in the UK. Some key takeaways include: ⭐ The UK is home to 546 active blockchain companies, with London housing 68.7% of the total ⭐ Equity investment in UK blockchain firms has skyrocketed 20x over the past decade, from £21.1m in 2014 to £507m in 2023 ⭐ In 2021, blockchain-related funding hit a record high of £648m, marking a 305% year-on-year increase Read the full analysis here! ⤵ #Blockchain #Cryptocurrency #UKTech #Blockchain2024

Blockchain booms and crypto crashes 👀 Curious about the performance of UK blockchain and bitcoin companies amidst the fluctuating markets? Check out this insightful analysis: https://lnkd.in/eJQYUzUA

Blockchain was front page news when Bitcoin launched in 2009. Now, over a decade later, while it still makes headlines, it definitely feels more of a quiet undercurrent. We've taken a deep dive into the world of blockchain to answer one pressing question: are people still investing in cryptocurrencies today? Read the article: https://hubs.ly/Q02PD_yC0 #Blockchain #Bitcoin #Cryptocurrency #BeauhurstInsights

Blockchain technology has revolutionized asset ownership and transfer through asset tokenization. However, the full potential of asset tokenization can be unlocked by combining it with generative AI. Generative AI can enhance the efficiency and security of asset tokenization, leading to increased adoption and innovation in the field. The process of tokenizing an asset involves steps such as identifying the asset, valuing it, evaluating compliance requirements, partnering with a tokenization agency, choosing the right marketplace, tokenizing the asset through smart contracts, and launching it for trading. Asset tokenization offers benefits such as increased liquidity, enhanced transparency, reduced costs, and global reach. Open source tools like generative AI algorithms for fraud detection, smart contract optimization, personalized investment opportunities, decentralized marketplaces, digital twinning, data-driven decision making, and automated compliance can be leveraged for asset tokenization. By combining blockchain and generative AI, developers can create a more efficient and secure asset tokenization ecosystem. This news is positive for the generative AI industry as it highlights the potential of generative AI in enhancing asset tokenization. #Blockchain #AssetTokenization #GenerativeAI Question: How do you think the combination of generative AI and blockchain technology will shape the future of asset tokenization?

How does Blockchain empower AI developers with immutable ownership rights? 🤔 Let's understand ⬇️ Blockchain ensures immutable records of transactions and ownership, providing a transparent ledger where AI models can be registered, verified, and traded securely. This decentralized approach eliminates the need for intermediaries, enabling direct peer-to-peer transactions and fostering a marketplace for AI models and datasets. Advantages of Blockchain for AI Model Ownership 🤖 ✅ Immutable Records: Ensures that ownership and usage rights of AI models are verifiable and tamper-proof. ⛓ Direct Transactions: Facilitates direct transactions between AI developers and users, reducing transaction costs and time. 💰 Incentivization: Enables developers to monetize their AI models through transparent transactions, receiving fair compensation for their intellectual property. Cluster Protocol leverages Blockchain to establish a decentralized marketplace for AI solutions, where developers can securely register, trade, and monetize their AI models. 🚀 By ensuring transparent and immutable ownership records, the protocol empowers creators while fostering innovation and collaboration within its AI ecosystem. 

The advantages of blockchain technology are vast and transformative for modern supply chains. Blockchain enhances authenticity, acting as a powerful tool against counterfeiting, and enables end-to-end supply chain mapping with visibility into multiple supplier tiers (2nd, 3rd, and beyond). It strengthens supply chain management by optimizing processes, providing real-time inventory visibility, and ensuring compliance across all levels. For specific industries, blockchain can offer unique advantages: in food supply chains, it enhances traceability and safety; in textiles, it can verify sustainable sourcing; and in EV batteries, it can track lifecycle and environmental impact. Furthermore, implementing a Digital Product Passport (DPP) will add significant value to the end consumer and will support the circular economy by enabling product lifecycle tracking, fostering recycling, and reducing waste. Additionally, Sergey Nazarov of Chainlink says that his company Chainlink has developed a way to connect SWIFT with Blockchain technology. Once the linkage is tested fully and is operational this connectivity will facilitate blockchain adoption in traditional finance, paving the way for an efficient, cost-effective, and transparent supply chain that will leverage both the foundational benefits of blockchain and the reliability of SWIFT’s global payment network.

Hey there! Have you ever wondered how AI and blockchain work together? Well, let me tell you about it. AI, or artificial intelligence, is a technology that allows machines to learn and make decisions without human intervention. On the other hand, blockchain is a decentralized digital ledger that records transactions in a secure and transparent way. When these two technologies are combined, they can create powerful solutions for businesses. For example, AI can analyze large amounts of data and make predictions, while blockchain can ensure the security and integrity of that data. One way in which AI and blockchain work together is through smart contracts. These are self-executing contracts that use blockchain technology to automatically enforce the terms of an agreement. With the help of AI, these contracts can be programmed to adapt to changing conditions and make decisions accordingly. Another example is in supply chain management. By using AI to analyze data from different sources such as sensors or GPS trackers, businesses can track their products throughout the supply chain in real-time. And with blockchain technology, this data can be securely stored and shared with relevant parties. In addition, AI-powered chatbots can use blockchain technology to securely store sensitive customer information such as personal details or payment information. This not only ensures privacy but also allows for more personalized interactions with customers. The possibilities of combining AI and blockchain are endless. From improving efficiency and accuracy to enhancing security and transparency, this partnership has the potential to revolutionize various industries. So next time you hear about AI or blockchain separately, remember that they work even better when they work together. Thanks for reading! Sincerely, Onur

🚀 𝗔𝗜 𝗡𝗲𝗲𝗱𝘀 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 🚀 Artificial intelligence (AI) thrives on vast amounts of authentic data, but ensuring data integrity and scalability is a significant challenge. Blockchain technology offers a promising solution to this problem by providing a secure, transparent, and decentralised way to manage information. Key Insights: 1. Data Integrity: Blockchain’s immutable ledger ensures that once data is recorded, it cannot be altered or tampered with. This guarantees the authenticity of information, which is crucial for training reliable AI models. 2. Scalability: Blockchain can handle large volumes of data across distributed networks, making it scalable to meet the demands of AI systems that require extensive datasets for training and operation. 3. Transparency: Every transaction on a blockchain is transparent and traceable. This transparency helps in verifying the source and accuracy of data, thereby enhancing the reliability of AI outcomes. 4. Decentralisation: By decentralising data storage, blockchain reduces the risk of single points of failure and ensures continuous availability of information. This decentralised approach aligns well with the distributed nature of AI applications. 5. Synergy with AI: The integration of AI and blockchain can lead to more robust and trustworthy systems. AI can benefit from the secure data infrastructure of blockchain, while blockchain can leverage AI for enhanced data analysis and decision-making processes. As AI continues to evolve and integrate into various sectors, the synergy between AI and blockchain will become increasingly important. Blockchain technology has the potential to address many of the data challenges faced by AI, paving the way for more reliable and effective AI applications. 🌐🤖🔗 #AI #Blockchain #DataIntegrity

Hello #Connections, Today's Topic is about Tokenization!🚀 Before exploring the concept of tokenization, there are some basics to recap. What is meant by tokens? Tokens are dependent digital assets that are stored and managed on the blockchain. How are tokens generated? Tokens are generated using token standards(Guidelines, rules, or specifications that are agreed upon by a group of people) that already exist on the blockchain. Tokenization is a process of representing an asset's ownership rights as digital tokens. These tokens act as digital certificates of ownership. Tokens represent many assets including physical, digital, fungible(Interchangeable) and non-fungible(Unique) items. Tokenized assets are managed using crypto wallet. Benefits of Tokenization: 1. It offers decentralization, trustless solution compared to traditional products, investment vehicles and services. 2. Makes assets more valuable, accessible and useful. 3. Enhances the liquidity of assets and provides greater accessibility to investment opportunities. 4. Increases transparency in ownership and ownership history while reducing administrative costs. 5. Enables a way for assets to participate in the Decentralized Finance. Why Tokenize on Blockchain? 1. Tokenized assets can be traded on blockchain-based platforms whenever needed without any time restrictions. 2. Blockchain’s decentralized nature allows anyone with Internet access to invest in tokenized asset 3. Tokenization in blockchain can streamline processes by reducing the need for intermediaries. 4. Blockchain technology allows real-time tracking and monitoring of tokenized assets. Asset Tokenization Example: • Real World Asset(RWA) Tokenization • Digital Asset Tokenization • In-game Asset Tokenization Follow ARULSELVAN M for more insights and tips! ✨

The Merger of AI and Blockchain: A Game-Changer for Industries The convergence of Artificial Intelligence (AI) and Blockchain is poised to redefine industries and reshape our digital world. This dynamic duo offers a potent combination of intelligence and trust, unlocking unprecedented opportunities. Here’s how this powerful duo is set to revolutionize the landscape:   ▪ 🔒 Enhanced Data Security and Privacy: Combining AI with blockchain ensures that data used in AI models is protected from tampering and unauthorized access, addressing critical concerns around privacy and security. ▪ 🔄 Revolutionizing Supply Chains: AI-driven insights recorded on blockchain create an immutable ledger, providing unparalleled transparency and efficiency, reducing disputes, and ensuring product authenticity. ▪ 🤖 Smart Contracts and Autonomous Systems: AI-powered smart contracts on the blockchain can automate complex transactions, making them more secure and transparent—transforming industries like real estate, insurance, and legal services. ▪ 💡 Decentralized AI Models: With blockchain, AI models can be decentralized, allowing for collaborative development where multiple parties contribute data while maintaining ownership and control. The Applications are Endless: ➡ Healthcare: AI and blockchain can be used to create secure and efficient electronic health record (EHR) systems for storing patient data. Blockchain can also be used for secure data logging, transactions, and maintenance using smart contracts. ➡ Cryptocurrency: AI-powered trading bots can use AI algorithms to automate trading processes, analyze market trends, and execute trades based on predefined parameters and market conditions.  ➡ Fraud detection: AI can monitor transactions and network activity to detect anomalies and stop fraud. ➡ Network optimization: AI can predict network congestion and adjust mining difficulty accordingly. While the potential is immense, challenges such as scalability, energy consumption, and regulatory frameworks need to be navigated. But for those who can harness the power of AI and blockchain, the future is bright and full of possibilities. What are your thoughts on the future of AI and blockchain? Share your insights in the comments below! 👇 Hydralogic AI Titanisu #AI #Blockchain #innovation #technology #futureoftech #datasecurity #supplychain #healthcare #business #digitaltransformation