[Music] And for our next session, I want to bring on Khune to tell you about how we can merge crypto and AI super well together. So, please give him a big round of applause. Good afternoon everyone. How's it going? Are you enjoying Taipei?
This is actually my first time here and I gotta say it's an amazing city. Personally, I the food I want to try is hot. I hope you're enjoying this place as much as I am. I am Ream, CTO of Lambda 256. My background is in search engines, data visualizations and knowledge graphs and now I am bring this all all the experiences into web three.
Today I'm going to talk about beyond those how ontology powers blockchain in the AI era. Let's dive into session. Let's start from where we are. Over the past decade, blockchain evolved quickly, becoming faster, cheaper, and easier to scale. Blockchain isn't just for crypto anymore.
It's now the foundation for many services you we use every day. Getting useful insights from blockchain data is important not just for finance but healthcare, supply chains and AI automation but discovering insight is not easy. We have three considerations. First representing blockchain data in a meaningful way. Second, integrating blockchain with offchain data.
Third, providing data flexibly for real world use. Without solving this, blockchain stays just a reg not intelligence. Today, I will show you how nobody is dealing with these problems. Let's first define exactly what blockchain knowledge structure is. Blockchain knowledge knowledge in bra is not just indexing raw data.
It connect onchain and offchain data creating new knowledge in need three consideration and as I mean in need three core functions as your system standardized flexible data storage for easy integration as your data layer trusted structured data instantly available as your tool visualization queries and I AI models to discover insight fast. Our goal is simple to make blockchain data easy to understand and useful for everyone. But to become real knowledge in blockchain data must meet three essential requirement. First trustworthiness blockchain works great because it's open and reliable. All data must be to verify clearly and system need to be secure and is to check.
Second interoperability. Real insights don't come from onchain data alone. The real world connects both onchain and offchain data. Blockchain data should easily integrate and interact with external data. Third, scalability in must easily handle increasing data volumes both onchain transactions and offchain data.
It needs to scale smoothly without redesigning everything each time. These these three tasks are not easy but nobody is tackling them one by one. We to solve these problems we choose an ontology based approach. But what exactly is? Simply put, ontology defines things, their properties, and how they relate to each other in a way humans and AI can easily understand.
AI expert and ontology pioneer Thomas Glover defines ontology as a former explicit specification of a shared conceptualization of a domain of interest. Using ontology, blockchain entities and their relationships become clear, well structured and easy to understand. To help AI effectively use blockchain data, let me show you some real examples. Here's an example. USDT token metadata is structured using ontology.
This makes token information easy to understand not only for people but also for AI and not just the ERC20. You can use the same ontology for native tokens too. Here's another example. the recent five hacking incident. We structured the first transaction of the $1 billion hack using ontology.
Transactions through text or bridges can also be structured the same way. Since ontology clearly shows the sender, receiver and asset relationships, AI can immediately understand the transaction and get valuable insight. Using ontology as a common vocabulary allows AI to handle both onchain and offchain data easily in one unified language. Why is ontology important? First, it helps AI understand the meaning of data.
Blockchain's row data is scheduled and unclear onology clearly structured it so AI gets the context in need. Second in AI integrate with various data easily. Ontology provides a standardized way to integrate different data set. Each like giving people who speak English, Korean and Taiwanese one common language. Third, it enables region and knowledge expansion.
Ontology defines relationships clearly. So AI can infer new relationships from existing data, finding hidden knowledge automatically. Roughly explainable AI ontology makes AI's decision making transparent and stand understandable. For example, in healthcare AI can clearly explains why it recommends a certain medicine based on ontology. These reasons make ontology or foundational elements for blockchain as impa.
Now let me show you what we build. We apply the ontology to Ethereum. Building a structured knowledge graph. In this graph, accounts become nodes, transactions become edges. With a simple visualization, we can easily track how SS move.
Look at the left image. You can see one nodes with a lot of connections probably on exchange or bridge. The right image shows a common pattern of taxes interacting with one account. But there is a limit to what we can learn from onchain connect analysis alone. If we want to answer real world question like who owns this account?
What relationships do the owners have in real life? Are they connected to illegal organizations? We've got to integrate offchain data. Connecting blockchain with real world context helps answer important questions clearly. Let's now see this approach in a live demo.
This is CO our demo product visualizing on toy structured blockchain data. When certain patterns appear, we zoom into specific accounts to analyze more deeply. with relable data like breaches or high risk addresses. We quickly detect unusual activities and follow precisely. You can easily visualize and crosschain transactions through bridges and swap through the X2.
two. He By connecting onchain and offchain data, you can find the accounts owners real world locations, jobs or family relations, helping you discover more insights. We don't have the offchain data you are seeing here. The data on the screen is just an example. This is extremely useful for law enforcement exchanges and compliance teams.
Now let's see how we go beyond just a phone tracking. Here's a thank chart showing exactly how the $1 billion stolen by from 5B moves through different account. Orange nodes indicate empty account. Red nodes mean stolen asset. Stolen assets still remain.
This helps us clearly see how stolen money flows and where risks remain quickly and easily. And this is another view a network showing the relationships among accounts involved in the same incident. The center pink line is the first stolen $1 billion transfer. The blue da EOS dispersing assets repeatedly touch on the time left shows a contract bridges or exchanges. The yellow that highlights that SDS moved across chains through a bridge.
By combining this data with offchain data from intelligence agencies, we can gain even deeper insights and new information. Ontology based knowledge crafts rel to powerful relationship based analysis applying advanced AI models like GNN and predictive analytics to get deeper insight. So how can you actually build this knowledge? Oh, sorry. So now let's talk about how we how we can use ontology structure blockchain data in our life.
A big challenge we had was that many companies want to combine blockchain data with their own sensitive internal data like KY data or internal investigations without exposing their data to outside servers. To tackle this, we built flexible hybrid model. Enterprises can combine public blockchain data from the cloud with their sensitive data stored safely on premise. So they never risking exposing critical information externally. This way companies safely get valuable insights without risking the loss of their data.
By integrating this structural data with AI models, our approach evolves from reacting to events after they happen to predicting and preventing issues before they become real problem. That makes a huge difference for sensitive industries like finance, logistics and comp compliance where catching issues already means everything. So how can we actually build some knowledge impaired? The answer is rise in our foundation. Ni started as a node service provider offering a simple blockchain data access for web 3 developers.
But we quickly realized many customers wanted more than just a raw blockchain data. They needed structures, trusted and ready to use insight. That's why we expanded our robust node infra to include index data APIs, web hooks and streaming services, building a powerful data warehouse on top. With this base, our customers can directly use your structured blockchain data, getting useful insights right away. No complex setups, no extra hassle.
As some of you may already know, we are participating in the East Global Heaton to expand Nadis builder ecosystem. We call this data warehouse data scale. Data scale turns raw blockchain data into easy is to use a structural data set including smart match contract and historical trend. Users can quickly query, visualize and subscribe to live data streams to get instant insight. And our ontology based employees now expanding using this data scale data combining structured and raw data over previous limitations.
Simply put, data scale makes blockchain data easy to use, accessible and helpful to everyone. Our vision is simple but powerful. First, breaking barriers between web two and web 3 by integrating blockchain with real world application through ontology based AI. Blockchain shouldn't stay limited to web3 issues easily connect with everyday businesses in the real world. Second, removable complexity for customers.
Customer don't need to build custom nodes, infra or difficult data pipelines anymore. Instead, they can immediately leverage blockchain transparency through our simple and powerful tools. And since trust is everything, we are committed to security compliance certifying our system with standards like SOC2 to guarantee our data stays safe, secure and reliable. If this vision resonates with you, rest join forces and build something amazing together. Combining W3 ontology and AI can change the future of blockchain and beyond.
If you want to be part of this exciting journey or if you have questions, ideas or partnership opportunities, don't hesitate to reach out. You can always contact us at nad lambda2506.io and I will be around here with my team to talk you with guys. Let's create a future together. Thank you.
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Automatic transcript — names and jargon may be misspelled.