Unleashing the Power of AI, IOTA, and CC to Tackle Real-World Issues: Bridging Web2 and Web3 With BUILD.5

• BUILD.5 explains how using AI and IOTA, they create a simple structure for businesses to onboard on Web3.
• They propose creating decentralized AI using Federated Learning (FL) instead of centralized LLMs like ChatGPT.

Earlier this year in June 2023, some of the biggest builders of the IOTA ecosystem joined hands to create BULID.5 thereby offering businesses a seamless transition from Web2 to Web3. As we know, BUILD.5 players have been working on implementing confidential computing as well as privacy-driven cloud computing solutions.

While the craze for artificial intelligence (AI) grows further, BUILD.5 is exploring how they can use AI and IOTA to solve real-world problems, such as data deserts. BUILD.5 proposes solutions wherein they can give around 4.5 million app developers worldwide easy access to Web3.

BUILD.5 says that its platform is tailored to match the way modern applications are developed, ensuring smooth experiences for enterprises that want to harness the combined power of web2 + web3 = BUILD.5.

Part 3 of our CC Showcase explains how we use Artificial Intelligence, @iota, and CC to solve real world problems, like data deserts. Learn how we give more than 4.5 million app developers around the world radically simple access to web3 via BUILD.5.

Our platform is designed to… pic.twitter.com/VGD8XjRaDB

— BUILD.5 (@build5tech) August 1, 2023

The Decentralization of AI

According to BUILD.5, the current state of AI seems fragmented with centralized players and Large Language Models (LLMs) dominating the market. ChatGPT and other large language models (LLMs) rely on centralized cloud systems to handle massive amounts of data. However, this centralized architecture has limitations in terms of scalability.

Centralized AI faces challenges such as rising data transfer costs, incompatibility with privacy-focused industries, and performance issues like latency and security. As a result, there is a pressing need to explore alternative ways to improve AI models.

BUILD.5 proposes the concept of Federated Learning (FL) aka Federated AI that offers an alternative approach to AI training. Federated Learning (FL) offers a decentralized approach to machine learning. It involves using a global model that collaboratively trains itself across multiple devices or servers. The data used for training is private and stays localized, but the insights and computational effort are shared among the devices or servers.

BUILD.5 simplifies the use of web3 technology by designing integrations that align with how modern applications are built. This means seamless compatibility with Kubernetes-based platforms like IBM’s Supercomputer Vela, easy interaction with federated learning tools in Watsonx Studio, and interconnectivity with confidential computing libraries like OpenFL, which Intel adopted to develop privacy-focused open source AI using federated learning and confidential computing.

With natural compatibility with platforms like OpenShift and interoperability with adjacent technologies like Watsonx, Vela, and OpenFL, millions of developers can access BUILD.5 easily through the applications they use daily. This opens up vast possibilities for innovation and productivity, far exceeding what the entire web3 industry could achieve in the next decade. Together, we can discover groundbreaking innovations.

Use of Federated AI in Real-World Problems

This tech stack finds broad application in “data deserts” – industries, regions, or situations with restricted data collection due to privacy concerns (military or healthcare) or practical barriers (small businesses, rural areas). Such limitations hinder AI model progress, leading to biased models due to insufficient training data in certain areas. However, BUILD.5 solves this problem with a simple workflow.

1. Federated Learning enables AI models to be trained locally on devices, maintaining privacy and adhering to data regulations without transferring raw data.
2. Confidential Computing complements this by creating secure enclaves for data processing, ensuring data confidentiality and protection during active use.
3. The IOTA blockchain enhances trust and security by providing a transparent, immutable record of FL transactions, thereby preserving data integrity and privacy compliance. Its lightweight protocol, feeless transactions, and scalability make it ideal for IoT device-generated transactions.
4. IoT devices are essential in addressing data deserts, given their ability to generate vast data and widespread presence. These devices can function as nodes in the FL system, enabling distributed learning and real-time model updates.
5. The BUILD.5 platform integrates these technologies to offer a unified, efficient solution for tackling data desert challenges.

BUILD.5 simplifies web3 adoption by integrating seamlessly with modern application development. Unlike other web3 projects, it embraces centralization as an additional tech to interact with, recognizing that the first billion blockchain users will likely transition from web2 to web3.