Blockchain for Machine Learning
Discover how web3 is emerging in the Machine Learning industry.
Companies we’ve helped with their web3 strategy
What challenges face the Machine Learning industry?
The Machine Learning industry faces a few key challenges including: Data Privacy, Verification and Transparency.
Data privacy concerns are escalating as personal data becomes susceptible to unauthorized access, potentially leading to identity theft and confidentiality breaches.
The issue with verification processes lies in the potential occurrence of false positives or negatives, which can lead to inaccurate outcomes and decisions.
Transparency is a cornerstone of trust and accurate information dissemination, critical for effective decision-making and accountability across various sectors.
I believe that Ethereum can and will solve a fundamental problem that plagues modern enterprises: data quality.
Paul Brody
Global Blockchain Leader , EY
What are use cases for blockchain in the Machine Learning industry?
Blockchain can be used to solve problems in the Machine Learning industry including Payment Streaming, Research Fundraising and Attribution.
By enabling real-time and continuous microtransactions, blockchain technology can revolutionize payment streaming. It eliminates the need for traditional payment systems, enhancing efficiency and transparency.
Blockchain can be used for research fundraising, offering transparent, secure transactions, and ensuring accountable fund utilization. Donors can track contributions, fostering trust and transparency in the process.
Blockchain can be used for attribution, offering a transparent and immutable record of ownership and authorship, ensuring proper credit, and protecting against plagiarism.
How can Alchemy help Machine Learning companies with their blockchain strategy?
Alchemy's team of blockchain experts and enterprise-grade web3 development platform can help Healthcare companies plan, build, and scale new blockchain initiatives.
We use Alchemy’s Smart Websockets (specifically the newHeads method) to be immediately notified when new blocks are added to Ethereum, Polygon, Arbitrum, and Optimism. This method has driven a 3x latency improvement in our ingestion process, and as Alchemy optimizes the API, we continue to see improvements to performance.
Kartik Patel
Former Head of Protocol, OpenSea
