More talks in the program:
In today’s data-driven world, machine learning and AI play a substantive role in how organizations collect information and extract insights. Now a growing number of companies are combining this power with blockchain technologies to distribute the collection and tracking of data, as well as to ensure transparency and security.
In this talk, Marta will delve into details on solutions being built to maximize machine learning and blockchain technologies to create better overall data tracking, insights and security. Use cases will include:
– Leveraging machine learning to discover patterns and spot false negatives in blockchain-based provenance tracking systems.
– Removing bottlenecks in financial services by combining immutable and transparent records and transactions with faster analytics and quicker approvals.
– Collecting and recording transaction data from on-chain and off chain sources, including IoT, to provide end-to-end visibility for supply chains.
– Making it possible to separate health data from health records to help aggregate vital information for research while protecting patient privacy.