Metaverses will keep expanding and innovating at an exponential rate. By 2032, it is estimated that just the metaverses will haveincreased our current data usage by 20 times. Thus, in order to truly deal with these amounts of data transactions, more modern data solutions must be adopted.

If companies do not prepare for processing and utilising this data, then it will be hard to catch up. The flow of data will have become incredibly thick and the generated data will have reached incredible numbers. Data platforms must be prepared to handle this data so that business owners can collect and process internal or third-party data to gain insights or to power other business processes.

Unlike the real world where physical and tangible goods are mostly what we interact with, metaverses allow us to have digital assets and let us experience virtual environments. These assets and platforms are all composed of multiple layers of data and it is this data that we actually interact with. We all know data has multiple dimensions and these dimensions can all be cross-analysed, compared, and extracted for any business purpose.

Training Data for AI-Based Platforms

High-quality training data is required to build platforms that are heavily driven by AI or for AI-based programs, especially on decentralised networks. Now, the way Web 3.0 platforms or blockchain networks operate is quite different from traditional systems, and thus, a different approach is required for building blockchain software.

For example, the data that is required to train the platform to correctly identify fraudulent activities or malicious acts must be sourced, and if not available, then it must be generated. A lot of this data is new as there are very few ways to bypass blockchain security except phishing methods. AI is being trained by companies such as Meta for enabling them to identify threats and abuse in order to protect the various users of their metaverse.

Top integration challenges within metaverse

87% think there will be a need for new/upskilled employees

60% of IT leaders say ‘data’ & ‘security’