Future of Asset Management Lies Within Seamless Integration of Data Sources

As the administration of data-rich, low-frequency trading assets becomes increasingly automated, the ability to pull accurate data from various sources will be crucial. This data will come from three primary places: 1) devices on the edge, particularly as these devices get smarter, 2) decentralized cloud environments, on the asset or 3) blockchain networks with trading data. The seamless integration of these data sources is where the future of asset management lies, and Inveniam alongside Pyth Network will play pivotal roles in this transformation.

In the future, asset and portfolio management will involve automated agents pulling data from these multiple sources. These agents, using Retrieval Augmented Generation (RAG), will tap into decentralized cloud networks, or devices directly on the edge, working with vendors/partners to ensure the data is accurate and reliable - this is the truth, or accuracy of the data. Inveniam will ensure that this data is pulled from the right place, maintaining the integrity and trustworthiness of the information - this is the completeness of data. Inveniam provides the context, attribution, and trust of this data.

When it comes to blockchain data feeds/or oracles, Pyth is excellent at feeding real-time pricing data to DeFi platforms and Tradfi folks like Cboe Global Markets . This capability makes Pyth a critical player in the ecosystem of automated asset management.

As these technologies advance, we foresee a consolidation in the market. Companies like Amazon Web Services (AWS) G42 Microsoft or Google Cloud should seriously consider partnering/acquiring a significant stake in Pyth.

The future of private market asset administration will rely on the ability to pull data from either 1) asset data directly from that assets own systems, 2) the assets of portfolio gp's decentralized cloud or 3) a tradable ledger, likely blockchain, with Pyth at the center of this third data flow on trading data. Cloud providers that integrate Pyth’s solutions will be able to offer auditable, traceable data feeds from DLT into all their automation solutions for private market assets, not just enterprise solutions setting them apart as leaders in the market.

Google Cloud is making smart moves with its next-generation AI utilization as a form of enterprise data management, but there’s more to be done. Inveniam has significantly more developed solutions, that allow you to use any cloud provider and our patented technology, ensures that data from the edge, the cloud, and blockchain sources is not only accurate but also fully integrated across all platforms. This capability—working seamlessly with edge, cloud, and chain solutions—will be paramount for any cloud provider or administrator aiming to lead in.