TELEMETRY DATA AS AN ENTERPRISE ASSET
As organizations scale, telemetry data complexity, volume, and cost of data management will continue to increase. Observability, security, and business teams will demand access to a wider variety of data. More functional groups will consider incorporating AI/ML into their observability workflows, but data quality will constrain business outcomes. As organizations realize that it's not the ML models but underlying data that will separate them from their competitors, they will have to take a newer enterprise approach to manage their telemetry data. In the coming year, we will see organizations taking steps to manage telemetry data as an enterprise asset and putting mechanisms and governance in place, first to understand the data and then provision the right data in suitable formats, with appropriate quality and context to observability and security teams.
Ajay Khanna, CMO, Mezmo