As more devices become internet-enabled, driving intelligence from machine-generated data grows more important, yet more challenging.
Unstructured data is doubling every two years, and 56% of organizations already find it humanly impossible to properly assess their data due to its volume, according to New Relic’s 2018 research.
Traditional enterprise data management systems just weren’t made to handle these loads.
Whether you’re a new web 3.0 startup or the largest of enterprises, every second, your servers and applications are generating logs that need to be analyzed in real-time to manage your infrastructure, view your customer’s journey across your applications and detect security breaches.
Kathy Barboza, Director of Software Alliances at Intel, William Bell, EVP Products at phoenixNAP and Geoff Tudor, VP and GM of Vizion.ai will discuss the three biggest mistakes organizations are making in managing machine-generated data, what happens if these problems are not fixed, and how to overcome them.
Our exclusive panel will cover:
- What you need to know to overcome challenges of storing and processing data
- How 2nd generation of Intel Xeon Scalable processors are blazing the machine-generated data storage and analysis trail
- How to save money while scaling with Vizion.ai Log Analytics Service by phoenixNAP and Panzura
Register today and learn how your organization can improve its data management capabilities and stay competitive!