
Why observability should be a central part of your public sector digital strategy
With more data, more point solutions, and more cyber threats, the ability to see across your entire IT environment is absolutely essential for public sector agencies dealing with sensitive data and its mission-critical implications.
And it’s more than visibility and monitoring – in today’s complex digital environment, you need the ability to:
- Proactively predict patterns across your logs, infrastructure, and apps
- Detect and quickly respond to anomalies
- Make real-time data-informed decisions using the power of AI and ML
That’s the value of true end-to-end observability. Download the eBook to learn more about observability and how it can help public sector organizations advance their digital strategies.
Why observability should be a central part of your public sector digital strategy
The public sector is shifting from “imagining the possibilities” of generative AI to operationalizing it through their systems and processes to realize its value at scale.
Realizing the value of generative AI at scale depends on having accurate, accessible, trusted data inputs. That’s why many public organizations are prioritizing data quality, management, aggregation, and availability, as they look to use AI to advance their programs and missions.
Join IDC and Elastic for a fireside chat, where AI experts Massimiliano Claps and Dave Erickson will discuss current AI trends in public sector, drawing on both research and real-world use cases from government agencies and other public sector organizations.
They’ll cover topics such as:
- Domain-ready data management for AI
- Taking a crawl-walk-run approach to AI implementation
- How data quality can support responsible AI use
- The importance of a vector database and cloud native platform
