Can GenAI and GenBI finally solve the observability and cloud + data cost puzzle?

If you work in IT or finance at a large enterprise, you already know the pain of skyrocketing cloud costs and the constant firefighting to keep systems healthy and performant. Managing this complexity often feels like trying to catch sand slipping through your fingers.

Gartner forecasts that global end-user spending on public cloud services will grow to $723.4 billion in 2025, a 21.5% increase from $595.7 billion in 2024. Similarly, public cloud spending is projected to double by 2028, with a CAGR of 19.4%, per IDC’s Worldwide Whole Cloud Forecast 2024–2028.

For regulated sectors like healthcare and finance, where compliance and retention needs are high, the pressure on budgets is immense.

But here’s the real issue: it’s no longer just about cost. Enterprises are also struggling with cloud observability, the ability to monitor, trace, and optimize performance across complex, multi-cloud environments. Multiple dashboards, siloed logs, and reactive troubleshooting often mean that teams identify problems only after SLAs or budgets are hit.

So, what’s going wrong? And is there a smarter way to manage both cloud observability and cost together?

Why is achieving resource efficiency and platform resiliency challenging?

Despite having multiple cloud cost optimization tools and monitoring dashboards, most enterprises still lack end-to-end visibility across performance, spend, and business outcomes.

Common challenges include:

Fragmented views: Teams use disconnected cloud cost monitoring tools for spend, performance, and compliance.
Lack of business context: You know what you spent, but not why it matters.
Siloed operations: Logs, metrics, and traces are rarely tied to financial or business outcomes.
Reactive firefighting: Traditional cloud cost management tools detect issues only after the damage is done.

The result? Finance leaders face unpredictable bills, ops teams juggle endless dashboards, and engineers waste hours focusing on resource optimization, application and SQL tuning and bottleneck identification while costs continue to rise.

Impetus Prism™: Unified AI-powered observability & cost management solution for the Intelligent Enterprise

This is where Impetus Prism changes the game, not as another point tool, but as an intelligent cloud optimization platform that unifies visibility, optimization, and governance across AWS, Azure, Google Cloud, Databricks, and Snowflake.

Impetus Prism delivers a single pane of glass for multi cloud observability and cloud cost management, helping enterprises connect spend, performance, and outcomes.

Here’s how Impetus Prism stands apart:

Built-in GenAI and GenBI intelligence proactively predicts costs, detects anomalies, and enforces governance before issues escalate.
Automated tagging and audit readiness ensure complete transparency for FinOps cloud cost management teams.
It predicts costs, prevents failures, and optimizes consumption, helping teams debug faster and govern smarter, with every insight tied to business value and optimizable investments.
The platform’s core pillars (Unify, Optimize, and Predict) enable business-contextual insights that merge financial accountability with operational efficiency.

Impetus Prism™: One Platform. Three Breakthroughs

Impetus Prism goes beyond cloud cost optimization solutions; it transforms the way enterprises optimize cloud spend, monitor workloads, and drive hybrid cloud cost savings through intelligent automation.

AI-powered intelligence that unifies performance, observability, and cost

What truly differentiates Impetus Prism is its suite of AI-driven capabilities that go beyond monitoring and reporting. These features combine automation, intelligence, and business context to deliver holistic cloud observability, cost, and performance optimization, all within a single platform.

1. Intelligent query optimization

Slow, inefficient SQL queries are among the biggest hidden contributors to cloud overspend. It leverages GenAI to automatically analyze, rewrite, and optimize queries, making them faster and more cost-efficient. It helps enterprises reduce cloud costs, improve workload performance, and eliminate the need for manual tuning.

By integrating AI into query management, Prism not only improves execution efficiency but ensures that optimization decisions reflect business priorities and data relevance.

2. Intelligent workload and resource optimization

Whether you’re running compute-heavy analytics or storage-intensive pipelines, right-sizing infrastructure is crucial. Impetus Prism’s AI-driven workload optimization continuously analyzes utilization patterns and applies cloud optimization best practices to prevent over-provisioning and underperformance.

It aligns with recommendations from sources like AWS Trusted Advisor cost optimization and extends them with contextual insights, ensuring every resource investment is optimizable and business-justified.

3. PrismIQ: Generative BI for conversational insights

PrismIQ transforms how leaders and analysts interact with their data. Instead of navigating static dashboards, users can simply ask,

“How much is marketing spending this quarter?” “Which business units had the highest data processing costs?”

PrismIQ instantly generates dynamic, visual dashboards using Generative BI, delivering contextual insights that connect cost, consumption, and performance to business outcomes. This conversational approach bridges the gap between IT and business, empowering decision-makers to act on insights faster and more confidently.

4. Unified observability & RCA bot

Prism delivers comprehensive multi cloud observability by integrating telemetry data across platforms. Its RCA (Root Cause Analysis) Bot detects anomalies, correlates them with performance and spend data, and provides actionable recommendations.

This unified visibility enables faster debugging, proactive governance, and more predictable performance, empowering teams to move from reactive firefighting to proactive cloud spend optimization.

5. Self-healing and predictive operations

Prism takes observability further with self-healing automation and predictive intelligence. It doesn’t just detect issues, it prevents failures, optimizes resource consumption, and enforces governance automatically.

By predicting anomalies and remediating them in real time, Prism ensures uninterrupted operations, SLA compliance, and measurable hybrid cloud cost savings without manual intervention.

Why isn’t everyone doing this already?

Most existing tools focus solely on cost or observability. They stop at reporting or visualization and rarely combine cloud spend management tools with proactive optimization or AI-driven insights.

Impetus Prism integrates multi cloud observability, cloud cost management and optimization, all within a single ecosystem.

The results speak volumes:

Up to 40% reduction in combined cloud and data spend
50% faster resolution of performance bottlenecks with proactive RCA
Improved reliability through anomaly detection and self-healing
Predictive governance with tagging, chargebacks, and audit readiness

And the best part? Prism seamlessly integrates with your existing tools without replacing your existing infrastructure.

Conclusion

Cloud and data costs will keep rising, but your complexity doesn’t have to.

With Impetus Prism, you gain a unified, intelligent approach to cloud cost management and cloud cost optimization. From multi cloud observability to cloud cost management, Impetus Prism combines AI-driven automation with cloud optimization best practices to help enterprises stay agile, compliant, and cost-efficient.

Explore how PrismIQ and smart cluster optimization work together to optimize cloud spend, enhance observability, and deliver measurable savings, all within one unified platform.

FAQs

Q: Why choose Prism over my current toolset?

A: Prism uniquely combines cloud cost management tools with AI-driven optimization and observability, providing unmatched value and control.

Q: What can I do with PrismIQ?

A: You can ask natural-language questions, and PrismIQ instantly builds interactive dashboards, no code required.

Q: Is workload optimization automatic?

A: Yes! Impetus Prism continuously analyzes workloads, applies cloud optimization best practices, and adjusts resources dynamically.

Authors

Mustufa Batterywala – Director of Technology, DevOps, Impetus Technologies

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