These 3 AI Pillars can Optimize Your Cloud Management

For many teams, cloud is about grappling with bill shocks, scrambling to optimize resources, and chasing answers for unexplained cost hikes. A smarter approach to cloud management can change that. 

Unlike many platforms, emma uses AI to do more than just highlight problems. It actively solves issues via a 3 pillar approach: predict, forecast, and advise. Instead of raw metrics and vague data, you get actionable recommendations to make data-driven decisions. 

Here's how our 3-pillar framework works:

🔮 Predict

ML models scan vendor trends to predict pricing shifts. As a result, you get time to renegotiate rates, realign budgets, or rethink scaling strategy. With emma, you can always tap into other providers if your primary one isn’t meeting your cost expectations. 

📈 Forecast

emma’s ML models also analyze current and historical usage patterns to forecast demand and utilization. This helps you provision exactly what you need when you need it. No waste, no downtime. 

🧠 Advise

This pillar is the true differentiator. emma doesn’t just show you the data, it tells you exactly how to use it to your advantage:

✅ Overprovisioning detected? emma recommends when and what to downsize

✅ Expecting a growth spurt? The platform helps you plan

✅ Running low on budget? It guides you to cost-effective options

Combined, these pillars create a continuous optimization cycle where every insight leads to recommendations and actions. As emma analyzes and learns from the consequences of those actions, its suggestions just keep getting better.  

💡 See how companies are using emma to save thousands, avoid downtime, and streamline operations in our latest blog post.

Read more here.