How Ajay Malik & Greg Davis See AI Powering Business-Ready Networks

Why AI in Business-Ready Networking Matters

AI dominates the headlines, but most IT leaders ask the same question: can it really make networks more reliable? In this episode of Go Beyond the Connection, Ajay Malik (StudioX AI) and Greg Davis (Bigleaf Networks) cut through the noise to show how AI creates value when it’s applied with business outcomes in mind. Their message is clear: AI in business-ready networking is less about hype and more about measurable impact.

Practical Wins IT Leaders Can Expect

AI can unlock major improvements in networking—if deployed correctly. Malik and Davis outline how IT leaders can use AI to:

Reduce noise: filter out false alerts and spotlight actionable insights.
Detect anomalies faster: shorten root-cause analysis and speed recovery.
Tie reliability to CX and revenue: show how uptime protects customer trust.
Move from reactive to proactive operations: build a system that prevents failures before they happen.

Key Takeaways for Executives

AI must be grounded in business outcomes, not vendor promises.
Clean data and clear service-level objectives are essential for success.
Executives want AI tied directly to uptime, customer satisfaction, and reduced costs.
IT leaders should start small, prove value, and scale only once outcomes are clear.

“AI pays off when you can tie every suggested action to a clear reliability or customer outcome—otherwise it’s just more dashboards.”

Common AI Pitfalls to Avoid

Ajay Malik and Greg Davis don’t shy away from the risks of AI adoption. They highlight common pitfalls, including:

Buying into buzzword-driven vendor pitches without proof.
Scaling pilots too quickly before outcomes are validated.
Ignoring model drift, which can erode reliability over time.

For IT leaders, the lesson is simple: accountability and governance must come first.

Highlights from the Episode

Ajay Malik shares how to design AI systems that simplify decisions for IT teams.
Greg Davis explains how Bigleaf customers evaluate AI through the lens of uptime and CX.
Both emphasize that AI success depends on aligning technology with measurable business goals.

Closing: Making AI Business-Ready

AI has the potential to transform networking—but only if it’s applied pragmatically. By focusing on reliability, measurable outcomes, and executive priorities, IT leaders can make AI a trusted ally.