GenAI That Actually Delivers ROI

From a 95% Failure Rate to Success with Amazon Bedrock

Most GenAI projects fail. We’ve figured out why and how to fix it.

Most GenAI projects don’t deliver ROI — not because of bad technology, but because the execution gap between experimentation and production is huge. In this session, TeraSky and AWS experts will break down the frameworks, architectures, and evaluation methods that actually turn GenAI pilots into profitable systems.

When: 16 December at 15:00

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What You’ll Learn

We’ll break down how Amazon Bedrock solves the core issues that cause 95% of GenAI projects to fail, covering three key areas:

• Open-Weight Models: How to use open models safely — keeping control of your data, governance, and security.

• Model Evaluation: How to benchmark models based on accuracy, speed, cost, and safety so you choose the right model for each job.

• Enterprise-Scale Architecture: How to connect agents, knowledge bases, and tools into workflows that can handle real business complexity.

You’ll Walk Away With

A clear framework for evaluating and selecting models, production architectures with measurable ROI, cost-performance optimization techniques, and a practical roadmap for moving from experimentation to scale.

This webinar is for CTOs, engineering leaders, and innovation teams ready to ship AI that creates value.

Register now