Discover what 500+ tech leaders across industries are facing as they build language-based AI applications.
Executive summary
We surveyed 500+ tech leaders across industries about their language-based AI projects. Learn how organizations like yours are achieving precision, reducing costs, and overcoming common hurdles with tailored AI applications.
1. The State of AI Deployment
Learn how SLMs can be a cost-effective, scalable alternative to larger AI models, with practical advice for training, data preparation, and deploying them effectively.
2. Expert Insights from Tech Leaders
Understand how 500+ tech leaders across industries are approaching AI adoption and get benchmarks to evaluate your organization's progress.
3. Actionable Insights for AI Deployment
Learn how top tech leaders are tackling the key challenges of deploying AI, including cost optimization, fine-tuning models, and navigating budget constraints.
4. Takeaways and Conclusions
AI teams are prioritizing data quality, operational agility, resilient infrastructures, and compliance.
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