About this event
Sensitive data is the lifeblood of many industries, guiding strategic decisions and driving growth. However, with the advent of Generative AI (GenAI), managing and exploiting this data has become increasingly complex. Balancing innovation with compliance, scalability, and security is no easy task.
While building a proof of concept (PoC) based on public APIs is one thing, creating an actionable GenAI product—especially with sensitive data—is an entirely different challenge.
Organizations face critical questions such as:
- How do I choose the right GenAI model and determine the best hosting solution (on-prem/cloud) for my needs?
- What best practices will ensure fast, scalable, and cost-effective deployment of LLMs on my infrastructure?
- How do I create added value with my GenAI system without frustrating my users?
- How can I systematically evaluate and optimize Generative AI applications end-to-end?
- How do GenAI products differ from traditional software and classical AI products in terms of development and deployment?
- How can I ensure product safety and regulatory compliance while addressing hallucinations and privacy?
Join our upcoming webinar as we explore these questions and provide practical strategies for using GenAI in sensitive data environments. Our top experts in the field will share real-world case studies and reveal the frameworks necessary to transition from AI projects to impactful AI products, even when dealing with sensitive data.
Key takeaways:
- ROI on AI Products: How to create sustainable business value with AI products
- GenAI Compliance: Key considerations (GDPR, EU AI Act, etc.)
- Cost-effective AI systems: Ensuring fast, scalable, and cost-efficient LLM deployment
- Creating and maintaining high-quality AI: End-to-end optimization of GenAI products
- Client Case Studies: Practical insights on LLM-guided CRM data transformations and RAG (Retrieval Augmented Generation) in the Banking and Financial Services sector
Webinar designed for:
- Chief Data Officer
- Chief Information Officer
- Head of Data & AI
- Head of Innovation
- Data Science Manager
- Head of Strategy
- Data (Science) Project Manager
- Or anyone with a stake in Data Science, GenAI, or LLMs within industries handling sensitive data.
👋 Can't attend live? Register now to receive the recording and the slide deck within 24 hours after the live session.
CBTW
Technology-as-a-Service for modern organizations—wherever they operate.We are a global tech company dedicated to making technology work for people. With over 2,600 experts across 21 countries, we believe in the collaboration between technology and people, amplifying the potential of one another. Every day, we help our clients achieve their ambitions with technology.
