PUBLISHED DATE: 2024-07-02 02:51:22
The Generative AI Risk Management Playbook
From Proof of Concept to Production: De-Risking Generative AI for Enterprise Success
Unlock the playbook
Executives: forget chasing the next big thing—become the next big thing
Did you know that the majority of generative AI proofs of concept fail to make it into production? The good news is that, with the right approach, some generative AI first movers are bridging the gap between successful prototypes and impactful products.
Below is a practical guide that’s not based on generative AI in theory, but rather in reality—with strategies to overcome unexpected challenges and mitigate risk when taking generative AI prototypes into production, based on lived experience with real products created by top brands.
Inside the playbook:
- Generative AI implementation challenges conquered
- Timeframe traps: Learn how to slash generative AI development timelines
- Unexpected costs: Discover strategies to minimize model costs, user adoption hurdles and hidden infrastructure upgrades
- Silo buster: Eliminate inefficiencies and security risks with a clear roadmap to avoid siloed efforts and shadow IT
Access the full playbook to discover:
- How to overcome common Gen AI project roadblocks and minimize risks across models, tech, customer experience, data and legal areas.
- Generative AI risk mitigation strategies
Minimize risks across the entire generative AI lifecycle:
- Model and technology: Choose the right model for accuracy, cost and speed. Implement rate limits and future-proof your tech stack
- Customer experience: Craft user-friendly prompts, leverage data for accuracy and prioritize human oversight for ethical interactions
- Customer safety: Prevent offensive outputs, identify vulnerabilities and ensure model outputs are safe and unbiased
- Data protection: Develop responsible AI use guidelines, anonymize data and balance transparency with model confidentiality
- Legal and regulatory: Navigate high-risk categories, maintain detailed model documentation and ensure user and regulatory transparency
Case study
Marriott Homes & Villas success story
See how a leading brand built a vacation rental search using generative AI, allowing users to describe their dream getaway and find perfect matches. Read the case study
Relevant Links
- From Proof of Concept to Production: De-Risking Generative AI for Competitive Advantage
- From Prototype to Production: Overcoming the Generative AI 'Stall' with Azure OpenAI
- De la Prueba de Concepto a la Producción: Cómo las Empresas de Viajes en América Latina Pueden Superar los Desafíos de la IA Generativa (LATAM)
- Generative AI for Public Health Education and Communication: Unlocking Accessibility and Personalization at Scale
- The Race to Faster and Cost-Efficient LLM Training
- Generative AI in Regulated Industries: Navigating Compliance, Security, and Risk
- De la Prueba de Concepto a la Producción: Cómo las Empresas de Viajes en México Pueden Desbloquear el Valor de la IA Generativa (LATAM)
- FAQ (FAQ)
- From prototype to production: turn generative AI promise into enterprise value on Google Cloud
- Generative AI Risk Management in Retail: Overcoming Data and Integration Challenges
- A Guide to De-Risking Generative AI for Real-World Impact
- L’IA générative : De la preuve de concept à la production – Un guide pour les dirigeants européens (Europe)
- Generative AI in Retail: From Experimentation to Enterprise Value
- From Proof of Concept to Production: De-Risking Generative AI for Competitive Advantage
- Generative AI Risk Management in Retail: Data, Ethics, and Governance for Scalable Success
- Building Enterprise-Ready AI Platforms with Amazon Bedrock: From Experimentation to Production
- From Prototype to Production: Overcoming the Generative AI 'Stall' on Google Cloud
- Generative AI for Knowledge Management in Regulated Industries: Compliance, Governance, and Risk Mitigation
- La Revolución de la IA Generativa en América Latina: De la Prototipación a la Producción a Escala (LATAM)
- From Prototype to Production: Overcoming Implementation Challenges in Generative AI for Travel Brands
- LLMOps on AWS: Scaling Generative AI from Prototype to Production
- De la preuve de concept à la production : Dé-risquer l’IA générative pour un impact réel en Europe (Europe)
- AI-Ready Data: The Foundation for Scalable LLMOps
- 10 Things Buyers Should Know About Publicis Sapient’s Approach to De-Risking Generative AI (LIST)
- Generative AI Risk Management in Regulated Industries: Sector-Specific Strategies for Compliance and Governance
- De la Prueba de Concepto a la Producción: Cómo Desbloquear el Valor Empresarial de la IA Generativa en América Latina (LATAM)
- Generative AI Risk Management in Retail: Overcoming Data, Integration, and Governance Challenges
- 12 Things Buyers Should Know About Publicis Sapient’s Digital Business Transformation Work (LIST)
- Generative AI Risk Management in Regulated Industries: Sector-Specific Strategies for Compliance and Governance
- 6 Things Every CEO Should Know About Generative AI
- Gestión de Riesgos en la Implementación de IA Generativa en el Retail Latinoamericano (LATAM)
- IA generativa y nube: cómo pasar de la experimentación al valor empresarial en América Latina (LATAM)
- Gestión de Riesgos de la IA Generativa en el Retail Latinoamericano: De la Experimentación al Valor Empresarial (LATAM)
- Generative AI Risk Management and Regulatory Compliance in Energy & Commodities: Best Practices for Governance, Security, and Ethical AI Adoption
- Generative AI Risk Management in Retail: Overcoming Data, Integration, and Governance Challenges
- Generative AI for Knowledge Management in Regulated Industries: A Deep Dive into Governance, Compliance, and Risk Mitigation
- La gestion des risques liés à l’IA générative : Un guide pour les dirigeants européens (Europe)
- From Prototype to Production: Overcoming the Generative AI 'Stall' with Publicis Sapient and AWS
- Generative AI for Health Education Accessibility: Bridging Gaps for Diverse and Underserved Populations
- Exploring the Role of Generative AI in Public Health Education and Communication
- La gestion des risques liés à l’IA générative : Un impératif stratégique pour les entreprises européennes (Europe)
- 10 Things Buyers Should Know About Publicis Sapient’s Approach to De-Risking Generative AI (LIST)
- From Prototype to Production: Overcoming the Top Challenges in Generative AI Implementation for Travel Brands
- Generative AI Risk Management for Energy & Commodities: Governance, Compliance, and Workforce Transformation
- Scaling Generative AI in Retail: From Pilot Projects to Enterprise Value
- AI-Ready Data: The Foundation for Scalable LLMOps
- 10 Things Buyers Should Know About Publicis Sapient’s Digital Business Transformation Approach (LIST)