Offering Summary

More Than a Technology: Generative AI as an Ecosystem

Driving Innovation with AI

• Spot the Opportunity
  Identify and prioritize use cases where generative AI can deliver value and be implemented at scale.
• Test and Learn
  Test the AI’s effectiveness before investing in a full-scale deployment.
• Scale Your Success
  Apply learnings and build out enterprise-grade technology solutions to manage data, security, and risks.

Building Your Generative AI Ecosystem

• Clients: Build your fundamental knowledge of generative AI through workshops, hackathons, demos, and proofs of concept. With a robust, comprehensive strategy—including defining the business case for implementation, prioritizing investment in the highest value use cases, and outlining the capabilities necessary to drive successful outcomes—you can better unleash the full potential of the technology.
• Technology: Ensure alignment between business objectives and generative AI initiatives with a technology-driven approach. This includes quickly establishing generative AI sandboxes to test use cases and defining and executing against key challenges at scale, such as data segregation, security loading and ingestion, and mitigating key risks.
• Consumers: Our holistic approach ensures that your generative AI solutions cater to the needs and expectations of your consumers, enhancing their experiences while adhering to ethical considerations and mitigating potential risks.
• Ethics: Ethics occupies a central position in the ecosystem, highlighting the importance of ethical considerations as the foundation of generative AI implementation. By placing ethics at the core, the ecosystem ensures responsible and transparent practices that build trust and protect the well-being of individuals and society as a whole.

What Sets Publicis Sapient Apart?

LET’S CONNECT

Why Publicis Sapient