e-book: Best Practices for Ensuring Data Quality & Relevancy for AI

Accurate, secure enterprise AI starts with data and people.

Generative AI (Gen AI) is transforming industries by enabling applications that generate human-like text, images, and code, with popular implementations like OpenAI’s ChatGPT and Microsoft Copilot enhancing productivity tools. However, the effectiveness of these tools in enterprise settings depends heavily on data quality, governance, and security, requiring organizations to prioritize data readiness and senior leadership oversight to maximize AI's benefits.

This e-book details what you need to know to prepare for AI rollouts by exploring:

• Key enterprise use cases where Gen AI delivers value
• The challenges that hinder AI adoption
• Key steps to ensure data is accurate, structured, and secure for AI deployment