An end-to-end guide on AI data sourcing, storage, and governance to keep AI initiatives on track

Your organization is ready to prioritize AI-first projects. But is your data ready? Whether you’re developing AI-powered products to bring in new revenue or building internal AI tools to increase productivity, your AI initiatives start with the data you already have and how it’s stored. In this ebook, you’ll receive actionable advice covering:

• Defining your AI goals, relating them to key business outcomes, and measuring impact from day one
• Evaluating what data you already have, and what data you need to source or supplement to create AI-ready datasets
• Establishing a cross-functional AI data advisory committee (and who needs to be involved)
• Forecasting data growth and how that affects where/how it’s stored
• Critical performance and cost considerations for choosing an AI storage cloud vendor and quickstart comparisons of Backblaze B2 vs. AWS S3, GCS, Azure Blob, Wasabi, and more