* Data-centric view of Multimodal AI - A Blog Series, contd...* Struggling with the escalating costs and complexities of managing multimodal data, especially for AI applications? In Part 5 of our Multimodal AI and Data blog series, "How a Purpose-Built Database for Multimodal AI Can Save You Time and Money", we: 💸 Delve into the total cost of ownership (TCO) implications including the hard costs associated with traditional data backends and the labor-intensive soft costs for skilled AI engineers. 🔔 Discuss the immense opportunity cost linked with delayed AI implementation due to complex data architectures and the challenges in accessing and visualizing proprietary data. 🎯 Demonstrate how the purpose-built ApertureDB can significantly reduce hard costs by consolidating storage, optimizing resource efficiency, and maximizing bare-metal efficiency and provide soft cost savings through simplified management, reduced errors, ease of use, and focused effort, eliminating the opportunity cost of delayed AI deployment. Real-world evidence further supports the potential cost savings, as illustrated through the experiences of major retailers and technology companies that have transitioned to ApertureDB, resulting in improved revenue potential and streamlined data processes. Blog here: https://www.aperturedata.io/blog/multimodal-data-tco