Part 1/11:

Navigating the Challenges of AI Product Development: A Deep Dive into Velocis and the Future of AI Infrastructure

The Audience and the Context

During a recent presentation in Bangalore, the speaker began by engaging the audience, many of whom had experience building products within product management, development, or engineering teams. The focus was to explore the complexities and unique challenges of developing AI products compared to traditional software solutions.

The Traditional Product Development Cycle vs. AI Development

The speaker first outlined the typical product development cycle:

Gathering requirements
Designing the product
Iterative design and development
Testing and quality assurance (QA)
Shipping the product to market