Choosing the right platform for building and deploying applications is crucial. A recent article titled “Why Microsoft Shouldn’t Be the Top Choice for AI Focus Investors” highlighted some compelling reasons why Amazon Bedrock is emerging as a preferred choice over Microsoft’s Azure Open AI service.

One of the standout points was the trust factor. Customers are gravitating towards Amazon Bedrock not just because it offers access to a wider variety of models, but also because Amazon has a clear policy of not sharing proprietary data with model makers or using it to train models. This assurance stands in stark contrast to the lingering doubts customers have about Microsoft’s data privacy practices, despite Microsoft’s repeated assurances to the contrary.

For AWS fan’s like myself, this is a significant development. Trust is a fundamental element in any business relationship, and Microsoft has a track record of spinning narratives much like a seasoned political campaign. This brings to mind the numerous breaches at Microsoft that I’ve previously discussed—breaches that haven’t received the serious media coverage they warrant. These incidents were downplayed in major outlets like the Wall Street Journal, Bloomberg Technology, and the Financial Times, underscoring Microsoft’s influence over the media landscape.

For companies and users, this trust in AWS translates into a more secure and reliable platform for developing AI services. AWS’s commitment to data privacy and its robust infrastructure make it a superior choice for long-term AI projects.

For now, Microsoft continues to be a significant player in the hype cycle, but the edge goes to AWS when it comes to substance cycle. The combination of trust, transparency, and technical excellence makes AWS the better platform for the future of AI services.