is the future of AI/ML promising?
Is the future of AI/ML promising? The reality of today suggests otherwise – and it's not a pretty picture.
Industry giants like Google and Microsoft are heavily investing in AI/ML, evident in products like the recent Pixel 9 which focuses more on AI/ML apps rather than traditional features. Yet, this shift is not resonating well with reviewers, raising concerns about its practical benefits.
Microsoft's significant investments in AI/ML infrastructure have also faced challenges, with tools like Copilot receiving tepid reactions owing to data governance risks potentially outweighing its promised benefits.
The absence of a coherent business model and a crowded market have cooled down initial excitement. "Winter is coming" for AI/ML, as the current state doesn't align well with market needs, making sustainability a tough bet.
However, the future of AI/ML is not entirely bleak. We’ve observed advancements like stronger data processing capabilities and more personalized user experiences.
It does require substantial effort – a solid strategy, the right tools, testing, and time. Abandoning AI/ML isn't an option.
So, the question stands: Should we give up on AI/ML?
Or
Innovate, optimize, and push for better results? Seems like the smart choice to us
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