The Future of Generative AI: Real-world Adoption, Partner Growth, and Lessons for CTOs

Generative AI is experiencing increased adoption in business, with companies like Walmart rolling out gen AI apps to employees. This has led to a surge in demand for graphical processing units (GPUs) needed to train deep learning models. Nvidia, the dominant supplier of GPUs, has seen a boost in earnings and is advocating for developers to optimize their code for GPUs instead of traditional CPUs. However, not all software applications would benefit from GPUs, and there may be limitations to the current wave of gen AI. The next wave of gen AI will require technological improvements, more open source models, and cheaper GPUs. Despite these challenges, gen AI is expected to drive automation and productivity, with McKinsey stating that it is poised to unleash the next wave of productivity.
- Generative AI at an inflection point: What's next for real-world adoption? VentureBeat
- Generative AI to Fuel Vast Partner Growth Channel Futures
- What CTOs are learning from generative AI InfoWorld
- GenAI in productivity apps: What could possibly go wrong? Computerworld
- AI Education - The education system is adapting to rapid changes brought by generative AI Trend Hunter
- View Full Coverage on Google News
Reading Insights
0
0
7 min
vs 8 min read
91%
1,465 → 129 words
Want the full story? Read the original article
Read on VentureBeat