Proven AI adoption strategies | | | See how to overcome four common AI adoption challenges and achieve your goals faster with leading tools in Google Cloud. | | | | | | | | | Small to midsize companies are using AI and machine learning (ML) to improve cost savings and security. That's because AI and ML can quickly analyze large amounts of disparate data and deliver trusted insights and services that increase efficiency. | | "By 2026, trends show that 85% of enterprises will combine human expertise with AI, ML, natural language processing, and pattern recognition to augment foresight, making workers 25% more productive and effective." | | Discover how to use AI and ML to drive business transformation in the ebook, Build an effective AI strategy: Overcome four common adoption challenges. In it, you'll discover how easy-to-use tools in Google Cloud can help you: | - Make AI accessible for more employees by meeting them where they are in terms of skills.
- Adopt a unified data and AI strategy rather than thinking about them as separate entities.
- Standardize the AI development lifecycle while maintaining flexible technology choices.
- Simplify model deployment and infrastructure management.
| | You'll also explore company case studies that give real-world examples of using AI and ML to solve business problems, improve competitiveness, and drive growth. | | See you in the cloud,
The Google Cloud Team | |
No comments:
Post a Comment