Cliente: RedHat UK
Formato: Whitepaper
Tamaño: 675 KB
Idioma: Inglés
Fecha: 25.07.2024
Top considerations for building a foundation for generative AI
Generative artificial intelligence (AI) is a powerful tool for organizations that want to create innovative products, optimize processes, and gain competitive advantages in rapidly changing markets. Based on advancements in deep learning and neural networks, it goes beyond predictive AI capabilities by not only processing data, but generating new, original content. Generative AI is reshaping human-machine collaboration, inspiring new approaches to problem solving, and delivering significant business gains across industries.
Worldwide, organizations are building new, innovative applications using generative AI technologies. In fact, 39% are currently investing in generative AI technologies, while another 37% are exploring potential use cases.1 Here are a few of the many use cases for generative AI today:
Worldwide, organizations are building new, innovative applications using generative AI technologies. In fact, 39% are currently investing in generative AI technologies, while another 37% are exploring potential use cases.1 Here are a few of the many use cases for generative AI today:
- Generate forecasts for complex scenarios. Generative AI can analyze historical data, identify patterns, and develop accurate forecasts to aid in strategic planning and risk management.
- Develop personalized marketing. By analyzing data to understand customer preferences and behaviors, generative AI can create personalized marketing materials—including emails, advertisements, and promotions— that maximize engagement and conversion rates.
- Automate and personalize customer service. As the foundation for intelligent chatbots and virtual assistants, generative AI can automatically respond to customer inquiries and interactions, providing personalized, efficient customer service.
