Generative artificial intelligence (AI) applications have captured widespread attention from enterprise and consumer segments. This technology marks an inflection point in AI adoption, with the potential to transform business models, company functions, and job roles. While enterprise adoption is still nascent, organizations are exploring the potential impact and seeking to understand the steps to build adoption readiness. In addition, Generative AI comes with legal and ethical concerns that must be considered and planned for.
Enterprises must encourage a culture of experimentation and simultaneously follow a structured approach to prioritize use cases and accelerate implementation. The technology’s significance and disruptive potential create new growth opportunities across the information and communication technologies (ICT) ecosystem for digital infrastructure applications, boosting algorithm training and application deployments. Enterprise Generative AI will be critical for vendors and service providers to assess the potential application opportunities for adoption use cases and establish strategic partners to develop strong value propositions and accelerate go-to-market strategies.
Enterprises must encourage a culture of experimentation and simultaneously follow a structured approach to prioritize use cases and accelerate implementation. The technology’s significance and disruptive potential create new growth opportunities across the information and communication technologies (ICT) ecosystem for digital infrastructure applications, boosting algorithm training and application deployments. Enterprise Generative AI will be critical for vendors and service providers to assess the potential application opportunities for adoption use cases and establish strategic partners to develop strong value propositions and accelerate go-to-market strategies.