In sectors like healthcare, pharma, biotech, manufacturing, and finance, organizations struggle to build the necessary infrastructure for AI applications due to processing, data, security demands, and lack of expertise.
New cloud-based innovations, including AI infrastructure tools with accelerated computing capabilities, are benefiting businesses in various sectors by facilitating AI-driven capabilities such as faster clinical research, drug discovery, precision medicine, industrial simulations, and market opportunities.
Implementing a successful AI strategy remains daunting, as organizations are starting to explore AI use cases but face challenges in scaling AI adoption. Organizations need to invest in AI skills and training for employees to realize returns on AI investments.
Building robust infrastructure that can handle the high-performance processing demands of AI is a key technological challenge that organizations encounter in effectively implementing AI strategies.
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