... use case in forecast/budget variance explanations, according to a survey by Gartner, Inc. Respondents anticipate revenue/spend data classification and management reports as the next most impactful use cases for GenAI in finance. The survey of 100 finance leaders - carried out in November 2023 - revealed ...
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... Smart spaces are practical use cases for the AI race, delivering operational efficiency and cost reduction, but they are largely undifferentiated. Product leaders should differentiate by using this critical AI race component while addressing challenges of data sharing, privacy and hardware capabilit ...
... Emerging AI architectures offer superior efficiency, scalability and performance over transformers. Product leaders must evaluate these architectures and hybrid models to build next-generation products and reduce costs. Overview Analysis Gartner Recommended Reading Gartner Research ...
... Data center product leaders are investing heavily in unproven nuclear technologies, hoping that unprecedented innovation will transform a stagnant industry and deliver reliable and low-cost power for GenAI and HPC needs. Here, we break through the hype and offer a practical way forward. Overview Strategic ...
... general-purpose LLMs’ dominance by addressing limitations in reasoning, grounding, and creativity, enabling more diverse AI ecosystems. Product leaders must integrate diverse AI models into strategies and architectures to drive innovation and compete in the AI race. Overview Strategic Planning Assumption ...
... Gartner has identified 12 disruptive emerging technologies poised to reshape every business in the next three to five years. This roundup research summarizes our predictions, insights and recommendations for addressing these transformative disruptions, highlighting their impact and how tech providers ...
... Small language model capabilities for generative AI have been quietly progressing and will catch many providers off guard in the race toward scalable AI. Product leaders need to establish their own internal model capability — likely open source — to develop healthy, scalable, sustainable differentiation ...