... AI PCs are evolving to support advanced AI applications, such as GenAI and LLMs, offering enhanced user experiences through sophisticated local processing capabilities. Product leaders must proactively integrate these advancements in technologies to deliver cutting-edge solutions. Overview Analysis ...
Analyst(s): Ben Lee
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... Incorporating GenAI functionality into TSP products and services generates a transfer payment from software providers to LLM inference providers, resembling a “tax” that providers cannot control. This research helps product leaders plan for this “tax” to protect their revenue and margins. Overview Strategic ...
... The development and deployment of LLMs used for generative AI are driving demand for new hardware technologies for higher-performance computing. Product leaders can gain a competitive advantage in coming years by assessing and utilizing the emerging technologies highlighted here. Overview Strategic Planning ...
Analyst(s): Alan Priestley | Shrish Pant | George Brocklehurst | Menglin Cao | Adrian O'Connell | Anushree Verma | Uko Tian | Gaurav Gupta
... supporting AI transition. It describes the maturity of generative AI (GenAI) implementation, the processes used for fine-tuning large language models (LLMs), as well as the investments in graphics processing units (GPUs) and central processing units (CPUs) for future AI innovations and roadmap. Overview ...
... The proliferation of generative AI content has created a perceived need for AI content detectors. However, textual output from LLMs is not amenable to content detector tools. Instead of technology-based tools, product leaders must apply business and regulatory approaches to address the need. Overview ...
Analyst(s): Danielle Casey | Ray Valdes | Andrew Frank