... Is that SaaS-delivered GenAI app secure to use? Are you building GenAI apps securely using cloud-hosted LLMs? Security and risk management technical professionals should join this session to hear about the top security threats and risks of GenAI adoption and mitigation strategies. Session Description ...
Analyst(s): Dennis Xu
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... Homegrown AI capabilities, like LLMs and agentic AI, will not soon replace commercial applications. However, change is coming. Enterprise application leaders should update their strategies to account for AI, including managing expectations about how applications will change over the long term. More Detail ...
Analyst(s): Tristan Iles | Howard Dodd | Alastair Woolcock | Tad Travis
... nature of large language models. Application technical professionals can use retrieval augmented generation to incorporate enterprise information into LLM interactions without the need for training, tuning or giving up control of proprietary data. Overview Analysis Guidance Gartner Recommended Reading ...
... This research explores how data and analytics technical professionals can use vector databases to make enterprise data available via LLMs, but advises caution about doing so. It also highlights other ways in which enterprises could benefit from the power of vector databases. Overview Analysis Guidance ...
... DeepSeek has gained attention by using proven techniques to train LLM models at significantly lower cost and lower reliance on the latest GPUs. If proven, it could fundamentally change GenAI economics, forcing product leaders to change their business models and GTM strategies. More Detail Contributors ...
Analyst(s): Jim Hare | Radu Miclaus | Mark McDonald | Ray Valdes
... Advanced chip packaging combines multiple, different dies in one package to meet the extreme compute specifications for AI accelerators used for LLM training. Product leaders should assess AI chip suppliers on not only technical specification, but also design flexibility and supply security. Overview ...
... institutions worldwide for their best-in-class technological innovations. Education CIOs can use this research to learn how critical innovations in GenAI/LLMs, D&A, AI/ML and other technologies are impacting the future of the industry. Overview Analysis Contributors Gartner Recommended Reading Gartner Research ...
... The advent of generative AI and other LLM innovations has led to exciting developments in customer service technology. Customer service and support technology leaders can use this report to gain insights into current “art of the possible” use cases from emerging, lesser-known vendors. Overview Strategic ...
Analyst(s): Steve Blood | David Norrie | Jim Robinson | Wynn White
... Access Research Already a Gartner client? GenAI and LLM have captured the interest of organizations aiming to enhance their security training programs. SRM leaders should understand how this technology can be used to improve security training programs, and more importantly, the organization’s overall ...
Analyst(s): Andrew Walls | Victoria Cason | Alex Michaels | Will Candrick | Richard Addiscott