... stand-alone LLMs to leveraging them as components within broader AI systems that incorporate diverse AI techniques and strong data, engineering, monitoring and security practices. Insights at a Glance Key Take-Away Impact Brief Gartner Recommended Reading Gartner Research ...
Analyst(s): Leinar Ramos | Ben Yan | Pieter den Hamer | Birgi Tamersoy
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... The arsenal of AI-driven technologies capable of monitoring our planet is growing, including synthetic aperture radar, wide spectrum imaging and reflected GNSS signals. Product leaders must decide if, when and how much to invest in these new emerging technologies to remain competitive in the AI race. ...
Analyst(s): Nick Ingelbrecht | Aakanksha Bansal | Bill Ray
... from raw materials to finished products. Product leaders should harness cutting-edge Earth intelligence technology to stay ahead in the AI race for monitoring local and global economic activity to drive business value for their customers. Overview Analysis Gartner Recommended Reading Gartner Research ...
Analyst(s): Aakanksha Bansal | Bill Ray | Nick Ingelbrecht
... To drive faster, more effective decisions, supply chain leaders are looking to upskill the planning talent. This case study shows how Merck elevated its planners’ capabilities through experiential learning, drove significant performance improvements and increased digital value realization. Case Overview ...
... about engineering reflexive risk ownership at scale. Empower your business risk owners to demonstrate the following critical behaviors: Proactive monitoring of risk exposure Conscious balancing of risk exposure with business benefit Continuous advancement of collective risk knowledge About The Risk Reflex ...
... processes is a hidden drag on digital transformation, process automation, and GenAI ambitions. Process intelligence unifies modeling, design, mining, and monitoring, enabling you to visualize workflows, identify inefficiencies, and act on data-driven recommendations for improvement. Overview Introduction Description ...
Analyst(s): David Sugden | Tushar Srivastava | Marc Kerremans
... Access Research Already a Gartner client? Lack of a central observability team leads to inconsistent monitoring, reduced efficiency, missed insights, and mis-alignment with business goals. Heads of I&O are increasingly adopting central observability teams for operational efficiencies, better governance ...
... often struggle with fragmented visibility, increased costs and delayed decision making when operational issues arise due to a bloated portfolio of monitoring and observability tools. This research outlines three strategies to create a purpose-built observability environment. Overview Introduction Analysis ...
... Warehouse and yard operations are beginning to use AI-enabled vision systems to automate activities and visually monitor processes to identify ergonomic, safety and procedural issues to improve performance. This research helps supply chain technology leaders navigate this landscape. Overview Strategic ...