... Access Insights Already a Gartner client? Enterprises unlock more value with domain-specific models as compared tovs. LLMs due to their high accuracy and cost advantages. Product leaders must invest in these specialized architectures to protect margins and secure long-term competitive advantages. Strategic ...
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... Access Insights Already a Gartner client? LLMs can generate unreliable supply chain recommendations when they lack a governed business context. Supply chain technology leaders must embed semantic definitions into AI workflows so outputs respect constraints and trade-offs. Insights at a Glance Impact ...
... Fresh insights on emerging trends Heads of EA should assess Ardoq’s acquisition of GraphLake, which signals a move toward neurosymbolic AI that combines LLMs with graph logic to curb hallucinations. Buyers should prioritize data ingestion quality and demand sandbox proof of touted capabilities during the ...
Analyst(s): Austin Steinmetz | Philip Allega | Rowan Wakeford
... Gartner First Takes Fresh insights on emerging trends CISOs now have more options to integrate LLMs into their application security portfolios with Anthropic Claude Fable 5 and Claude Mythos 5. Yet, CISOs must rigorously assess these models before considering adoption, making decisions based on cybersecurity ...
Analyst(s): Jeremy D'Hoinne | John Watts | Dionisio Zumerle | Gary Olliffe
... Access Insights Already a Gartner client? The most successful advances in agentic AI lie in the evolution of agent harnesses, not an LLM. Product leaders must invest in agent harnesses that balance complexity, abstraction, and deterministic control to achieve highly differentiated agentic reliability ...
... While LLM providers’ enterprise revenue is growing, it currently lacks the volume and velocity required to fund the frontier compute cycle. The consumer market remains a critical revenue enabler that frontier model providers like OpenAI, Google and Anthropic rely upon to meet their aggressive financial ...
... Building GenAI applications requires the adoption of AI-native software engineering and complementary skills such as data curation, adaptive dynamics and LLM system evaluation. This research identifies the essential skills software engineers should learn to deliver GenAI-powered software. Key Findings Recommendations ...
... Many life sciences organizations are investing in general-purpose LLMs that underperform in use cases requiring domain-specific terminology. CIOs should consider domain-specific language models, which have the potential to significantly improve output quality, enhance compliance and optimize cost. Insights ...
... failing enterprise needs. Success demands multiagent orchestration, hybrid architectures that blend deterministic control with large language models (LLMs), and outcome-based pricing to ensure scale, compliance, and ROI. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner ...
Analyst(s): Adrian Lee | Gabriele Rigon | Uma Challa | Justin Tung | Arup Roy