... Tech services leaders should stop the superficial AI washing and showcase authentic AI capabilities, beginning with their public websites. Upgrading conventional chatbots into conversational AI assistants engages buyers in a personalized and positive experience that can generate faster, more relevant ...
Analyst(s): Danny Ryan
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... Access Research Already a Gartner client? Gartner’s AI Use Case Insights Platform empowers AI leaders to discover, evaluate and prioritize AI use cases, allowing them to align business outcomes to AI solutions. When to Use Directions for Use Gartner Recommended Reading Gartner Research ...
Analyst(s): Pieter den Hamer | Moutusi Sau | Erick Brethenoux | Leinar Ramos
... Research Already a Gartner client? To realize AI value, AI leaders need to build a business-aligned AI portfolio rooted in value creation by evaluating the use cases’ cost, risk and value proposition. Use these insights to select and scale use cases to create an AI portfolio that drives business value. Action ...
... Research Already a Gartner client? Specialized AI models are emerging to challenge 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 ...
... Relying on a single AI model, due to the hype about generative AI, is a common pitfall in enterprise AI adoption. To achieve more accurate and robust AI solutions, AI leaders should move beyond using just one model or technique, embrace composite AI practices and adopt a holistic AI system perspective. ...
Analyst(s): Joe Antelmi | Pieter den Hamer | Ben Yan | Deepak Seth
... demonstrate tangible value, manage escalating risks, and scale fragmented initiatives beyond initial pilots for AI. CIOs and AI leaders must draft and implement a business-aligned AI strategy to foster AI maturity. This comprehensive guide presents executives with a practical journey plan to accompany the maturity ...
... client? Scaling AI across the organization requires designing fit-for-purpose organizational structures in accordance with AI maturity. Use these insights to help AI leaders build effective teams, balance centralized and hybrid AI capabilities, and accelerate responsible, enterprisewide AI adoption. Action ...
... products still mostly function as assistants, powered by general LLMs, but enterprise clients want AI embedded where the work happens. Tech CEOs can achieve defensible differentiation by building workflow-native AI products, powered by domain-specific models and proprietary data. Overview Introduction Analysis ...
... Access Research Already a Gartner client? Ensuring continuous quality of AI-based systems in production is a critical challenge that directly threatens productivity gains. Software engineering leaders must enforce guardrails, shift-right testing practices and tools that support the ongoing evaluation ...