... Analysis Avaamo Boost.ai Druid AI Google IBM Kore.ai Netomi NiCE Cognigy Omilia PolyAI Salesforce SoundHound AI Sprinklr Yellow.ai Development Options and Usability Infrastructure Process Management Scalability Multimodality GenAI Enablement Analytics AI TRiSM and Governance AI Assistant Orchestration Customer ...
Analyst(s): Adrian Lee | Justin Tung | Uma Challa | Gabriele Rigon | Arup Roy
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... Access Insights Already a Gartner client? Advances in reasoning models will dramatically raise the performance bar for AI agents, enabling them to tackle more complex tasks across different domains and modalities. Product leaders must anticipate reasoning becoming a foundational element of next-generation ...
Analyst(s): Eric Goodness | Walker Black | Aapo Markkanen | Evan Zeng | Danielle Casey | Radu Miclaus | Vibha Chitkara
... The auto industry is at a crossroads. Many automakers and Tier 1 suppliers struggle with their digital transformation and their financial woes add to the problem. Read through this research to understand automotive CIOs’ viewpoint and how they plan to deal with this challenge. Insights at a Glance Iss ...
... Executive leaders need to scale AI to realize its potential value, but shifting from “ready to fail” to “ready to scale” requires you to close three risk gaps up front and in production: cost, cybersecurity, and trustworthiness. Miss one, and you miss protecting the value you’re trying to create. Insights ...
Analyst(s): Rita Sallam | Pete Shoard | Mary Mesaglio
... Insights Already a Gartner client? Google’s integrated agentic data cloud makes it the company to beat in the data platforms for AI race. Competitors should “desilo” data platforms for AI portfolios, embrace multicloud, and defragment current developer experience to catch up. Overview Analysis Gartner Recommended ...
... Access Insights Already a Gartner client? Providers failing to integrate spatial AI risk losing market share to competitors delivering context-aware, physical-world interactions. Product leaders must evaluate strategic spatial AI integrations and partnerships to effectively benefit from and monetize this ...
... forge a foundational “forgetting” primitive — a “digital lobotomy” that surgically removes database influence from all AI models — will risk being supplanted due to the twin forces of the AI regulation and the quickly evolving competitive landscape. Overview Analysis Gartner Recommended Reading Notes Gartner ...
... Already a Gartner client? Uneven AI readiness across software engineering, EA, I&O, D&A and security is creating bottlenecks as CIOs try to scale AI enterprisewide. This assessment helps CIOs expose readiness gaps and align execution, platforms, governance and workforce to turn AI ambition into scalable enterprisewide ...
... delivery model, ecosystem-led enterprise integration, and human-in-the-loop autonomy make it the company to beat in physical AI services. Competitors can close the gap by embedding AI, standardizing architectures, streamlining delivery and prioritizing differentiated compression of the integration layer. ...
Analyst(s): Katie Gove | Christian Stephan | Eric Goodness | Arjun Boparai | Jonathan Davenport