... Access Insights Already a Gartner client? AR must not only bring AI into the heart of its operations, but also into its skill set, evolving into a new kind of AR leader — augmented, confident, credible and capable of driving innovation deep into the business. Analysis Gartner Insights Abstract ...
Analyst(s): John Field | McKenzie Smith
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... SoundHound AI’s announced acquisition of LivePerson, to provide omnichannel capabilities to manage customer experience across voice and digital channels. Customer service leaders working with these vendors must reconcile their fragmented vendor stacks into a single-platform strategy. Insights at a Glance ...
... Access Insights Already a Gartner client? Emerging agentic AI platform vendors are not monetizing services. To scale, product leaders must pivot to one of three strategic paths: providing outcome-as-agentic-service, developing and monetizing in-house services, or establishing a services channel program ...
Analyst(s): Radu Miclaus | Christine Tenneson | Vuk Janosevic
... The U.S. and China host over half of the world’s AI developers and are the only nations with full‑stack AI ecosystems — yet their architectures are bifurcated. AI platform leaders must support both to access distinct innovation, markets, and sovereign AI, or risk marginalization in an increasingly divided ...
... client? Hyper-synthetic data (HSD) is central to the AI race, transforming AI training, forecasting and data analysis by overcoming real data’s shortcomings. Product leaders relying solely on real data will struggle against competitors using HSD to improve AI models, shorten time-to-market, and lower costs ...
... client? AI agents product management is different from traditional SaaS or software. It requires strong focus on ethics, trust and continuous adaptation. This research note outlines five essential AI agents product management principles that help product leaders adapt their mindset, and design AI agents ...
... thinking and AI sycophancy. Sustainable AI value comes from disciplined investments in data quality, governance and talent. Organizations that balance AI innovation with these foundational capabilities will be better positioned to scale AI responsibly and capture long-term business value. AI in Data & Analytics ...
... address valid buyer concerns about LLM accuracy, hallucinations, misinterpreted prompts, and other risks, product leaders must integrate explainable AI into their offerings. This enhances transparency, manages risks, and safeguards product value, while creating essential customer trust. Overview Analysis ...
Analyst(s): Kameron Chao | Bart Willemsen | Jon Dressel
... Gartner client? Zenity’s purpose-built agentic-centric architecture, intent-aware detection and continued end-user interest put it at the forefront of the AI agent governance race. However, competitors who have an existing customer footprint and breadth of integrations can close the gap. Overview Analysis ...
Analyst(s): Lauren Kornutick | Mark Wah | Tarun Rohilla