... Multimodal generative AI models are on the rise, but integrating and executing them is not trivial. Product leaders must gain insights on key challenges like AI data management, analyze use cases and understand new GenAI UX design approaches to maximize the benefits of multimodality. Overview Strategic ...
Analyst(s): Roberta Cozza
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... Access Insights Already a Gartner client? Physical AI products face a growing commercialization barrier as reactive VLAs struggle with environmental change, sensor degradation, and unexpected physical outcomes. C-level executives and product leaders must shift toward world action models that predict ...
... Discover how CSPs can thrive in an AI-powered future. This research offers strategic insights and actions for CSP CIOs/CTIOs to prepare for the four possible CSP 2030 scenarios in the AI era, and seize new opportunities in a rapidly evolving digital landscape. Insights at a Glance Issue Context Impact ...
... Access Insights Already a Gartner client? Improving sales productivity with AI requires more than just adding new technology to existing processes. CSOs must decouple revenue from headcount and focus on the workflows and metrics that drive results. By adopting this strategy, CSOs can transform sales ...
Analyst(s): Betsy Gregory-Hosler | Robert Blaisdell | Dan Gottlieb
... are using the technology daily — in forecasting, in decision making and in how they hold their teams accountable for outcomes. Each C-suite leader, from the CEO to CIO to CFO to CHRO, has a distinct role in turning AI results into permanent organizational change. Build AI accountability at scale across ...
... AIin FinOps tools promises rapid cloud cost savings but poses significant operational risks for organizations lacking AI literacy and cost governance. Cloud architects should build foundational FinOps expertise before safely deploying these GenAI tools, guided by the insights in this document. Overview ...
... supply chains mature in adopting and leveraging AI, empowering employees to experiment and explore with AI is no longer sufficient. CSCOs and supply chain leaders who provide direct guidance on how employees can effectively integrate AI into their work achieve a better ROI on AI investments. Insights ...
... A successful AI strategy demands trust from employees and stakeholders, and confidence in the technology itself. Digital workplace and application leaders should guide without referring to AI as a colleague, easing job fears, and ensuring transparency and clear communication about your AI direction to ...
Analyst(s): Dan Wilson | Rachel O'Farrell | Erin Pierre | Max Goss