... Access Insights Already a Gartner client? Investment inAI continues to grow, yet much of the value remains stuck in pilots and task-level automation, with activity scaling faster than outcomes. AI alone does not create value; impact requires integrating it into how the operating model works enterprisewide ...
Analyst(s): Diana Sanchez | Caroline Hewings
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... Already a Gartner client? To maintain investment confidence inAI, leaders must provide evidence-based narratives of AI’s business outcome impact rather than just technical milestones. Success involves tracking value evolution throughout the AI life cycle using a structured value framework. By aligning ...
... The rapid pace of certain innovations, such as generative AI, is catching buyers and Tech CEOs off guard. Determining the right time to introduce new features and enhancements to a product portfolio is a major challenge for Tech CEOs. They must consider market conditions and customer readiness when deciding ...
... Gartner Eye on Innovation Awards recognize firms worldwide for their best-in-class technological innovations. Manufacturing CIOs can use these insights to understand how innovations in data and analytics, artificial intelligence, and other areas are changing the industry. Overview Analysis Gartner Recommended ...
... Gartner client? Dell’s depth of product portfolio, breadth of market coverage and clear commitment to the space make Dell the company to beat for OEM AI infrastructure. Competitors can close the gap by having broader buyer coverage and closer integration with leading accelerator suppliers. Overview Analysis ...
... recovery in the segment.” Increased Focus on Generative AI Gartner predicts that by 2024, 40% of enterprise applications will have embedded conversational AI, up from less than 5% in 2020. “Despite economic challenges, business executives in the MENA region are primarily investing ingenerative AI (GenAI ...
... AI’s compressed the startup life cycle, cutting the traditional eight- to 10-year journey shaped by slow enterprise sales and manual development. With AI-driven speed, rapid obsolescence, and evolving investor expectations, tech CEOs face a critical decision window for a successful exit in under four ...
Analyst(s): Mark Wesker | Martin Prendergast | Peter Havart-Simkin
... lacking budget, people and strategy for AI rely on vendors as a primary means to achieve their business and technology goals. This research explains how to resist vendor hype and gain value from vendor partnerships with a structured evaluation in line with AI strategy. Insights at a Glance Impact Actions ...
... Access Insights Already a Gartner client? Retail AI scale is constrained by fragmented legacy architectures and siloed data. To successfully compete in the AI vendor race, product leaders must prioritize high-value use cases and layer GenAI/agentic capabilities onto proven ML workflows to generate repeatable ...