... In the wake of unprecedented changes introduced in the first quarter of 2025, markets have paused as enterprises digest these shifts and plan their responses. This pause has lasted through the second quarter and possibly into the third quarter. Product leaders who use this time to reset and restart ...
Analyst(s): Mark McDonald
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... creation is a critical component to succeed in the AI race. AI startups investing in generative modes beyond text are furthering the reach of these technologies while pushing deeper into societal challenges. Product leaders entering and competing in the AI race must embrace three imperatives: outcome-based ...
... investigate opportunities and build roadmaps to fit in the ecosystem for GenAI-enabled design, discovery and optimization of new drug candidates. Overview Strategic Planning Assumptions Analysis Gartner Recommended Reading Note 1: How Generative Models Aid in the Design and Discovery of Drugs and Biologics Note ...
... shift by investing in the simulation, data operations, and modular hardware that enable a scalable and capital-efficient validation factory. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Gartner Insights Abstract ...
... The rapid expansion of AI and generative AI requires significant compute power at both the core and the edge. Product leaders must optimize energy-efficient semiconductors and advanced packaging across data centers, edge, autonomous vehicles, and smart devices to stay competitive in the AI race. Anal ...
... Winning the AI race isn’t just about innovation; it’s about capitalizing on the most disruptive AI use cases to advance enterprise strategy. Product and innovation leaders who don’t take early control of how, when and where to harness these powerful use cases risk falling behind and becoming irrelev ...
... The AI race is reshaping tech economics as rising costs, policy intervention and growing societal backlash force providers to prove measurable business value while competing for control of infrastructure, ecosystems and enterprise outcomes. Analysis Research Highlights Gartner Recommended Reading Evolvi ...
Analyst(s): Errol Rasit | Linglan Wang | Errol Rasit
... Innovation in AI data, engineering and platforms is critical to compete in the AI race. Within this race, only product leaders prepared to enhance domain data with unstructured and synthetic data, embrace AI-driven engineering and operations, and build new AI ecosystems will be positioned to succeed ...
... The escalating AI race presents obstacles and changing conditions for product and services leaders who need more than speed to achieve and maintain a competitive position. They need a strategy that can adapt to a rapidly changing field while maintaining a competitive advantage that meets buyers’ nee ...