... Access Research Already a Gartner client? Next-generation AI PCs reflect the rapid evolution of local AI solutions in technical and professional enterprise computing. Product leaders should prepare for how high-performance AI processing at the device level will reshape workload execution and competitive ...
Analyst(s): Ben Lee
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... Carbon emissions reached a record high in 2024, forcing product leaders to reevaluate their approaches to sustainability. Product leaders must harness AI for driving business growth and advancing sustainability goals, while proactively managing the risks associated with generative AI. Overview Analysis ...
... Simulation and synthetic data will deliver previously unattainable supercharged Earth intelligence insights by modeling cost-effective, scalable scenarios not possible with traditional methods. Product leaders must invest now to leverage these innovative tools as critical differentiators. Overview Str ...
... U.S. tech service spending could be as much as 19% lower than currently forecast in 2029 if the disruption from the staunch, rapid increases in tariffs persist and deepen. However, the disruption also creates opportunities for tech services leaders to help buyers adapt and transform. Overview Strategic ...
... Geopolitical policy changes will accelerate developments in polyfunctional robots, domain-specific language models and autonomous defense, requiring product leaders to align their portfolios and roadmaps with the evolving global dynamics, including a shift toward techno-nationalism and incorporating ...
... Access Research Already a Gartner client? Escalating AI and high-performance compute energy demand threaten data center scalability and competitiveness. AI infrastructure product leaders must act now and prioritize energy-efficient software optimizations for inferencing to ensure sustainable, cost-eff ...
... Earth intelligence providers have moved beyond imagery and are now positioned as key enablers of growth and transformation for financial analysis, agriculture, risk management and more. Product leaders must demonstrate the value of such use cases to meet diverse customer needs and drive growth. Overv ...
... provider-enterprise value relationships will not drive AI adoption. It is not sufficient to sell an AI tool and expect customers to make it valuable. In the intelligence supercycle, providers and enterprises need to create mutual value by working together to deliver target business outcomes. Overview ...
... Sovereign AI is becoming critical in developing, building and deploying AI securely and at scale. However, the semiconductor giant TSMC represents a single point of failure, located in Taiwan, with no viable alternatives over the next few years. Overview Strategic Planning Assumption Analysis Gartner ...