... factors are gaining early adopters and will outperform the growth of traditional wrist- and ear-worn wearables. Product leaders must consider the impact of these emerging categories on wearables by understanding their differentiators, roadmaps and adoption of AI. Overview Strategic Planning Assumptions Analysis ...
Analyst(s): Anushree Verma | Evan Brown | Ben Lee | Roger Sheng | Jon Erensen
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... Hyper-synthetic data is creating new opportunities for data science, AI models, and analytics solutions. Product leaders that rely solely on providing or using real data risk losing revenue if they don’t plan for the disruption caused by HSD. Strategic Planning Assumptions Analysis Research Highlights ...
Analyst(s): Vibha Chitkara | Ben Lee | Tuong Nguyen | Kiumarse Zamanian | Nick Ingelbrecht
... The surge in demand for computer vision training data is driving the adoption of hyper-synthetic data (HSD) solutions. Product leaders should capitalize on this emerging AI race opportunity by identifying and integrating high-fidelity spectral imaging innovations into their product roadmaps. Overview ...
Analyst(s): Tuong Nguyen | Kiumarse Zamanian | Nick Ingelbrecht | Vibha Chitkara | Ben Lee
... domain-specific language models (DSLMs) will deliver superior performance and strategic value in the AI race. Product leaders must drive innovation through multimodal solutions and use synthetic data to create high-quality datasets in order to differentiate their DSLMs. Overview Strategic Planning Assumptions Analysis ...
... Hyper-synthetic data enables fast, accurate and cost-effective analysis of simulated behaviors of people without privacy constraints. Product leaders should use verifiable hyper-synthetic data for behavioral intelligence and scenario planning when real data is scarce or restricted. Overview Strategic ...
Analyst(s): Vibha Chitkara | Nick Ingelbrecht | Kiumarse Zamanian | Tuong Nguyen | Ben Lee
... Hyper-synthetic data fuels the evolution and demand for AI. Product leaders relying solely on real data to access forecasting and scenario exploration capabilities will fail to drive differentiation, cost savings and revenue growth that hyper-synthetic data offers. Overview Analysis Gartner Recommended ...
Analyst(s): Vibha Chitkara | Kiumarse Zamanian | Ben Lee | Nick Ingelbrecht | Tuong Nguyen
... AI service providers have invested in core foundational AI techniques and GenAI skills to successfully drive future AI projects and have an AI-driven workforce. AI services leaders should ramp up specialization skill sets such as agentic AI development to lead the next wave of AI innovation. Overview ...
Analyst(s): Annette Jump | Annette Zimmermann | Danielle Casey | George Brocklehurst | Mark Driver
... Hypersynthetic data can reduce the time, risk and cost of training AI models. However, enterprise adoption remains slow due to gaps in readiness and reliability. Product leaders must address these barriers to scale adoption across vision AI, simulation, behavior modeling and decision intelligence use cases. ...
Analyst(s): Tuong Nguyen | Nick Ingelbrecht | Kiumarse Zamanian | Ben Lee | Vibha Chitkara
... privacy, ethical and logistical challenges. Product leaders should embrace hyper-synthetic data to gain deeper insights and predictions, driving innovation in areas where real data about individuals is scarce. Overview Strategic Planning Assumptions Analysis Gartner Recommended Reading Note 1: European New ...
Analyst(s): Vibha Chitkara | Tuong Nguyen | Nick Ingelbrecht | Ben Lee | Kiumarse Zamanian