... 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
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... 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
... 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 us ...
Analyst(s): Tuong Nguyen | Nick Ingelbrecht | Kiumarse Zamanian | Ben Lee | Vibha Chitkara
... Hyper-synthetic data unlocks enormous possibilities for analytics and simulation related to the physical world. Product leaders should leverage generative simulation, scenario testing, digital prototyping and synthetic sensing to drive operational efficiency, accelerate R&D and enhance system design ...
Analyst(s): Kiumarse Zamanian | Ben Lee | Vibha Chitkara | Tuong Nguyen | Nick Ingelbrecht
... Simulated behaviors from AI hyper-synthetic data enable hypothesis testing and analytics for complex scenarios, resolving privacy, ethical and logistical challenges. Product leaders should embrace hyper-synthetic data to gain deeper insights and predictions, driving innovation in areas where real da ...
Analyst(s): Vibha Chitkara | Tuong Nguyen | Nick Ingelbrecht | Ben Lee | Kiumarse Zamanian
... Access Research Already a Gartner client? Integrated and domain-specific synthetic data solutions are emerging as unique opportunities for monetization beyond stand-alone tools. Product leaders should prioritize developing solutions that combine synthetic data generation with value-added offerings to ...
Analyst(s): Nick Ingelbrecht | Ben Lee | Kiumarse Zamanian | Tuong Nguyen | Vibha Chitkara
... AI enterprise application software is projected to be a $1.45 trillion opportunity by 2035, with synthetic-data-enabled solutions expected to represent 76% of projected end-user spend. Product leaders who harness synthetic data will dominate, and laggards risk rapid market loss starting in mid-2030. ...
Analyst(s): Vibha Chitkara | Tuong Nguyen | Nick Ingelbrecht | Ben Lee | Kiumarse Zamanian
... Computer vision technology innovation is evolving extremely fast, propelled by AI, hardware and multimodal developments. Product leaders must adapt to the increase in the speed of technology innovation to offset the risk of product obsolescence. Overview Strategic Planning Assumptions Analysis Gartner R ...
Analyst(s): Nick Ingelbrecht | Tuong Nguyen | Aakanksha Bansal | Alizeh Khare | Bill Ray
... Hyper-synthetic data is the future of data, offering cost-effective alternatives and addressing the limitations of real data. By prioritizing this disruptive trend over the next three years, AI product leaders will achieve faster time to value and lower costs for customers. Overview Strategic Planning ...
Analyst(s): Nick Ingelbrecht | Kiumarse Zamanian | Vibha Chitkara | Tuong Nguyen | Ben Lee