... 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
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... 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
... 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
... 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. Overview Strategic Planning Assumptions Analysis Gartner Recommended Reading Note 1: Why Signposts Are Important Gartner Research ...
Analyst(s): Vibha Chitkara | Tuong Nguyen | Nick Ingelbrecht | Ben Lee | Kiumarse Zamanian
... Access Research Already a Gartner client? Intelligent simulation disrupts existing enterprise decision making and addresses new use cases across industries by uniting emerging technologies with domain expertise. Product leaders should identify opportunities and develop strategies to secure their share ...
Analyst(s): Walker Black | Mark Wah | Ethan Cai | Evan Brown | Stacey Yin
... Addressing capabilities of high importance and low buyer satisfaction presents key opportunities to improve client outcomes and differentiate. Product managers can use Gartner Product Decisions to reveal which master data management capabilities should be prioritized. Data Snapshot Data Insights What Y ...
... Containers and Kubernetes have emerged as prominent platforms for building cloud-native apps and for multicloud enablement. This research answers common client questions around these technologies that enable enterprise architecture and technology innovation leaders to make sound decisions. Overview St ...