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Premium Research May 2024
... Security and risk management technical professionals are looking for ways to add application security practices to their agile and DevOps processes. In this session, we will discuss starting points and how to achieve some early wins on your path to a DevSecOps model that fits your organization. Session ...

Analyst(s):   Greg Harris
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Research Mar 2017
... technology trends. This research presents a model for identifying the technology trends they need to watch and potentially respond to. Key Challenges Introduction Analysis Assess the Potential Impact of a Trend Evaluate the Degree of Maturity of a Trend Determine the Market Dynamics Surrounding the Trend Build ...

Analyst(s):   Samantha Searle   |   David Cearley
Premium Research Sep 2025
... 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
Premium Research May 2025
... Smartglasses, ring and patch form 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. Ove ...

Analyst(s):   Anushree Verma   |   Evan Brown   |   Ben Lee   |   Roger Sheng   |   Jon Erensen
Premium Research Sep 2025
... 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 G ...

Analyst(s):   Vibha Chitkara   |   Ben Lee   |   Tuong Nguyen   |   Kiumarse Zamanian   |   Nick Ingelbrecht
Premium Research Jun 2025
... 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
Premium Research Jun 2025
... 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 ...

Analyst(s):   Esha Bhatia   |   Alizeh Khare   |   Roberta Cozza   |   Annette Zimmermann   |   Kanishka Chauhan
Premium Research Jun 2025
... 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
Premium Research Jun 2025
... 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
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