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Premium Research Aug 2025
... of proprietary GenAI models. Product leaders who fail to act now risk losing ground to competitors who leverage open models for rapid innovation and market advantage. Overview Analysis Conclusion Gartner Recommended Reading Note 1: Benchmark Considerations Gartner Research ...

Analyst(s):   Mark Driver
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Research Oct 2025
... Access Research Already a Gartner client? CMOs increasingly turn to insourcing to reduce costs, improve efficiency and accelerate time to market, especially with the adoption of technologies like GenAI. But insourcing is complex and high-stakes. To mitigate risk and ensure a winning strategy, CMOs must ...

Analyst(s):   Jay Wilson   |   Lacretia Marsh
Premium Research Jun 2025
... data and privacy breaches. Neglecting confidential AI when handling sensitive data can expose product leaders to IP theft and erode buyer trust and market credibility in the AI race for commercial deployment. Overview Strategic Planning Assumptions Analysis Gartner Recommended Reading Note 1: Confidential ...

Analyst(s):   Gaurav Gupta
Research Nov 2025
... World models are an evolution of three key emerging technology product streams — digital twin, robotics and simulation — that will disrupt current market offerings. Product leaders must adjust technology roadmaps to avoid the risk of obsolescence and protect future revenue streams. Overview Strategic ...

Analyst(s):   Sushovan Mukhopadhyay   |   Ethan Cai   |   Nick Ingelbrecht
Premium Research Jul 2025
... and lower risk. Product leaders should adopt DSLMs for relevant, critical business use cases, such as knowledge management, improving HR, banking and market processes, and optimizing operations. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Gartner Research ...

Analyst(s):   Roberta Cozza   |   Alizeh Khare   |   Kanishka Chauhan   |   Annette Zimmermann   |   Shrish Pant   |   Esha Bhatia   |   Samantha Searle
Premium Research Aug 2025
... Domain-specific language models will disrupt the market, shifting the balance of AI power away from a few giants toward a vibrant, decentralized ecosystem. Product leaders should use this research to harness DSLM power, explore tech innovators and develop strategies to outpace competition in the AI race ...

Analyst(s):   Kanishka Chauhan   |   Samantha Searle   |   Alizeh Khare   |   Esha Bhatia   |   Roberta Cozza   |   Annette Zimmermann
Research Nov 2025
... Access Research Already a Gartner client? Insights on intelligent simulation are often obscured by a complex user experience, which hinders broad market adoption. Product leaders must invest in enhancing the user experience, leveraging AI, and refining domain-specific interfaces to accelerate revenue ...

Analyst(s):   Evan Brown   |   Ray Valdes   |   Walker Black   |   Stacey Yin   |   Ethan Cai   |   Mark Wah   |   Tisha Chaudhuri
Premium Research Oct 2025
... Agentic artificial intelligence is one of the most prominent topics in cloud ERP. However, prioritizing the right use cases among market hype is critical for success. ERP leaders can leverage this assessment to identify opportunities and prioritize investments successfully. Overview How to Use Use-Case ...

Analyst(s):   Robert Anderson   |   Greg Leiter   |   Tomas Kienast
Premium Research Jul 2025
... driven threats. Product leaders must decide when and how to invest in similar AMTD capabilities to improve their solution offerings or risk losing market share in the AI race to competitors who do. Overview Analysis Gartner Recommended Reading Note 1: Patents Gartner Research ...

Analyst(s):   Emerging Tech and Trends Security Research Team
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