Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/5046
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dc.contributor.authorSharma, Somendra-
dc.contributor.authorMakhija, Kuldeep Kaur-
dc.contributor.authorPathak, Aditya-
dc.date.accessioned2025-03-04T09:53:49Z-
dc.date.available2025-03-04T09:53:49Z-
dc.date.issued2025-
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/5046-
dc.descriptionBiosketch: Somendra Sharma Ex - Accenture Game nerd, Al enthusiast and storyteller with deep expertise in strategy consulting, analytics, program management, ERP implementations and on-site execution in the Water Treatment and Oil & Gas sectors | Kuldeep Kaur Makhija Ex - AjnaLens An accomplished Project Manager specializing in successful AR/VR product launches, adept at transforming complex technical requirements into market-ready spatial computing solutions. | Aditya Pathak Ex - Roche | Ex-MuSigma Analytics consultant with - 7 years of experience in data science and analytics, exposure to Fortune 500 clients in diverse industries such as pharma, hospitality, real-estate and FMCG. 12en_US
dc.description.abstractNvidia CEO Jensen Huang, in a recent Q&A session in March 2024, envisioned that video games with real-time content generated by AI are only 5-10 years away. This means that each of the 6-7 million polygons, a standard for modern AAA games, will be generated by deep neural networks 60 times a second on your screen, providing you with a novel experience each time you fire up your gaming device! The technology can prove to be disruptive to the 230-billion-dollar video game industry as generative game engines not only make each playthrough unique but also greatly reduce the game development workload, lowering cost and enabling game studios to focus on the narrative and creative design. While AI can render short videos, the computer resources and accuracy required to generate real-time game-level design and maintain it for the duration of an average gaming session without hallucinations seem unrealistic at best. However, technological innovations continue to surprise us. Days before writing this article, we find that the gaming community’s favorite ultra-violent video game - DOOM, rips and tears once again, with innovation as it becomes the first ‘first-person shooter’ trained on a generative diffusion model GamenGen (pronounced: game-engine). Developed by researchers at Google and Tel Aviv University, it is the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality.en_US
dc.language.isoen_USen_US
dc.publisherMBAEx Magazine Committee, Indian Institute of Management Calcuttaen_US
dc.subjectArtificial intelligence (AI)en_US
dc.subjectTechnological Innovationsen_US
dc.subjectDigital Transformationen_US
dc.titlePixels and Profits: The future of AI-driven gaming marketsen_US
dc.typeArticleen_US
Appears in Collections:Volume 6, January 2025 (6th ed.)

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