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Generative AI for Real-World Business Productivity
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- Опубликовано: 15 авг 2024
- For more insights about generative AI, visit: gtnr.it/3QeTBSe
As some of the hype surrounding generative AI settles and we move through the trough of disillusionment, it's time to delve into the real work ahead. In this seventh episode of Top of Mind, Gartner Chief of Research Chris Howard explores tangible and practical applications of GenAI that span industries and key business functions, including marketing, supply chain, finance and legal. Chris discusses how wide-ranging experiments and pilots in these spaces are paving the way for improved productivity and increased adoption of this groundbreaking technology.
Join us and share your experience with GenAI in the comments.
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Thanks Chris. I'm a Gartner employee working in ITLTP in security and risk management. I am working on threat modeling research with part of it being how organizations can understand threats to genAI systems, as well as how to use such systems to create better threat models. It will be interesting to see if organizations can become more security conscious and threat aware using these tools.
Thank Chris, I’m an architect in practice working on generative algorithms for best fitting urban and architectural schemes in design , I’m also working on GIS in urban environments and analytics
Love these videos Chris. I'm an editor following the (generally) technology-reluctant construction industry. But we're reporting on enterprising individuals across AEC finding ways to use generative AI, from design rendering enhancement to pre-construction risk analysis to creating safety briefs. Love to know what you encounter along AEC lines.
Thanks Chris, how about the future of BI Reporting looks like for CIO, CFO and CXO Organisation in the GENAI world...
What makes it productive ? Exactly.
Hi Chris, thanks for your regular update on Generative AI trends. In your earlier video you mentioned that GenAI has reached the top of Gartner Hype cycle and its been tried and adopted by enterprise. Based on your research how the unstructured data is getting prepared for building GenAI apps? In the 2000s and 2010s we saw raise of many ETL tools for injecting batch and streaming data into data warehouse and data lakes. Do you see similar trend of startup working on building ETL tools & products to vectorize unstructured data and inject into vector database? Do you have any research findings of market size and growth potential for unstructured data ETL tool? Would appreciate if you can through some light on above questions
Thanks a lot for your great presentations. I'm really interested in a basic concepto for the senior managers. Generative AI could change completely your individual work: presentations, contents assessment, reports, strategies,... and everything is possible inmediatly for no cost with Chat GPT3.5. To manage this deployment to improve the performance of our managers i's necessary to create a proper framework for the company. It's necessary to create a Etic cope for the company and some internals rules to assure this technology will go in a positive direction. Could someone share any experience about it?