Nicolas Jambin’s Post

(Generative and even AI in general) AI will be a new area to work on for FinOps topics. Feel free to take a look at our annual technological trend report Technovision to find out more about Generative AI . #genai #getthefutureyouwant #technovision #capgemini #finops

Ahead of our Technovision 2024 release in January, worth reading the teaser attached, which beyond GenAI hot topic, outlines : - the Top 5 Tech Trends to watch in 2024 (i) Generative AI: Small will be the new big, (ii) Quantum Tech: when Cyber meets Quantum, (iii) Semiconductors: Moore's law is not dead but it is changing, (iv) Batteries: the power of new chemistry and (v) Space Tech: addressing the Earth's challenges from outer space. - the Tech Trends beyond 2024 that will shape the next 5 years: low-carbon hydrogen, Carbon Capture, Synthetic Biology.

We have identified a key trend in Generative AI that leans towards deployment on low-footprint installations and smaller enterprise architectures. This shift is backed by #AI platforms seamlessly integrating generative models with Knowledge Graphs, ensuring heightened accessibility and cost-effectiveness. This, in turn, facilitates swift AI scaling in industries, including #FinancialServices. Are you in alignment with this trend? Check out the full press release for a deep dive into the trends that will define 2024: 🚀https://bit.ly/3NsRIzh #TechnoVision2024

Think Big, but Start Focused. Select the right place to start with, then growsmartly on demand. Organizations struggling to get #GenerativeAI initiatives up and running have plenty of magic tricks at their disposal—thanks to the growing #ecosystem of technologies and partners. 🪄 Tap below for the key steps to consider for your AI infrastructure. https://dell.to/3vkWk4M #iwork4dell

In the age of data-driven decision making, businesses must harness the potential of automation, AI, ML, and generative AI to thrive. By adopting micro services architecture, organizations can streamline processes, enhance productivity, and unlock new opportunities in the digital era. Embrace innovation, embrace success.

Are you navigating the AI infrastructure market, and need clarity on how the automation and orchestration of AI/ML workflows at scale can elevate your operational efficiency, enhance productivity, and reduce costs? Download ClearML’s latest survey conducted with the @AI Infrastructure Alliance and @FuriosaAI to understand AI and technology executives’ biggest pain points in moving AI/ML to production. Get your copy here => https://lnkd.in/gG9EcQUQ #ai #enterpriseai #aiinfrastructure #aicompute #LLM #LLMs #LLMOps #gai #genai #generativeai

Have you seen the latest Gen AI global survey & research report from ClearML called “The State of AI Infrastructure at Scale 2024: Unveiling Future Landscapes, Key Insights, and Business Benchmarks?” This comprehensive survey, conducted with FuriosaAI and AI Infrastructure Alliance, asked 1,000 global AI, ML, and GenAI leaders about their organization’s plans to build out AI infrastructure. When asked about challenges in scaling AI for 2024, compute limitations (availability and cost) topped the list, followed by infrastructure issues. Respondents felt they lacked automation or did not have the right systems in place. The biggest concern for deploying generative AI was moving too fast and missing important considerations (in other words, prioritizing the wrong business use cases). The second-ranked concern was moving too slowly due to a lack of ability to execute. There are tons more factoids where those came from! Get your own copy here: https://lnkd.in/epfW93cZ #ai #aiinfrastructure #gpu #gpus #gpucomputing #aicompute #machinelearning #llm #llms #llmops #mlops #orchestration #genai #gai #generativeai

Have you seen the latest Gen AI global survey & research report from ClearML called “The State of AI Infrastructure at Scale 2024: Unveiling Future Landscapes, Key Insights, and Business Benchmarks?” This comprehensive survey, conducted with FuriosaAI and AI Infrastructure Alliance, asked 1,000 global AI, ML, and GenAI leaders about their organization’s plans to build out AI infrastructure. When asked about challenges in scaling AI for 2024, compute limitations (availability and cost) topped the list, followed by infrastructure issues. Respondents felt they lacked automation or did not have the right systems in place. The biggest concern for deploying generative AI was moving too fast and missing important considerations (in other words, prioritizing the wrong business use cases). The second-ranked concern was moving too slowly due to a lack of ability to execute. There are tons more factoids where those came from! Get your copy here: https://lnkd.in/e8x3cAYN #ai #aiinfrastructure #gpu #gpus #gpucomputing #aicompute #machinelearning #llm #llms #llmops #mlops #orchestration #genai #gai #generativeai

#AI is set to disrupt industries in ways we are only beginning to understand. But to realize the full potential of AI, enterprises need to have the right IT infrastructure in place. Download our whitepaper to learn how to design future-ready architecture that will support your AI initiatives: https://okt.to/2Azroj #TheDataMeetingPlace #WhereTomorrowComesTogether #PlatformDIGITAL

To explore the impact of AI technologies on the Business Capability Model (BCM), Chief Enterprise Architects must grasp the problem-solving potential of AI. Check out a model outlining various AI technology types: https://gtnr.it/4dMOGAD #GartnerIT #EnterpriseArchitecture #ArtificialIntelligence #AI