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𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴𝗹𝘆 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝗺𝗼𝗿𝗲 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹𝗹𝘆 𝘃𝗶𝗮𝗯𝗹𝗲? 𝗪𝗲 𝗲𝗺𝗯𝗿𝗮𝗰𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝘁 𝘁𝗵𝗲 𝗲𝗱𝗴𝗲 𝗳𝗼𝗿 𝗜𝗼𝗧!     Our latest blog post examines the shift from the cloud to the edge. It’s all down to the convergence of generative AI (Gen AI) and edge computing, the beginning of a new era for IoT. Capgemini Invent’s Jeff Hebert EVP, Global Head of Intelligent Products and Services and Kary Bheemaiah VP, Chief Technology and Innovation Officer (CTIO) highlight the key trends shaping this revolution.    𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: • Smaller language models on edge devices reduce costs without sacrificing functionality • Gen AI at the edge enables next-gen applications, enhancing both user interfaces and actionable outcomes • Edge-specific data collection offers unique opportunities for competitive advantage   Read more in our new blog: 𝗚𝗲𝗻 𝗔𝗜 𝗮𝘁 𝘁𝗵𝗲 𝗲𝗱𝗴𝗲: 𝗛𝗮𝗿𝗻𝗲𝘀𝘀𝗶𝗻𝗴 𝗚𝗲𝗻 𝗔𝗜 𝗮𝘁 𝘁𝗵𝗲 𝗲𝗱𝗴𝗲 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗮 𝗻𝗲𝘄 𝗜𝗼𝗧 𝗲𝗿𝗮 𝘄𝗶𝘁𝗵 𝗹𝗼𝘄𝗲𝗿 𝗰𝗼𝘀𝘁𝘀 https://bit.ly/3XQFUwn   By harnessing Gen AI at the edge, companies can deliver superior products, optimize costs, and stay ahead in the competitive landscape.    #AI #GenAI #EdgeComputing #IoT

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Joe Skopek

Creative Technologist: Velocity Ascent, Co-Founder: The Copernicus Project, AI pragmatist

1mo

Great post, is it safe to say the biggest challenge facing edge computing is managing data security and privacy? Processing sensitive data closer to the source, often outside centralized data centers, increases the risk of cyberattacks and data breaches. IMHO Ensuring robust security measures and compliance across various devices and networks is critical to its widespread adoption.

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