Beitrag von Nexxchange

🌟 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗘𝗱𝗴𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗘𝗻𝗱 𝗨𝘀𝗲𝗿𝘀 🌟 In today's highly connected world, the need for faster, more efficient, and secure data processing is more critical than ever. This is where Edge AI comes in. Whether it's smartphones, wearables, autonomous vehicles, or smart home systems, Edge AI is revolutionizing our interaction with technology, delivering a range of benefits that significantly enhance the user experience.  𝟭. 𝗗𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗲𝗱 𝗟𝗮𝘁𝗲𝗻𝗰𝘆  With on-device processing, edge AI drastically reduces latency, offering users rapid response times without delays from data traveling to distant servers. Whether it's real-time decision-making in autonomous vehicles or instantaneous results in smart devices, the experience is seamless and efficient. 𝟮. 𝗗𝗲𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗕𝗮𝗻𝗱𝘄𝗶𝗱𝘁𝗵  By processing data locally, edge AI minimizes the need for data to be transmitted over the internet, preserving bandwidth. This means that networks can handle more data simultaneously, improving overall connectivity and user experience. 𝟯. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀  Edge AI empowers users with real-time data processing directly on devices, eliminating the need for constant system connectivity. This leads to faster insights and more efficient operations, although integration with cloud computing might be necessary for handling larger data volumes. 𝟰. 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗣𝗿𝗶𝘃𝗮𝗰𝘆  Privacy is a growing concern, and edge AI addresses it by processing data locally, reducing the risks associated with data transmission. For industries with strict data sovereignty regulations, this is a game-changer, allowing compliance while maintaining robust data security. 𝟱. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆  Edge AI simplifies scalability by leveraging cloud-based platforms and native edge capabilities in OEM technologies. Even if certain network nodes experience downtime, local networks can continue functioning, ensuring consistent performance. 𝟲. 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗖𝗼𝘀𝘁𝘀  Edge AI is a cost-effective alternative to cloud-hosted AI services. By distributing workloads across edge devices, it reduces the strain on cloud resources, leading to significant cost savings. The autonomous nature of edge AI also reduces the need for constant supervision, cutting down operational costs. Edge AI isn’t just a technological advancement—it’s a revolution in how data is processed, stored, and utilized. For end users, this means faster, more secure, and more cost-effective services, all delivered in real-time. 👉 Want to know more about how edge AI can benefit you or your business? Join our upcoming webinar with Harald (Harry) Kroeger to explore the future of edge AI. Register here: https://lnkd.in/dAii7HAU #EdgeAI #AI #IoT #DataPrivacy #RealTimeAnalytics #Scalability #CostEfficiency #Technology

Want to know what is most talked about by CEOs? Here is the most recent data for Q2 2024 by Philipp Wegner with IoT Analytics - Hot off the Press as of June 26th! 𝐊𝐞𝐲 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬: 𝟏) 𝐀𝐈 𝐊𝐞𝐞𝐩𝐬 𝐆𝐫𝐨𝐰𝐢𝐧𝐠: AI talks grew 5% QoQ, moving it closer to becoming the top boardroom topic, overtaking even inflation. Meanwhile, generative AI sees a decline. 𝟐) 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐑𝐢𝐬𝐞: With a 24% increase in mentions, the focus on AI-driven data center needs grows, alongside soaring discussions on NVIDIA and GPUs. 𝟑) 𝐄𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐋𝐋𝐌𝐬 𝐨𝐟 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭:  Meta's Llama, Cohere's flagship models, and Mistral's offerings are seeing a remarkable rise in mentions as they gain traction over established players. 𝐌𝐲 𝐓𝐚𝐤𝐞:  Boardroom discussions are evolving rapidly with AI and data center strategies becoming central themes. The shift from exploring potential to executing AI-driven solutions indicates a readiness to leverage technology for competitive advantage. CEOs are focusing not just on innovation but also on operational efficiencies and strategic growth. 𝟑 𝐏𝐢𝐞𝐜𝐞𝐬 𝐨𝐟 𝐀𝐝𝐯𝐢𝐜𝐞: 𝟏) 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧:Assess how AI can enhance your products and services, including the deployment of industrial AI applications in areas such as manufacturing and supply chain management. Consider AI's role in future technologies like IoT and its impact on data strategies. 𝟐) 𝐈𝐧𝐯𝐞𝐬𝐭 𝐢𝐧 𝐓𝐚𝐥𝐞𝐧𝐭 𝐚𝐧𝐝 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: Prioritize building a skilled workforce capable of implementing and managing advanced AI applications. Investing in ongoing training will ensure your team keeps pace with technological advancements. 𝟑) 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐋𝐋𝐌 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞: Stay informed about emerging LLM technologies that can bring about competitive advantages and consider their integration into your business processes. 𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐢𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • The analysis highlighted in this article, presents the results of IoT Analytics’ research involving the Q2/2024 earnings calls of ~8,000 US-listed companies. • 𝐗-𝐚𝐱𝐢𝐬:  Keyword importance (i.e., how many companies mentioned the keyword in earnings calls in Q2). The further out the keyword falls on the x-axis the more often the topic was mentioned. • 𝐘-𝐚𝐱𝐢𝐬: Keyword growth (i.e., the increase or decrease in mentions from Q1/2024 to Q2/2024, indexed to 100). A number >100 on the y-axis indicated that the topic had gained importance, while a number <100 indicated a decreased importance. 𝐅𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐧 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/exEZQdmS ******************************************* • Follow #JeffWinterInsights to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

🌟 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗘𝗱𝗴𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗘𝗻𝗱 𝗨𝘀𝗲𝗿𝘀 🌟 In today's highly connected world, the need for faster, more efficient, and secure data processing is more critical than ever. This is where Edge AI comes in. Whether it's smartphones, wearables, autonomous vehicles, or smart home systems, Edge AI is revolutionizing our interaction with technology, delivering a range of benefits that significantly enhance the user experience.  𝟭. 𝗗𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗲𝗱 𝗟𝗮𝘁𝗲𝗻𝗰𝘆  With on-device processing, edge AI drastically reduces latency, offering users rapid response times without delays from data traveling to distant servers. Whether it's real-time decision-making in autonomous vehicles or instantaneous results in smart devices, the experience is seamless and efficient. 𝟮. 𝗗𝗲𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗕𝗮𝗻𝗱𝘄𝗶𝗱𝘁𝗵  By processing data locally, edge AI minimizes the need for data to be transmitted over the internet, preserving bandwidth. This means that networks can handle more data simultaneously, improving overall connectivity and user experience. 𝟯. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀  Edge AI empowers users with real-time data processing directly on devices, eliminating the need for constant system connectivity. This leads to faster insights and more efficient operations, although integration with cloud computing might be necessary for handling larger data volumes. 𝟰. 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗣𝗿𝗶𝘃𝗮𝗰𝘆  Privacy is a growing concern, and edge AI addresses it by processing data locally, reducing the risks associated with data transmission. For industries with strict data sovereignty regulations, this is a game-changer, allowing compliance while maintaining robust data security. 𝟱. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆  Edge AI simplifies scalability by leveraging cloud-based platforms and native edge capabilities in OEM technologies. Even if certain network nodes experience downtime, local networks can continue functioning, ensuring consistent performance. 𝟲. 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗖𝗼𝘀𝘁𝘀  Edge AI is a cost-effective alternative to cloud-hosted AI services. By distributing workloads across edge devices, it reduces the strain on cloud resources, leading to significant cost savings. The autonomous nature of edge AI also reduces the need for constant supervision, cutting down operational costs. Edge AI isn’t just a technological advancement—it’s a revolution in how data is processed, stored, and utilized. For end users, this means faster, more secure, and more cost-effective services, all delivered in real-time. 👉 Want to know more about how edge AI can benefit you or your business? Join our upcoming webinar with Harald (Harry) Kroeger to explore the future of edge AI. Register here: https://lnkd.in/dAii7HAU #EdgeAI #AI #IoT #DataPrivacy #RealTimeAnalytics #Scalability #CostEfficiency #Technology

🇬🇧 𝐉𝐎𝐈𝐍 𝐔𝐒! AmeXio and its partner Fluid Topics look forward to seeing you at the Swiss IT Forum(s) Geneva - 25 & 26 September 2024 (prev LEC Genève), at stand N°IT 37. 𝐂𝐎𝐍𝐅𝐄𝐑𝐄𝐍𝐂𝐄 🗓 Wednesday 26 September at 10.50am Our experts will be leading a groundbreaking conference: AI and Content Delivery: the personalised content revolution. They will be delighted to welcome you and discuss the following topic with you: 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐚𝐩𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐞𝐧𝐬𝐮𝐫𝐞 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬? 𝐘𝐨𝐮 𝐰𝐢𝐥𝐥 𝐥𝐞𝐚𝐫𝐧: - Best practices for implementing Chatbots and AI to facilitate access to useful information for all your employees, partners, or clients. - How to ensure the quality of the reformulations delivered. - The conditions for respecting the user's level of authorization. - How effective solutions facilitate the implementation of these technologies in your company. 🗝𝐈 𝐰𝐨𝐮𝐥𝐝 𝐥𝐢𝐤𝐞 𝐭𝐨 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 : https://lnkd.in/eKxrBMUQ 💡𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐫𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 : https://lnkd.in/dzJPCu5x Contact us to obtain your free badge for access to the show. ______________ 🇫🇷 𝐑𝐄𝐉𝐎𝐈𝐆𝐍𝐄𝐙-𝐍𝐎𝐔𝐒! AmeXio et son partenaire Fluid Topics vous donnent rendez-vous au salon Swiss IT Forum(s) Geneva - 25 & 26 September 2024 (prev LEC Genève) au stand N°IT 37. 𝐂𝐎𝐍𝐅𝐄𝐑𝐄𝐍𝐂𝐄 🗓 Mercredi 26 septembre à 10h50 Nos experts animeront une conférence inédite : IA et Content Delivery : la révolution du contenu personnalisé. Ils seront ravis de vous accueillir et d’échanger avec vous sur le sujet suivant: 𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝐜𝐚𝐩𝐭𝐞𝐫 𝐞𝐭 𝐚𝐬𝐬𝐮𝐫𝐞𝐫 𝐥’𝐢𝐧𝐭é𝐠𝐫𝐢𝐭é 𝐝𝐞 𝐯𝐨𝐬 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬 𝐬𝐭𝐫𝐚𝐭é𝐠𝐢𝐪𝐮𝐞𝐬 ? 𝐕𝐨𝐮𝐬 𝐚𝐩𝐩𝐫𝐞𝐧𝐝𝐫𝐞𝐳 : - Les bonnes pratiques de mise en œuvre des Chatbots et de l’IA qui permettent de faciliter l’accès à l’information utile à tous vos collaborateurs, partenaires ou clients, - Comment garantir la qualité des reformulations délivrées, - Les conditions de respect du niveau d’habilitation de l’utilisateur. - Comment des solutions efficaces facilitent la mise en place de ces technologies dans votre entreprise. 🗝𝐉𝐞 𝐦’𝐢𝐧𝐬𝐜𝐫𝐢𝐬 à 𝐥𝐚 𝐜𝐨𝐧𝐟é𝐫𝐞𝐧𝐜𝐞 : https://lnkd.in/eKxrBMUQ 💡𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐢𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 𝐚𝐮 𝐬𝐚𝐥𝐨𝐧 : https://lnkd.in/dzJPCu5x Contactez-nous pour obtenir votre badge offert d’accès au salon. #AI #IA #ContentIntelligent #b2b #conference #digitaltransformation #connect #networking #forum #IT #suisse #geneve #palexpo #SwissITforum #SITF24

Two busy days on EXPO REAL (Messe München) lie behind us and it's time for a quick recap. The #realestate sector is getting awake - but beside optimisim and rising expectations for 2025, two different perspectives emerge: 1️⃣ "the first/ second followers" starting to build the strategic foundation to apply emerging tech use cases with #AI and #XR, while leveraging best practice approaches and templates, which can already be derived from other innovative industries 2️⃣ "the late adopters" waiting on sector specific AI success stories and related applications for subsequent integration into their IT landscape. After the hustle to rush through all the meetings and to get to the next booth on time, there are three key takeaways: ➡️ The dilemma on how to start emerging tech adoption needs to be resolved: in the given market situation RE companies should have time but are suffering from limited budgets - waiting for better market conditions would allow more easy funding options coming with a lack of dedicated time and ressources. ➡️ Focus is key: gaining a specific market overview on tech and innovation while considering company specific guiding principles to identify suitable AI use cases with low barriers to enter, while also providing measurable business value and operational impact. ➡️ Find the sweet spot: beside the domain of data, property managment with all its operational processes might promise most value-adding results when applying AI and immersive tech. Curious to see how the sector will evolve during upcoming months, while the speed of tech evolution remains high. What's NEW & NEXT for your business? Drop me a comment and let me know... #Deloitte 🟢 #impactthatmatters

On The Vergecast: Everything we saw at Meta Connect, more chaos at OpenAI, and AI gadgets galore.

🚀 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝘄𝗶𝘁𝗵 𝗘𝗱𝗴𝗲 𝗔𝗜: 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝘁 𝘁𝗵𝗲 𝗘𝗱𝗴𝗲 🌐 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗘𝗱𝗴𝗲 𝗔𝗜?  Edge AI is revolutionizing the way we interact with technology by bringing the power of artificial intelligence directly to the devices we use every day. Whether it's a self-driving car, a smart home appliance, or a wearable device, Edge AI enables these technologies to process data locally, right at the "edge" of the network, without constantly relying on cloud infrastructure. This means real-time data processing, faster decision-making, and enhanced privacy—all happening within milliseconds. By combining the strengths of edge computing and AI, Edge AI empowers industries to optimize workflows, automate processes, and innovate like never before. From reducing latency and enhancing security to cutting costs, the benefits are vast, making Edge AI an increasingly popular choice across various sectors. 𝗘𝗱𝗴𝗲 𝗔𝗜 𝘃𝘀. 𝗖𝗹𝗼𝘂𝗱 𝗔𝗜  While cloud AI offers immense processing power and storage, it requires data to be sent to and from the cloud, which can introduce delays—especially in scenarios where every millisecond counts, like autonomous driving. Edge AI, on the other hand, processes data right where it's generated, ensuring rapid responses and minimizing the risks associated with connectivity issues. In today's fast-paced world, where immediate feedback and real-time insights are crucial, Edge AI is proving to be a game-changer. 👉 If you want to know more about Edge AI, join us in the next webinar with Harald (Harry) Kroeger. Register here: https://lnkd.in/dAii7HAU #EdgeAI #AI #EdgeComputing #Innovation #Technology #IoT #RealTimeProcessing #Webinar