Gerd Eck

🚀 𝐇𝐚𝐢𝐥𝐨 𝐝𝐢𝐠𝐢𝐭𝐚𝐥_𝐡𝐮𝐛: 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐖𝐚𝐬𝐭𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 🚀 Excited to share how the Hailo digital_hub is developing sustainable waste solutions using cutting-edge technologies by leveraging a central Data Lake on AWS and a flexible GraphQL API powered by Microservices and Apollo Federation. With that, the team is transforming commercial waste management. Key highlights: - Data Lake on Amazon S3 for unified data storage and processing - Microservices architecture with GraphQL API for flexible, scalable services - Leveraging AWS services like Lambda, DynamoDB, Athena, and SageMaker - Exploring generative AI with Amazon Bedrock and Amazon QuickSight Q for automated reporting and self-service analytics 🤖 This digital-first approach empowers the Hailo team to better understand waste behavior, provide data-driven solutions, and drive sustainability. 💪 Excited to see how the Hailo digital_hub continues to innovate in the waste management space! 🚮 #Analytics #GenerativeAI #DigitalTransformation #SustainableSolutions Well done, Andreas Eger and Pascal Vogel

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Let´s talk about AI with Qlik Heute und morgen beim Intelligent Automation & Artificial Intelligence (IAAI) Event in Frankfurt. #Qlik #AI #Dataintegration #Dataanalytics Mit Bilal Tizi Olaf Marx & Riley MacDonald

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🔊 Ask-Me-Anything session on Autonomous Finance with Dr. Uli Erxleben (Hypatos) and Andreas Muzzu (EY) 🗓 Save the date: May 8, 5 PM CEST Ask us and learn about the building blocks of Autonomous Finance that bring success to our customers, the future of finance and accounting or anything else that you want to know! Limited slots, book yours today: https://lnkd.in/d4qCmrmt #AutonomousFinance #AI #Hypatos #EY #AMA

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Congratulations to Mercedes-Benz AG! 🚗🌐   Their MO360 Data Platform has won the overall Microsoft Intelligent Manufacturing Award 2024 by Microsoft and Roland Berger. 🎉   This cutting-edge platform, an evolution of the digital production ecosystem MO360, swiftly identifies supply chain bottlenecks and dynamically prioritizes production resources for electric and top-end vehicles. 🚀 Powered by Microsoft Azure, it enables global deployment of #AI and data #analytics while maintaining regional #cybersecurity and compliance standards. 🌐🔒   What makes it stand out? Unlike other industrial data platforms, it achieves rapid digitalization success across all user groups in the complex automotive industry, democratizing data and driving enthusiasm at every level. 🙌   #Factory #Future #autonomous #digitization #Microsoft #Manufacturing #SupplyChain #Azure

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Here is a great and cost-effective way to translate your product data! Especially if you use STEP from Stibo Systems. The cost per translation is almost nothing and the implementation cost will pay off in a couple of months (based on experience from customers). We have implemented this solution on our demo-system and can it show it imediately. Just let me know 😉

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Really looking forward to the #AWS #Manufacturing & Industrial Day in Zurich with the latest insights regarding * Technology trends in Manufacturing & Industrial industry * #GenerativeAI * #SAP in Manufacturing * #Digitalization and #SupplyChain * Product Connectivity * Operational efficiency through digitalization 👉 https://lnkd.in/eCxDdjvz

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What about big data cloud migration? Check out our latest white paper ;)

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The first half of 2024 has been a period of rapid advancements and significant developments in the field of #AI. Here’s a summary of the key trends and insights shaping the AI landscape, from soaring training costs to groundbreaking new technologies and models. Escalating Costs of AI Training Training AI platforms is becoming increasingly expensive, with costs doubling every nine months, as highlighted by research from Epoch AI. This exponential rise in expenses means that training new models could soon exceed $1 billion when accounting for electricity, hardware, and employee compensation. Whether this trend will continue into the next decade remains uncertain. Some analysts predict that data shortages and rising AI chip prices could plateau both costs and performance gains; overall, this cost explosion will make it harder for smaller startups to compete with industry giants. Huge AI Infrastructure Investments at Major Players Microsoft, in collaboration with OpenAI, is developing a supercomputer with an estimated cost of over $100 billion, comprising millions of chips. This project underscores the massive scale and financial commitment required to advance AI infrastructure, with costs significantly surpassing those of modern-day data centers. Similarly, Meta is ramping up its infrastructure investments, planning to spend billions of dollars more on servers and data centers. Meta’s CEO, Mark Zuckerberg, has pointed out that energy constraints are a limiting factor in their data center buildout. Despite these challenges, Meta forecasts 2024 capital expenditures in the range of $35 billion to $40 billion, making it the largest CapEx investment in the company’s history. The Rise of AI Video Technology June 2024 marks a significant milestone for AI video technology, with tools like Sora, Kling, Dream Machine, and Runway’s Gen 3 AI video model gaining traction. These tools are transforming content creation, enabling more sophisticated and efficient video production processes. Open AI: OpenAI’s Latest Model GPT-4o & Preparing for GPT-5 [read more on the blog post] Alphabet’s AI Innovations & Issues with Google’s AI overview [read more on the blog post] AI PCs and New Chip Technologies [read more on the blog post] Global AI Safety Initiatives & Regulation [read more on the blog post] #artificialintelligence #ai #technology #innovation #alphabet #meta #google #openai #ibm #newsletter #microsoft #future #news

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“𝗪𝗲 𝘄𝗮𝗻𝘁 𝗼𝘂𝗿 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝘁𝗼 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻.” ... ... says Jon Lester, IBM VP HR Technology, Data & AI in an interview with Paulina Würminghausen from the Süddeutsche Zeitung. But there is also another coin of the medal. Could companies misuse the information? First of all, as I see the value of #AI, I see the advantages for each employee and for myself. Like scrolling through Netflix, I do get recommendations of the best next learning to grow my skills and career. With all the badges I can earn, it is a little bit like a treasure hunt. But we cannot and should not just rely on the numbers. And average IBMer completed in 2023 👉 87 hours of learning 💪 ! What about those who are below the line? Are they lazy or have already resigned internally? Sometimes, there are other reasons which are not measurable for managers and these can only be revealed in a personal conversation, such as taking care of sick children or parents of if the employee is suffering from an #invisible challenge. This brings me also to a trustful and #ethical way to implement each AI solution as we do with our AI Ethics board to avoid misuse of AI. How do you keep your self up to date at work? What are your preferred learning platforms? Full Article after paywal (It is worth it!) https://lnkd.in/dmsVXskf Picture credits Paulina Würminghausen at the IBM Watson Center Munich #MentalHealthMatters #InclusionMatters #Empathy

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Equinix Digital Leaders Live on June 5 in Zurich on the core topic of #AI and all the infrastructure challenges. We are bringing you Switzerland's digital players to discuss the trends and challenges of this important transformation, share best practices and network. In the panel discussion “The potential of artificial intelligence”, Michael Hutab, CIO Stadler Rail, will exchange his views with Stefan Metzger, CEO digitalswitzerland, and Billy Kneubühl, Country Leader Oracle Switzerland. With keynote by Marc Stampfli, NVIDIA Switzerland. #AIinfrastructure #DigitalLeaders #interconnection #datacenter Register now - join the discussion! 

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How to foster a culture to embrace #AI Panel with Lisa Weinzierl, Tobias Quelle, Vidor Kapy and Marcel Holdener What can we learn from eachother for business excellence and better processes?

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Data First: The Key Building Blocks of a Future-Proof Data Architecture 🧱 Data is the key to a company's future - but what does a good data architecture look like? In practice, I have often seen how innovative data strategies can drive companies forward. But also examples of companies that have fallen behind due to outdated processes. That's why I'm excited about this new article by our data expert and consultant Anja Schroeder. She clearly explains the core components that an architecture should have today. Here's the link to the @BigData-Insider article 👉 https://lnkd.in/eGVC5BWa #data #governance #analytics

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📢 𝐍𝐞𝐰 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐀𝐥𝐞𝐫𝐭! 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐅𝐮𝐫𝐭𝐡𝐞𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐁𝟐𝐁 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐁𝟐𝐂 𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 We’ve extended the #B2BStartupExperimentationFramework (B-SEF) to the B2C domain. 🚀 Congrats to our colleagues Prof. Dr. Carsten H. Hahn, Vili Sotirova Patrick BRECHT Anja Stroebele 🔍 The research is about:  Digital transformation poses challenges for managers, who must navigate new channels and alternative investment decisions. Our #B2BStartupExperimentationFramework (B-SEF) was originally designed for #B2Bstartups, enabling them to discover and validate business model desirability through experiments. In this study, we explore B-SEF’s adaptability to B2C environments. Using criteria like completeness, consistency, plausibility, accuracy, and feasibility, we investigate its effectiveness. Our experimentation rounds focus on online advertising channels in a B2C cosmetic online shop. Key findings reveal that B-SEF’s generic structure works well for B2C experiments, with adjustments to the sales funnel. This research provides entrepreneurs with a practical guide and identifies efficient advertising channels for profitable customer acquisition. #research #business #experimentation #B2C #innovation

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This is a great guide to help understand retrieval performance. If you want to do deeper, happy to get you connected with one of our Architects.

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Automation makes manager satisfied 95% of DACH companies are satisfied with their company's level of automation to date, 29% are even "very" satisfied. 100 and 500 automated processes are the basis for more than half (54%) of these high values. A good nine percent of companies have already automated more than 500 processes, while just under 17 percent have automated between 50 and 100. These are the findings of the latest "Intelligent Process Automation 2024" study. The C-level is the most satisfied with the level of automation, both in IT and beyond: 46% of the relevant decision-makers are "very satisfied". In IT management and the IT department, the figure is only 20 percent. The vast majority of respondents from IT management, IT departments and specialist departments are at least "fairly satisfied" with the current status of automation. End-to-end process automation is comparatively high in the companies surveyed: 21% say it is "very high", 35% say it is "high" and 29% say it is "fairly high". The study also highlights the importance of artificial intelligence in the context of process automation: 73% already use AI methods such as ML, natural language processing or generative AI. It is to be expected that these figures will continue to rise sharply in the short to medium term. #Automation #AI #Cloud #CloudFirst https://lnkd.in/eqxMy7hy

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Is SchwAIz on the way to becoming an AI leader nation? Join us on May 29th when Dalith Steiger, SwissCognitive, Thomas Taroni, Phoenix Technologies AG, Christian Keller, IBM and Richard Zobrist, Red Hat will discuss the current state of AI in Switzerland. The discussion will discuss to what extent Switzerland has already advanced in the field of artificial intelligence, what concerns Swiss companies express in this regard and how open source solutions can help to fully exploit the advantages of AI.

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