CID

🚀 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐍𝐞𝐰𝐬: 𝐖𝐞’𝐫𝐞 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐨 𝐊𝐚𝐭𝐨𝐰𝐢𝐜𝐞! 🌍 We are proud to announce the official opening of our new office in the heart of Katowice, Poland! This expansion marks a significant milestone for CID as a bespoke software company as we aim to attract top talent to join our development teams. We will also expand our software consulting and development services in this vibrant region. To celebrate this event, we had the honor of welcoming Sebastian Kazmierczak as the new Managing Director of our Polish location. We came together at the headquarters in Freigericht to officially launch our activities. The new Katowice office highlights CID’s continued international growth. Our beautiful new office in Katowice will serve as a hub for quickly scaling our activities in Poland. We look forward to making a positive impact on the Polish software landscape! Stay tuned for more updates as we continue to expand our presence! #CID #Expansion #SoftwareDevelopment #Poland #InternationalGrowth #TechTalent #NewOffice #SoftwareConsulting #BespokeSoftware #CIDExpertise #BespokeSoftware #SoftwareEngineering #PlatformEngineering

November is conference season. This year's tagline is "𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞, 𝐀𝐈, 𝐚𝐧𝐝 𝐈𝐓 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐢𝐬 𝐜𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞." ✨ For CID, it started with VMware EXPLORE in Barcelona. During his keynote, Broadcom's CEO, Hock Tan, claimed that the future of software and AI is private. Cost, Complexity, and Compliance are the three Cs that public cloud services impose on their customers. We believe it's hybrid, though. VMware's software supports organizations like some of our clients - and ourselves - to quickly shift workloads from the public cloud to the private cloud and the edge 🌐 and back, spanning development, testing, integration, and production environments. It allows us to leverage the most cost-efficient and performant runtime environment for a task while maintaining data protection, cyber security, and scalability. 🔒 In parallel, our friends at Dell Technologies invited us to share a case study of how to embrace Generative AI and manage related challenges at the CIO Generative AI Summit in Munich. Business requirements inform the appropriate technology solution and operating environment. Given the significant investment required, only a few businesses would want to train and run LLMs privately. Hence, the public cloud is an essential enabler for AI use cases. Retrieval-augmented generation (RAG) and smaller, use case-focused models allow tuning, enrichment, and protection of proprietary information in a private setup. Later in the month, we attended the Dell Technology Forum in Mainz and discussed similar findings: more cloud workloads go private, powered by Dell hardware 💻 and services, and high-end AI chips by Nvidia. Innovative subscription models like APEX enable commercial cloud scalability in the data center. Eventually, we attended the Digital Transformation conference in London. Digital transformation is a critical driver of competitive advantage 🚀, and seamless data flows and application modernization are essential prerequisites. Modern data stacks and cloud-native software enable the desired change, flexibility in operations, and efficient data and AI integration. Bottom line: there's no one-size-fits-all. Better business and IT alignment will lead to better software for digital processes, products, and services. Increasing convergence of infrastructure and applications allows better leverage of the advantages all involved layers and components provide while focusing on the customer or user. 🧩 We're proud our clients chose us to help them with their digital, cloud, and AI transformation journeys. 🌟 #ConferenceSeason #DigitalTransformation #CloudComputing #HybridCloud #PrivateCloud #AIInnovation #GenAI #CIDExpertise #DataIntegration #ITInfrastructure #PlatformEngineering #ModernSoftware #TechLeadership #APEXModel #EdgeComputing #CloudNative #DataStrategy #VMwareExplore #DellTechnologies #CustomerCentric #BespokeSoftware #SoftwareEngineering

🔎 𝐑𝐞𝐜𝐨𝐧𝐜𝐢𝐥𝐢𝐚𝐭𝐢𝐨𝐧 – 𝐕𝐨𝐦 𝐃𝐚𝐭𝐞𝐧𝐜𝐡𝐚𝐨𝐬 𝐳𝐮𝐫 𝐊𝐥𝐚𝐫𝐡𝐞𝐢𝐭 🔍 Datensilos sind eine der größten Hürden für datengetriebene Unternehmen. Nur mit einer hohen Genauigkeit im Umgang mit Daten wird es möglich, KI effektiv einzusetzen, wertvolle Einblicke aus internen und externen Quellen zu gewinnen und zukunftsgerichtete Entscheidungen zu treffen. Jede Quelle hat ihren eigenen Aufbau – seien es E-Commerce-Daten, Patientenakten im Gesundheitswesen oder Finanztransaktionen. Der Weg zu konsistenter Datenqualität ist individuell und erfordert maßgeschneiderte Ansätze. Es liegt also durchaus nahe, professionelle Data-Reconciliation mit einem kleinteiligen Puzzle zu vergleichen. 📌 Ihre Herausforderung – unser Know-how: Mit fast 100 Millionen Knoten in einem Entity Graph und erfolgreich umgesetzten Multi-Modal-Reconciliation-Projekten ist CID Ihr Partner für individuelle Lösungen. 💡 Technologische Anwendungsfälle: • Entity Graphs: Einheitliche Darstellung komplexer Beziehungen. • Data Mesh: Dezentrale Datenwelten harmonisieren. • Data Lakes: Rohdaten strukturieren und Redundanzen vermeiden. 👉 Erfahren Sie mehr von unserem Experten Dr. Jörg Dallmeyer, Technology Evangelist bei CID. 🌐 https://lnkd.in/gGCPTvBQ #DataReconciliation #Datensilos #InnovationThroughData #KI #DataDriven #BusinessSolutions #Ecommerce #Healthcare #FinancialServices #EntityGraphs #DataMesh #DataLakes #CIDExpertise #BespokeSoftware #SoftwareEngineering #PlatformEngineering

🔎 𝐑𝐞𝐜𝐨𝐧𝐜𝐢𝐥𝐢𝐚𝐭𝐢𝐨𝐧 – 𝐅𝐫𝐨𝐦 𝐃𝐚𝐭𝐚 𝐂𝐡𝐚𝐨𝐬 𝐭𝐨 𝐂𝐥𝐚𝐫𝐢𝐭𝐲 🔍 Data silos are one of the biggest obstacles for data-driven companies. Only with precise data handling, businesses can harness AI effectively, extract valuable insights from internal and external sources, and make forward-thinking decisions. Each source has a unique structure - be it e-commerce data, healthcare patient records, or financial transactions. Achieving consistent data quality requires tailored approaches. Unsurprisingly, professional data reconciliation is often likened to solving a detailed puzzle. 📌 Your challenge – our expertise: With nearly 100 million nodes in an entity graph and successfully implemented multi-modal reconciliation projects, CID is your partner for customized solutions. 💡 Technological applications: • Entity Graphs: Unified representation of complex relationships. • Data Mesh: Harmonizing decentralized data ecosystems. • Data Lakes: Structuring raw data and eliminating redundancies. 👉 Learn more from our expert, Dr. Jörg Dallmeyer, Technology Evangelist at CID. 🌐 https://lnkd.in/gXZ6dkJX #DataReconciliation #DataSilos #InnovationThroughData #AI #DataDriven #BusinessSolutions #Ecommerce #Healthcare #FinancialServices #EntityGraphs #DataMesh #DataLakes #CIDExpertise #BespokeSoftware #SoftwareEngineering #PlatformEngineering

🚀 𝐃𝐞𝐫 𝐄𝐔 𝐀𝐈 𝐀𝐜𝐭: 𝐖𝐚𝐬 𝐔𝐧𝐭𝐞𝐫𝐧𝐞𝐡𝐦𝐞𝐧 𝐣𝐞𝐭𝐳𝐭 𝐰𝐢𝐬𝐬𝐞𝐧 𝐦ü𝐬𝐬𝐞𝐧 Künstliche Intelligenz verändert die Industrie. Innovation bringt allerdings auch Regulierung mit sich. Der EU AI Act, der im August 2024 in Kraft getreten ist, führt einen risikobasierten Ansatz ein, der KI-Systeme nach ihrem Einfluss auf Sicherheit, Rechte und Freiheiten kategorisiert. Von der Verbannung von KI mit inakzeptablem Risiko wie Social Scoring bis hin zu strengen Standards für Hochrisiko-KI in Gesundheitswesen oder Strafverfolgung – die Verordnung legt Wert auf Transparenz und Verantwortung. Auch bei begrenztem Risiko, etwa bei Chatbots, gelten Transparenzpflichten ab 2026. 🔍 Warum das wichtig ist: 🔹Nicht-Einhaltung kann zu hohen Strafen führen. 🔹Unternehmen müssen prüfbare, transparente Prozesse umsetzen. Hier kommt MLOps (Machine Learning Operations) ins Spiel. Mit auditierbaren Pipelines, kontinuierlichem Monitoring und automatisierter Berichterstattung unterstützt MLOps die Einhaltung des EU AI Acts und stärkt die Professionalität in der KI-Entwicklung. 💡 Wichtige Erkenntnisse: 🔹KI-Systeme müssen Risikoklassen zugeordnet werden und sich an die entsprechenden Regeln halten. 🔹MLOps bietet Werkzeuge für Transparenz, Monitoring und Compliance. Handeln Sie jetzt, bevor Strafen drohen. 👉 Lesen Sie den Experten-Artikel unserer Technology Evangelists Ruth Schreiber und Dr. Jörg Dallmeyer, und erfahren Sie mehr über den EU AI Act und wie MLOPs dabei helfen kann, dessen Einhaltung sicherzustellen. 🌐 https://lnkd.in/d-vkPdsV #EUAIAct #ArtificialIntelligence #AIGovernance #AICompliance #MachineLearning #MLOps #DataTransparency #AIEthics #AIRegulation #RiskManagement #DigitalTransformation #TechLaw #AIDevelopment #InnovationCompliance #DataGovernance #BespokeSoftware #SoftwareEngineering #CIDExpertise #PlatformEngineering #ZukunftderKI

🚀 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐄𝐔 𝐀𝐈 𝐀𝐜𝐭: 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮𝐫 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐍𝐞𝐞𝐝𝐬 𝐭𝐨 𝐊𝐧𝐨𝐰 Artificial Intelligence is transforming industries, but with innovation comes regulation. The EU AI Act, effective from August 2024, introduces a risk-based framework for AI systems, categorizing them by their potential impact on safety, rights, and freedoms. From prohibiting unacceptable-risk AI like social scoring to imposing strict standards on high-risk AI in healthcare or law enforcement, the Act emphasizes transparency and accountability. Even limited-risk AI, such as chatbots, must comply with transparency obligations by 2026. 🔍 Why it matters: 🔹 Non-compliance could result in severe financial penalties. 🔹 Businesses must prepare by implementing auditable, transparent processes. This is where MLOps (Machine Learning Operations) becomes essential. By ensuring auditable pipelines, continuous monitoring, and automated reporting, MLOps supports compliance and boosts professionalism in AI development. 💡 Key Takeaways: 🔹 AI systems must align with their risk category. 🔹 MLOps provides tools for transparency, monitoring, and compliance. Take action when penalties strike! Learn how MLOps can secure compliance with the EU AI Act while streamlining your workflows. 👉 Read the article on the EU AI Act by our Technology Evangelists Ruth Schreiber and Dr. Jörg Dallmeyer today to stay ahead of the curve. 🌐 https://lnkd.in/dkNW9FfG #EUAIAct #ArtificialIntelligence #AIGovernance #AICompliance #MachineLearning #MLOps #DataTransparency #AIEthics #AIRegulation #RiskManagement #DigitalTransformation #TechLaw #AIDevelopment #InnovationCompliance #DataGovernance #BespokeSoftware #SoftwareEngineering #CIDExpertise #PlatformEngineering #FutureOfAI

✨ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐊𝐈: 𝐀𝐧𝐰𝐞𝐧𝐝𝐮𝐧𝐠𝐞𝐧, 𝐝𝐢𝐞 𝐁𝐫𝐚𝐧𝐜𝐡𝐞𝐧 𝐯𝐞𝐫ä𝐧𝐝𝐞𝐫𝐧 Von intelligenten 🤖 KI-Assistenten bis hin zu automatisierten 🛠️ Copilots – generative KI verändert Branchen und steigert 💼 Produktivität und 🎨 Kreativität. Entdecken Sie ihre Rolle als Denkanstoß-Partner, der Feedback gibt und Innovationen in Geschäftsprozessen fördert. 🔎 Lesen Sie den zweiten Artikel dieser Serie von CID's Technology Evangelist Dr. Björn Buchhold und erfahren Sie mehr: 🌐 https://lnkd.in/gmVkTQ5m #GenerativeKI #ArtificialIntelligence #MachineLearning #KIModelle #ContentCreation #DataScience #PlatformEngineering #NeuralNetworks #LLM #GPT #TechInnovation #FutureOfAI #DigitalTransformation #AITraining #CIDExpertise #BespokeSoftware #SoftwareEngineering #ProductivityBoost #BusinessGrowth #AIApplications #DataInsights #RAG #FutureOfWork

✨ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐔𝐧𝐥𝐞𝐚𝐬𝐡𝐞𝐝 From intelligent 🤖 AI assistants to automated 🛠️ copilots, generative AI reshapes industries by driving 💼 productivity and 🎨 creativity. Discover its role as a thought partner, offering feedback and boosting innovation in business processes. 🔎 Read the second article in this series by CID's Technology Evangelist, Dr. Björn Buchhold, to learn more: 🌐 https://lnkd.in/gUwHeBqx #GenerativeAI #ArtificialIntelligence #MachineLearning #AIModels #ContentCreation #DataScience #PlatformEngineering #NeuralNetworks #LLM #GPT #TechInnovation #FutureOfAI #DigitalTransformation #AITraining #CIDExpertise #BespokeSoftware #SoftwareEngineering #ProductivityBoost #BusinessGrowth #AIApplications #DataInsights #RAG #FutureOfWork

🔍 𝐇𝐚𝐫𝐧𝐞𝐬𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Prompt engineering is transforming how we interact with 🧠 AI, going beyond analysis to enable smarter, customized outputs. From 📝 text generation to 📊 database queries, these techniques bring LLMs to life across industries. 🔎 Discover how CID uses GenAI and prompt engineering to boost ⚙️ productivity. Check out Dr. Jörg Dallmeyer’s latest article: 🌐 https://lnkd.in/dsmyze7d #PromptEngineering #GenerativeAI #ArtificialIntelligence #MachineLearning #ProductivityBoost #TechInnovation #AI #AIinBusiness #DataScience #LLM #TechInsights #CIDExpertise

🔍 𝐃𝐢𝐞 𝐊𝐫𝐚𝐟𝐭 𝐝𝐞𝐬 𝐏𝐫𝐨𝐦𝐩𝐭-𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠𝐬 𝐞𝐧𝐭𝐟𝐞𝐬𝐬𝐞𝐥𝐧 Prompt Engineering transformiert unsere Interaktion mit 🧠 KI und ermöglicht gezielte, intelligente Ausgaben – weit über bloße Analysen hinaus. Von 📝 Textgenerierung bis 📊 Datenbankabfragen: Diese Techniken bringen LLMs branchenübergreifend zur Geltung. Erfahren Sie, wie CID generative KI und Prompt Engineering einsetzt, um die ⚙️ Produktivität der Kunden zu steigern. 🔎 Lesen Sie den neuesten Artikel von Dr. Jörg Dallmeyer: 🌐 https://lnkd.in/dunJmeke #PromptEngineering #GenerativeKI #ArtificialIntelligence #KünstlicheIntelligenz #MachineLearning #ProductivityBoost #TechInnovation #AI #KI #KIimBusiness #DataScience #LLM #TechInsights #CIDExpertise