Ken Finnigan

If you are in Ocean City next week for #MMLCON24 stop by our booth and chat with me about how Transconomy can quickly develop asset inventories to fuel your transportation asset management program!

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Practical explanation of API’s the next time you are in a buzzword salad meeting… https://lnkd.in/e-HSTwC3

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Video analytics is proving to be game-changer for operational efficiency and organizational observability. Learn how it's delivering measurable results across diverse industries. Get the full report. https://hubs.la/Q02QfyQ20

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Code compliance is table stakes, but true resilience means going the extra mile. Riley Dvorak, P.E.'s article with ARCHITECT Magazine highlights how CMU inherently exceeds base-level safety without additional steps.​ Working smarter, not harder … that’s the Beauty of Block!​ https://lnkd.in/ge9VEzbP

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Struggling with large transactions in distributed databases? Meet Pipelined DML in #TiDB, a breakthrough for handling complex workflows like ETL and data migrations. 👉 Read more: https://hubs.ly/Q02ZZHJ90 Dive into our latest blog to explore why we built it, how it works, and how it’s redefining scalability with a memory-efficient, seamless approach to managing massive workloads. #DistributedSQL #DatabaseInnovation #ETL #datamigration #scalability

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In building robust, scalable distributed systems, it’s tempting to lean on events as a primary abstraction. But are they really the best approach? In this blog post I explore why events often fall short for complex systems and how a reimagined abstraction can simplify development and reduce failures: 👉 Covered topics * The pitfalls of an event-driven approach. * How durable execution offers a better path for distributed architectures. * Why this rethink could simplify and improve your distributed system. If you’re working with distributed systems, this article might just offer the perspective shift you need. #DistributedSystems #SoftwareArchitecture #EDA #Temporal #Rethink

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Today, we recognize International Women in Engineering Day, celebrating the important contributions of women engineers worldwide. Ideagen supports many global organizations that rely on engineers for the safety and sustainability of their operations, including those in aviation and aerospace. We spoke with Jo Field, President of Women in Transport, Sally Longstaff, Safety Analyst at Emirates, and Michelle Low, Senior Regulatory Affairs Engineer and Senior Program Manager at Boeing, who share insights on the current state of diversity in aerospace and aviation. Watch our on-demand webinar as the panel explores what can be done to make the industry more inclusive for women of all backgrounds. #INWED24 #engineering #STEMCareers

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Check out the guest blog by Dan Garvey at PowerRunner about operations data solutions that integrate easily into your existing #datainfrastructure. https://bit.ly/3K2ZQnS

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In our latest episode, we dive into the Crossplane project - a cloud-native control plane framework - with co-creator Jared Watts. We chat about Crossplane's evolution from storage management to a powerful controller, its community-driven journey, the future of IaC, and more. Don't miss out!👇

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Hear from Norwegian Cruise Lines on how they were able to boost their customer strategy and revenue with real time predictive #analytics 🚢 Join us for this 30-minute webinar and discover how to: • Use real-time event stream processing to drive next-best offer success • Optimize campaign offers for maximum impact • Learn best practices to improve conversions and customer satisfaction http://2.sas.com/60425lBxy #ESP #webinar #customerstrategy #predictiveanalytics #analytics

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🍑 All You Need to Know About #GSQL and #Accumulators! 🍑 New to #graphdb but familiar with #SQL? This quick 5-minute guide is your perfect starting point! 🚀 Learning ISO standard #GQL has never been easier. Here’s why you should care: #Accumulators are the secret ingredient that make graph databases a breeze. 🌟 They bring an elegant way to compose complex queries, freeing you from the limitations of #SQL and #Cypher. Take your graph skills to the next level with this essential tool—your graph journey just got a whole lot smoother! 💡 #GraphDB #TechTips

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Interesting blog post! My colleague Paul Parkinson shares how talk about #AI is no longer about potential use cases but how it has progressed to themes like today's development of AI standards in aerospace certification and deployment: https://ow.ly/mrw530sCcTA #WeAreWindRiver

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If you're building AI into your applications, check out how #Dapr's new Conversational API provides a clean architecture for #LLM integration and avoids being locked into a single LLM. Rapidly leverage AI while keeping your apps scalable and portable: https://buff.ly/3CQhoTP 📖

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We live in a data-driven world today, and most enterprises are sitting on a goldmine of information (or even raw data). But like with crude oil, this raw data needs refinement to be truly valuable. Traditional databases (Sqls and NoSQLs), while essential, often struggle to capture the intricate relationships and interconnectedness that lie beneath the surface. This is where graph databases shine, offering a powerful tool to unlock the hidden potential of your enterprise's data. So, why knowledge graphs? Imagine your data as a vast network of interconnected nodes, each representing a piece of information. Graph databases excel at modeling these relationships, allowing you to explore and analyze data in ways that traditional databases simply can't. What about the problem of Disparate/Siloed Systems? One of the biggest challenges facing enterprises is data silos. Information is scattered across different systems (departments), making it difficult to get a complete picture (refer to Conway’s law). Graph databases act as a bridge, connecting these disparate systems and creating a unified view of your data. This interoperability enables you to gain deeper insights and make more informed decisions. Some context on Conway’s law: Conway's Law is a principle in software engineering that states: "Organizations which design systems are constrained to produce designs which are copies of the communication structures of these organizations."   In simpler terms, the way a company is structured and how its teams communicate will directly influence the structure and design of the software systems they create. If a company has silos or communication barriers, the software they produce will likely reflect those silos.   How do Knowledge Graphs support LLMs? For LLms to be useful, they rely on context to provide meaningful results. Graph databases provide the rich context that language models need to understand and respond to queries effectively (Read more about Retrieval Augmented Generation-RAG). By capturing the complex relationships between data points, graph databases help AI systems to be more accurate. Business never sleeps, so how do Knowledge Graphs adapt? As your business evolves, so too will your data. Traditional databases can be rigid, requiring significant effort to accommodate changes. Graph databases, on the other hand, are designed to be flexible. They can easily adapt to new relationships and data structures, ensuring that your technology stack remains relevant as your business grows. Bottom line! Graph databases offer a powerful solution to the challenges of data management in today's enterprises. By connecting disparate systems, providing rich context for AI, and offering unparalleled flexibility, graph databases enable organizations to extract maximum value from their data. If you're looking to understand more on Knowledge Graphs and their practical applications for your enterprise, check out this article by #neo4j #AI

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T minus 4 hours to our first launch week event. Advanced mapping is coming to Flatfile. Making complex rules feel simple isn't easy. Come see how we did it at 10AM PT https://lnkd.in/es5v4uEm

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🎉 Introducing the OpenTelemetry Report. This new report presents insights around OTel's rapid growth, central value, instrumentation, community engagement, and developer traction. Take a look (no form required!): https://bit.ly/3DeAQKb "The widespread enterprise enthusiasm is evidenced by a rapid increase in metrics that show the interest and adoption on the side of app developers, DevOps engineers, platform engineers, and general technologists."

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Joseph George, vice president of product management for BMC Software, joins Michael Vizard to dive into how observability is evolving in the age of artificial intelligence for IT Operations and how AIOps is evolving as a whole. Watch here: https://lnkd.in/egaDNcus #DevOps #AI, #ITSM #observability #AIOps #Tech #IT #ITOperations #Software

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