Arcurve

Last week, members of our team had the pleasure of attending the International Pipeline Conference & Expo. We kicked off the week by presenting a tutorial on “Practical Applications of Machine Learning and Generative AI in Pipeline Engineering”, led by Eric Nosal, Farhad Davaripour, Ph.D., and Shahani Kariyawasam Ph.D., P.Eng. It was inspiring to see so many industry professionals eager to explore the future of AI in pipeline safety and operations. Throughout the conference, we were captivated by insightful technical sessions and exhibitions. Key highlights included innovative work in pipeline safety and integrity. Industry experts shared case studies that provided valuable lessons from the field, which demonstrate the ongoing efforts to enhance risk management. A big thank you to the ASME (The American Society of Mechanical Engineers) for hosting this event. Thank you to the speakers and attendees who connected with us and gave us new ideas throughout the week. We are leaving with a renewed interest in driving innovation in pipeline safety and engineering!

There's still time to register for this informatove webinar featuring Arcurve's very own Mike Morley and Farhad Davaripour, Ph.D. A continuation of our first webinar in the series, in this session, we will explore the research agent in-depth, covering the implementation of Retrieval-Augmented Generation (RAG) with the Neo4j graph (GraphRAG), the agentic workflow streamlined by the LangGraph library, and the steps involved in developing the research agent. We will begin with a brief introduction to the core technologies used in the research agent, including RAG, function calling, and the AI agentic workflow. This session is designed to cater to different levels of expertise with GenAI. All are welcome! Please register here: https://lnkd.in/gr6t6_Rb #yyctech #technology #techcommunity #professionaldevelopment #AI

We recently partnered with a leading Canadian energy company to revolutionize their pipeline integrity assessments. Our solution involved migrating our client’s infrastructure to AWS. We created a unified platform that allows business users to identify when pipes need to be repaired. This allows our client to run their industry-leading threat management algorithms at scale. By leveraging the power of cloud computing, our client completes their assessments up to 50% faster. They can view operational risks sooner, which saves them time and money. This solution aligns with our client’s commitment to safety and sustainability while catalyzing their business development and innovation. The impact: 💰 Readily available field data keeps their project budget and schedules on track 🛠️ Pipeline integrity forecasts ensure that faulty pipes are repaired properly 📈 Transparent, trustworthy data analysis provides confidence in their operational decisions We are proud to deliver software solutions that target the unique challenges in the energy industry. If your business is looking to enable operational efficiency through cutting-edge technology, let’s connect!

At Arcurve, teamwork and community are at the heart of everything we do! Congrats to all the riders who participated in the Cancervive | Ride for Wellspring on September 14th. 🚴♀️🚴♂️ More than $139K was raised to support essential care for individuals and familes living with cancer. 🙌 A heartfelt thank you to all the generous donors 🎗️❤️ #teamwork #community #RideforWellspring #CharityBikeRide

If you're at the International Pipeline Conference & Expo tutorials today and are curious about innovative solutions leveraging AI and ML technologies, this will be a fantastic session to attend!

Several members of our team attended the #ToastSummit at Platform Calgary yesterday. What an incredible community-building event that sparked valuable discussions and takeaways around championing more women in tech. 👏 Thank you, Toast, we're already excited for next year's summit! 🚀 #WomenInTech #Community #YYCTech

The International Pipeline Conference & Expo starts next week at the new BMO Centre! If you're interested in the Monday tutorial sessions, our data experts, Farhad Davaripour, Ph.D., and Eric Nosal, joined by Shahani Kariyawasam Ph.D., P.Eng., from the PRCI - Pipeline Research Council International, will demonstrate a full practical applications overview of Machine Learning and Generative Artificial Intelligence (GenAI). We hope you can join us. Tutorial Details Topic: Practical Applications of Machine Learning and Generative AI in Pipeline Engineering Where: BMO Centre | Calgary When: September 23, 2024 | 1:00pm – 5:00pm (MST) Registration Tutorial: https://hubs.ly/Q02P_MsX0 Conference: https://hubs.ly/Q02P_PnB0 #YYCData #YYCTech #YYCBusiness #GenAI #ML #DataEngineering #PipelineEngineering #Energy #DataAnalytics

There's still time to register for this informatove webinar featuring Arcurve's very own Mike Morley and Farhad Davaripour, Ph.D. A continuation of our first webinar in the series, in this session, we will explore the research agent in-depth, covering the implementation of Retrieval-Augmented Generation (RAG) with the Neo4j graph (GraphRAG), the agentic workflow streamlined by the LangGraph library, and the steps involved in developing the research agent. We will begin with a brief introduction to the core technologies used in the research agent, including RAG, function calling, and the AI agentic workflow. This session is designed to cater to different levels of expertise with GenAI. All are welcome! Please register here: https://lnkd.in/gr6t6_Rb #yyctech #technology #techcommunity #professionaldevelopment #AI

Thank you to Energy Accountants Society of Canada for including us as guest speakers in this year's Education Day. One of our data leaders, Eric Nosal, spoke about the modernization of data in a world where Artificial Intelligence (AI) is increasingly the norm. It was an opportunity to share our expertise on leveraging AI and ML technologies to transform data ecosystems, streamline operations, and promote insight driven decision-making. The key points from the presentation: (1) The Importance of Data Quality: Before considering AI/ML solutions, the data journey begins with ensuring high-quality and clean data, a critical component for meaningful outcomes. Datalakes are a trending solution to this. (2) Predicting The Unpredictable: The path of AI is a process and it may not be entirely predictable. It's important to learn and iterate to mitigate uncertainty. (3) Ethical Considerations in AI: With the exponential growth in the possible with AI, ethics must be top-of-mind to ensure transparency, fairness, and robust data protection. A thank you to the organizers for putting together this insightful day and to the other speakers who brought their own perspectives and insights to the energy conversation. We're looking forward to future collaborations and continuing the conversation around the journey of data. Let's keep pushing the boundaries of what's possible with AI and ML! #yyctech #yycbusiness #datamodernization #ai #genai #machinelearning #datajourney #dataquality #datalake #dataethics

From issue detection to data-driven predictions, AI is enabling pipeline engineers to better manage critical infrastructure and systems. In two weeks, at the International Pipeline Conference & Expo, our Technology Principal of Advanced Analytics, Eric Nosal, and Lead Data Scientist, Farhad Davaripour, Ph.D., will host an in-person tutorial navigating the possibilities of ML and AI technologies through a practical applications approach. Tutorial Details Topic: Practical Applications of Machine Learning and Generative AI in Pipeline Engineering Speakers: Farhad Davaripour, Ph.D. (Arcurve), Eric Nosal (Arcurve), and Shahani Kariyawasam Ph.D., P.Eng. (Pipeline Research Council International) Where: BMO Centre | Calgary When: September 23, 2024 | 1:00pm – 5:00pm (MST) Registration Tutorial: https://hubs.ly/Q02P9qmG0 Conference: https://hubs.ly/Q02P8DjD0 We’re excited to explore this topic together and we look forward to connecting with you there! #YYCData #YYCTech #YYCBusiness #GenAI #ML #DataEngineering #PipelineEngineering #Energy #DataAnalytics