3998

The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. about this event: https://c3voc.de

The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. about this event: https://c3voc.de

The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. about this event: https://c3voc.de

The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. The **financial industry** has adopted **AI** and **ML** technologies for various use cases like **Banking** and **HFT**. But they could benefit even more if we can integrate edge computing which will speed up processing and reduce latency. The goal of this talk is to provide insights into the role of Kubernetes and containerization in the deployment and management of AI and ML at the Edge in the finance sector. Key Topics: - Overview of **AI and ML in finance** - Importance of Edge computing in finance - Use cases of AI and ML at the Edge in finance such as fraud detection and High Frequency Trading algorithms - Benefits of AI and ML at the Edge, such as real-time processing - The role of **Kubernetes** and **containerization** in enabling AI and ML at the Edge - Advantages of using **Rancher** for Kubernetes deployment and management The integration of AI and ML at the edge, combined with the use of Kubernetes, has the potential to revolutionize the finance sector. **Rancher-managed Kubernetes** can help financial organizations overcome challenges in adopting AI and ML at the edge and stay ahead in the world of AI and ML. This lightning talk will provide a brief overview of the "Edge for finance sector" and will help attendees understand the need for **Rancher** in managing these **Kubernetes deployments**. It will be valuable for finance professionals who are looking to stay ahead of the curve in AI and ML. about this event: https://c3voc.de