Unleashing the Power of AI in IoT

In the rapidly evolving IoT landscape, integrating disparate platforms to harness real-time insights remains a challenge. Many professionals grapple with the complexities of infrastructure setup, data streaming, and achieving cost-efficient scalability. How can one seamlessly merge the capabilities of leading platforms like HiveMQ Cloud and InfluxDB 3.0 to create robust, AI-powered IoT solutions? Watch our on-demand webinar to discover the answer and stay ahead in the IoT game.

Key Takeaways From this On-Demand Webinar:

• Learn how to create an AI-powered solution tailored for IoT applications using platforms like HiveMQ Cloud, InfluxDB 3.0, and Quix.
• Discover how the robustness of HiveMQ Cloud, a fully-managed MQTT broker and its capabilities in ensuring reliable, scalable, and secure IoT messaging, helps in quickly building an AI-powered IoT solution.
• Explore how Quix simplifies complex event processing, allowing developers to focus on coding without the hassle of infrastructure setup, accelerating the application development.
• Unearth the advancements in time series data management with InfluxDB 3.0 Cloud Serverless, and how its features like data compression, native SQL support, and lightning-fast queries, can help with real-time data analytics of an application.

Who Should Watch this On-Demand Webinar:

• IoT Developers and Engineers
• Data Scientists and Analysts
• Solution Architects
• Tech Enthusiasts keen on exploring the latest in IoT and AI

Contents of the On-Demand Webinar:

• 00:00 – Introduction
• 03:09 – What are Data Pipelines?
• 04:26 – Piping with MQTT and Pub/Sub
• 07:26 – Insight into Time Series Data and Database
• 13:16 – Role of InfluxDB
• 15:15 – Integrating Data Pipelines in Application Architecture
• 16:43 – How to leverage Quix for creating an AI-powered IoT Application
• 17:42 – Real-world use case discussion using Anomaly Detection as an example
• 22:28 – Technical demo of the use case
• 34:55 – Addressing the challenges faced in real-world IIoT scenarios
• 46:09 – Summary and Next Steps
• 54:58 – Q&A

About the Speakers

Brian Gilmore is VP of Community & Advocacy at HiveMQ. He has focused the last decade of his career on working with organizations around the world to drive the unification of industrial and enterprise IoT with machine learning, cloud, and other truly transformational technology trends. Notably, in his previous leadership roles at InfluxData and Splunk, Brian spearheaded advanced IoT integration initiatives and was focused on fostering IoT developer relations and developer communities.

 

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Brian Gilmore on LinkedIn

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Jay Clifford is a Developer Advocate for InfluxData. Before joining InfluxData he previously specialized in solving industrial pain points using Vision AI and OT connectivity. Jay now uses his experience within the IoT and automation sector to enable developers and industrial customers alike to realize the potential of Time Series data and analytics.

 

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Jay Clifford on LinkedIn