Meet InfluxDB at Bosch ConnectedWorld 2024

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Unlock the Future of IoT with InfluxDB’s Real-Time Analytics

InfluxDB, known for its exceptional performance in handling time series data, enables efficient data ingestion and rapid, low-latency query responses, making it ideal for modern IoT and IIoT applications.

Join us at Bosch ConnectedWorld 2024, Booth G22, Feb 28-29, to explore how InfluxDB can help you with predictive maintenance, improve overall equipment effectiveness, and reduce downtime.

Schedule and complete a meeting on-site and receive an InfluxDB swag pack.

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Schedule a 1:1 Meeting

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InfluxData will be onsite at Bosch ConnectedWorld, Feb 28-29, 2024.
Stop by our booth G22 to meet with InfluxDB experts.

Stop by and say hello


Pre-event Technical Workshop & Happy Hour

Start the conference by joining us for a half-day workshop and/or happy hour on Tuesday, February 27th, 14h-19h. In a location conveniently located a block from the conference center, come come learn from our technical team with a technical workshop, a customer fireside chat and finish the day unwinding and socializing with industry folks while enjoying a drink and taste some whiskey during a special tasting event. Space is limited, RSVP required.

Learn more & RSVP

Personalized Consultations with InfluxDB Experts

Book a 1:1 session with our InfluxDB experts for an in-depth discussion about your specific use case. This is a unique opportunity to explore tailored solutions and discover strategies to significantly enhance the performance of your systems and applications.

Schedule a Time

InfluxDB Demo: Robot Arm Fault Detection with Machine Learning and InfluxDB

InfluxDB main booth

In the manufacturing sector, it is becoming more critical than ever to provide meaningful insights into shop floor equipment. As manufacturing equipment becomes more complex and the time and cost for maintenance increase, preventing unplanned maintenance is key. In this demo, we use a robotic arm sorting items to showcase real-time monitoring and storage of time series data. Using InfluxDB 3.0 and third-party platforms, we leverage this data to train and deploy machine learning (ML) models that detect and alert engineers of potential faults.

Join us for this interactive demo and discover how InfluxDB can help you build your own predictive maintenance solution.

Giveaways at Our Booth

Come by our booth and discover InfluxDB’s latest innovations—and don’t miss your chance to win one of the fantastic prizes we’re raffling off! Plus, grab a pair of our iconic InfluxDB socks and some custom stickers.

Resources


TECHNICAL PAPER

Why choose a purpose-built time series database?

Details on what makes InfluxDB different from other propose-built solutions and a deep dive into the horizontal use cases that time series data has empowered developers to build. Download Paper

DEMO

Industrial IoT Demonstration

Discover through real-life use cases how companies use InfluxDB in their production-ready environments to support predictive analytics, improve overall equipment effectiveness, and reduce downtime. Watch Demo

RESOURCE

Industrial IoT Analytics

Discover InfluxData's Industrial IoT solutions to enhance efficiency, improve predictive maintenance, and drive innovation in your industry. Learn More

RESOURCE

IoT

See how you can use InfluxDB to collect sensor and device metrics from factories, manufacturing plants, satellites, and smart devices. Learn More

CASE STUDY

Teréga

Teréga leverages InfluxDB to modernize its IT system for enhanced data management. The company utilizes Indabox for secure data collection and IO-Base for cloud-based data processing, improving its real-time data capabilities and operational efficiency. See How

TECHNICAL PAPER

Enabling Predictive Analytics with InfluxDB

Explore how InfluxDB enables predictive analytics, transforming data into actionable insights for proactive decision-making. Read Now

BLOG

Building an AI Anomaly Detection Pipeline with InfluxDB

Learn how to build an AI anomaly detection pipeline using InfluxDB and AWS, enhancing IoT operational efficiency by integrating machine learning models for real-time anomaly monitoring. Read Now

CASE STUDY

Juniz

Juniz Energy utilizes InfluxDB Cloud Dedicated to gather and analyze sensor data from battery storage systems, improving energy consumption analytics, predictive maintenance, and contributing to more efficient use of renewable energy sources. See How

TECHNICAL PAPER

Edge Computing & Data Replication with InfluxDB

Understand how InfluxDB facilitates efficient edge computing and data replication, ensuring real-time data precision and reliable transmission for improved decision-making in IoT environments. Read Now

BLOG

Build an Edge-to-Cloud Architecture Using MQTT and InfluxDB

Key takeaways from InfluxData's webinar on building an edge-to-cloud architecture using MQTT and InfluxDB, featuring expert insights and practical strategies for efficient data handling and analysis in IoT applications Read Now

CASE STUDY

European XFEL

European XFEL uses InfluxDB for monitoring scientific experiments and research, integrating technologies like Telegraf, Grafana, and Python for improved data storage and analysis. Learn More

BLOG

A Guide to Predictive Maintenance & Machine Learning

See how leveraging time series data and AI for proactive machinery maintenance enhances efficiency and reduces operational costs. Read Now

WEBINAR

Building a Hybrid Architecture with InfluxDB

Learn how to build an IoT application using InfluxDB and Telegraf while collecting data from edge devices using an MQTT broker. Watch Now

BLOG

Creating an IoT Data Pipeline Using InfluxDB and AWS

European XFEL uses InfluxDB for monitoring scientific experiments and research, integrating technologies like Telegraf, Grafana, and Python for improved data storage and analysis. Learn More

BLOG

Optimize industrial IoT data with InfluxDB and AWS

Discover strategies to optimize Industrial IoT data management using InfluxDB and AWS, focusing on enhancing data ingestion, storage, and analysis for more efficient and scalable solutions. Learn More

CASE STUDY

Herrenknecht AG

Herrenknecht AG utilizes InfluxDB for IIoT data management, reducing operating costs and improving query response times, ensuring efficient analysis of data from thousands of sensors across their machinery. Read Now

RESOURCE

Modernizing Your Data Historian with InfluxDB

Explore how InfluxDB modernizes data historians, offering a cloud-native time series database that enhances the flexibility and scalability of capturing and storing time series data from industrial operations. Watch Now

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