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CSBP in Australia is using an automated solution developed by Telstra and based on Cumulocity IoT for monitoring farmers’ tank levels to supply farms with the fertiliser they need, when they need it.
With the Cumulocity IoT Microservice Hosting and SDK, developers can easily build and access custom applications and integrations using microservices in Docker® containers hosted by Cumulocity IoT.
Software AG Universal Messaging securely delivers data across different networks, between applications, devices and the IoT. Learn more about this real-time messaging platform.
Discover, measure and analyze your processes to continuously improve them with ARIS Process Mining using process analytics.
Using MashZone NextGen, companies can take data preparation and big data visualization to the next level. See how MashZone NextGen provides immediate insights across your organization. But now, with
Tsalano experiences exponential growth by using custom-built solutions centered on integration, a platform for Internet of Things, and real-time streaming analytics from environmental sensors.
In an era where cloud and on-premises integration need to work seamlessly together, Software AG is replacing webMethods Broker with Universal Messaging. Learn more in this enterprise messaging demo.
This webcast addresses how streaming analytics can deliver business outcomes for your IoT initiatives through the proper design and deployment of edge streaming analytics. For more information visit
Agile Real-Time Deployment of AI, Machine Learning and Predictive Analytics. From machine states to complex process monitoring to environmental analysis, AI, machine learning and predictive analytics
Terracotta DB is a distributed non-relational In-Memory Database platform from Software AG, delivering high-speed performance for combined operational and analytical processing. This session will incl
Watch this video to see how to easily embed AI, machine learning and predictive analytics to score, detect, isolate and respond to fraudulent financial transactions within a few milliseconds.
Predictive Analytics – Deploying to the Edge • Set-up feeds from devices coming from manufacturing equipment • Use historical data and run it through machine learning algorithms to create models base