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RapidMiner Partners with Hivecell to Enable Real-Time AI at the Edge

Partnership drives the Industry 4.0 revolution to the edge

RapidMiner, a data science platform enabling data loving people of all skill levels to rapidly create and operate enterprise artificial intelligence (AI) solutions for maximum business impact, today announced a partnership with Hivecell, the Edge-as-a-Service company, to allow users to rapidly create and operate models with streaming data from the edge.
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“Hivecell allows data scientists to store and crunch data on-premise and deploy that data instantly, with an ultimate goal of pushing computing to the true edge, which is wherever our users happen to be”

Hivecell is the premiere Platform-as-a-Service for edge computing, offering simple, scalable solutions that take the compute power out of the cloud and place it at the true edge. Edge computing solves the latency and delay problems that occur when organizations rely solely on the cloud, enabling businesses to deploy compute power to thousands of locations outside of data centers. Hivecell takes computer power to the next level with stackable units at edge sites that collect the data generated from Internet-connected devices and process it on-site, only sending relevant data back to the cloud.

“There is a massive need for the ability to execute machine learning at the edge, especially under rugged conditions where it may be difficult to connect to central data centers or where comms costs are prohibitive,” said Fred Gedling VP of Corporate Development at RapidMiner. “Whether on a factory floor, at the point of sale, underground or at sea, intelligence at the true edge becomes real. By partnering with Hivecell, our users will now be able to use models built with the RapidMiner platform to enable AI-optimized decision-making wherever needed.”

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With this integration, the RapidMiner platform can be easily integrated into the Hivecell architecture, allowing Hivecell users to pool together data and build models centrally. These RapidMiner models are then pushed back out to the units at the edge for swift implementation and execution, guiding effective device- and location-specific decision making. Hivecell and RapidMiner together create a true Artificial Intelligence of Things (AIoT) edge solution.

“Hivecell allows data scientists to store and crunch data on-premise and deploy that data instantly, with an ultimate goal of pushing computing to the true edge, which is wherever our users happen to be,” said Jeffrey Ricker, co-founder and CEO of Hivecell. “We’re excited to partner with RapidMiner so that our users can also run and execute machine learning models on-site, allowing them to make predictions and execute solutions swiftly without the need of a large technical team.”

For businesses in environmentally intensive industries, AIoT solutions offer unique benefits to address the challenges of operating in such conditions:

  • Lower operating costs: AIoT enables smarter, proactive repair of field and production equipment at lower risk with less production downtime.
  • Reduced risk: Using AIoT to improve product quality and production processes reduces the risk of product failure and health, safety and environmental liabilities.
  • Better customer experience: Greater reliability of products and service networks created by AIoT makes for a better customer experience and happier, more loyal customers.
  • Increased revenue: Improving product design by using AIoT to understand usage, predict and prevent problems drives greater demand from the market and higher revenues.

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