2 posts tagged with "Splunk"

Mellerikat and Splunk Enterprise: A Transformative Integration​

Splunk .conf24 Go Seoul, September 24, 2024, Seoul

Mellerikat recently participated in Splunk .conf24 Go Seoul, where we showcased our solutions integrated with Splunk Enterprise. Following the success of Splunk .conf24 in Las Vegas, this event provided another opportunity to share cutting-edge technologies and innovative solutions, garnering significant interest.

During the event, we announced the launch of Mellerikat for Splunk App and conducted sessions highlighting its various use cases. Mellerikat for Splunk App revolutionizes data management through integration with Splunk Enterprise, serving as a powerful tool to maximize enterprise business outcomes.

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Core Features of Mellerikat for Splunk​

Seamless Installation and Integration: Mellerikat for Splunk can be easily installed on Splunk Enterprise, enabling immediate use without complex configurations. This allows organizations of any size, from small businesses to large enterprises, to quickly leverage an MLOps platform integrated with Splunk.

Support for Diverse AI Solutions: Mellerikat’s MLOps platform supports a wide range of AI solutions, facilitating the creation, training, deployment, and optimization of machine learning models within the data analysis process. This enables seamless integration of AI solutions into enterprise operational environments, supporting business problem-solving and data-driven decision-making.

Optimized Resource Utilization for AI Services: Mellerikat for Splunk enables enterprises to create and deploy models using optimal resources, allowing cost-efficient operation of high-performance AI services. Automated resource management reduces the workload on IT teams while fostering an environment focused on generating business value.

Simplified Integration and Data Management: Mellerikat for Splunk acts as an agent, seamlessly connecting Splunk Enterprise with Mellerikat’s model training and inference processes. The two systems exchange data via cloud or local storage, enabling efficient handling of large datasets. This ensures faster and more accurate analysis. Additionally, Splunk Enterprise’s custom commands allow direct transmission of model training data and execution of inference, offering greater flexibility in data processing.

Specialized Domain Data Solutions: Enterprises can easily create and deploy solutions tailored to domain-specific data indexed in Splunk Enterprise. By training models on indexed data and continuously operating them, optimal models can be utilized, maximizing operational efficiency and improving tangible business outcomes.

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Highlighted Use Cases​

Part Similarity Analysis: Identifies similarities between manufacturing parts, offering benefits such as cost reduction, shorter development times, optimized inventory management, and improved quality. By indexing numerous parts data in Splunk and calculating similarity through the solution, it can be utilized for search services or Bill of Materials (BOM) analysis.

B2B Sales Intelligence: Analyzes B2B transaction data to predict sales opportunities and effectively manage leads. By leveraging Splunk’s data integration capabilities and Mellerikat’s AI models, lead scoring enables more effective sales strategies through accurate order predictions.

Environmental Anomaly Detection: Utilizing Splunk Edge Hub, as demonstrated at .conf24, this solution monitors environmental data in real time to detect anomalies. It enables proactive measures in manufacturing or IoT environments by analyzing critical data before issues arise.

These use cases clearly demonstrate the value Mellerikat for Splunk App delivers in real-world scenarios. With sufficient domain-specific data indexed in Splunk Enterprise, new solution models can be deployed and utilized through Mellerikat for Splunk, enabling enterprises to create and leverage highly valuable, business-oriented dashboards.

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Want to learn more about Mellerikat for Splunk App? Visit the Mellerikat for Splunk page for detailed information on its features and applications.

Mellerikat Showcases Innovation at Splunk .conf24​

Splunk .conf24, June 11-14, 2024, Las Vegas

Mellerikat participated in Splunk .conf24 2024, seizing a valuable opportunity to introduce its latest MLOps solutions to a diverse group of customers and partners. At this global technology event, attended by thousands, Mellerikat showcased innovative applications of AI and data analytics through its demo booth, capturing significant interest from attendees.

This year marked our second consecutive year operating a demo booth, making the event even more meaningful. Building on last year’s enthusiastic response, we prepared more advanced demos and in-depth presentations, fostering vibrant interactions with attendees.

At our booth, visitors experienced real-time demos demonstrating how AI-driven data analytics and MLOps solutions can transform enterprise decision-making. Attendees were impressed by Mellerikat’s exceptional technology and its diverse applications, sparking discussions about new business opportunities and potential collaborations.

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Splunk Edge Hub and On-Device AI​

Our booth featured an innovative demo integrating Mellerikat with Splunk Edge Hub. Splunk Edge Hub, a device for collecting sensor data, was enhanced with powerful On-Device AI capabilities through this integration, enabling AI execution directly on the device.

Mellerikat’s MLOps solution enabled the deployment and operation of continuously updated AI models on Splunk Edge Hub. This transformed Splunk Edge Hub into a more robust tool capable of real-time data analysis and inference.

Visitors showed particular interest in two key use cases:

The first use case involved Splunk Edge Hub collecting and analyzing sensor data such as temperature, humidity, and CO2 levels to perform multivariate anomaly detection. The second use case utilized cameras to assess damage on boxes, demonstrating real-time quality control capabilities.

Additionally, Mellerikat showcased the ability to apply and optimize multiple AI solutions on Splunk Edge Hub, tailored to various customer requirements. This maximized the device’s versatility and demonstrated its potential to deliver tangible value to customers.

Attendees at the booth experienced the enhanced potential of Splunk Edge Hub firsthand, generating significant interest and positive feedback.

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A Story That Doesn’t End Here​

The experience at Splunk .conf24 was deeply meaningful for Mellerikat, providing a valuable opportunity to showcase our technological expertise and innovation to a global audience. This event is just the beginning. Moving forward, we will continue to introduce advanced solutions and new technologies through our partnership with Splunk.