Splunk .conf24 Go Seoul
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.
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.
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.
Want to learn more about Mellerikat for Splunk App? Visit the Mellerikat for Splunk page for detailed information on its features and applications.