5 posts tagged with "News"

EVA Showcases Innovation with Multi-Modal LLM-Based AI Services at Cisco Live 2025​

Cisco Live 2025, June 8-12, 2025, San Diego

Mellerikat participated in Cisco Live 2025, seizing a valuable opportunity to present its innovative AI service, Mellerikat EVA, powered by Multi-Modal Large Language Models (LLMs), to global customers and partners. At this premier event focused on networking, security, and AI technologies, Mellerikat showcased a demo featuring a unique architecture that implements cost-efficient AI solutions, earning enthusiastic responses from attendees. As the first major event following Cisco’s acquisition of Splunk, Cisco Live 2025 highlighted the integrated future of AI and data analytics. Mellerikat unveiled a Multi-Modal LLM-based solution combining Mellerikat EVA, Cisco Meraki Camera, and Splunk Instance through its demo booth, demonstrating practical AI applications in industrial settings. Notably, our innovative architecture, which significantly reduces the operational costs of Multi-Modal LLMs, left a lasting impression on attendees.

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Integration of Mellerikat EVA and Meraki Camera with Multi-Modal LLMs​

At our demo booth, we showcased an AI service integrating Mellerikat EVA with Cisco Meraki Camera, powered by Multi-Modal LLMs. This solution detected attendees in real time, identified individuals wearing specific clothing, and triggered alerts. Leveraging the strengths of Multi-Modal LLMs, Mellerikat EVA processed both image (camera data) and text data simultaneously, achieving high-accuracy detection. The results were visualized in real time on a Splunk Instance, vividly demonstrating the solution’s scalability and real-time analytics capabilities.

• Core Scenario: Meraki Camera captures footage, EVA analyzes it to detect individuals wearing specific clothing and generates alerts, with results instantly displayed on a Splunk Instance dashboard.
• Cost Efficiency: Multi-Modal LLMs are often considered costly for commercial use, but Mellerikat’s unique architecture significantly reduces operational costs, greatly enhancing industrial applicability.
• Attendee Response: Attendees highly valued the combination of cost efficiency and real-time analytics, recognizing its practical value across industries such as security, retail, and public safety.

This demo exemplified how Mellerikat EVA integrates Cisco’s network infrastructure and Splunk’s data analytics platform to deliver efficient and powerful AI services.

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Strengthening Technical Partnership with Meraki​

At Cisco Live 2025, discussions with the Cisco Meraki team reinforced the consensus that Mellerikat EVA’s Multi-Modal LLM-based technology is essential for enhancing Meraki’s AI capabilities. The integration of Meraki Camera with EVA was recognized as adding a new dimension of intelligence to network and security solutions through cost-efficient AI services.

• Achievements: Both parties agreed to further integrate Mellerikat EVA into the Meraki platform, solidifying plans for future collaboration.
• Future Outlook: Combining Meraki’s cloud-based network management with Mellerikat’s cost-efficient Multi-Modal LLM technology will enable innovative solutions for industries such as smart buildings, retail, and logistics.

These discussions strengthened the partnership between Mellerikat and Cisco Meraki, significantly expanding opportunities for collaboration in the global market.

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Pyeongtaek Digital Park Case Study: Recognized as a Top CDA Example​

Mellerikat garnered significant attention at Cisco Live 2025 by presenting its Pyeongtaek Digital Park Country Digital Acceleration (CDA) case study. This implementation of Mellerikat EVA in Pyeongtaek enabled real-time monitoring of workers’ safety conditions and immediate decision-making through alert messages, earning recognition as a top CDA case study.

• Case Overview: EVA was deployed at Pyeongtaek Digital Park to monitor worker safety and send instant alert messages, maximizing operational efficiency. The unique architecture significantly reduced the operational costs of Multi-Modal LLMs.
• Attendee Response: Attendees expressed strong interest in EVA’s industrial applicability, particularly in manufacturing, logistics, and smart factories, appreciating its ability to deliver cost savings and high performance simultaneously.

This recognition as a top CDA case study validated Mellerikat EVA’s ability to create tangible value in industrial settings.

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The Beginning of Relentless Innovation​

Cisco Live 2025 was a significant opportunity to showcase Mellerikat’s Multi-Modal LLM-based AI service, EVA, on a global stage. Our ability to implement commercially challenging Multi-Modal LLM technology in a cost-efficient manner through a unique architecture resonated deeply with attendees, leaving a lasting impression. The integration of Mellerikat EVA, Cisco Meraki Camera, and Splunk Instance opened new possibilities for digital transformation, while discussions with Meraki and Splunk laid the foundation for future innovations. This event is just the beginning. Through close partnerships with Cisco and Splunk, Mellerikat will continue to develop cutting-edge AI services that transcend the boundaries of networking, security, and data analytics. The enthusiasm and feedback from attendees at Cisco Live 2025 have inspired us to deliver even greater technology and value moving forward.

Mellerikat Showcased as a Customer Index Platform at Databricks Data Intelligence Day​

Databricks Data Intelligence Day 2025 Seoul, April 29, 2025, Seoul

At the recently held Databricks Data Intelligence Day, Mellerikat introduced its Customer Index Platform, powered by integration with Databricks. This platform seamlessly integrates the entire process from data collection to analysis and AI-driven insights, enabling a deeper understanding of customers and supporting tailored strategic execution.

During the event, Mellerikat emphasized its role as an insight-driven platform that drives tangible business transformation, beyond just an analytics system, capturing significant attention from attendees.

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Customer Index Platform: A New Approach to Quantifying Customer Insights​

Mellerikat’s Customer Index Platform derives various forms of indices based on diverse customer-related data. These indices play a critical role in quantitatively assessing customers' current states and predicting future behaviors or responses.

For example:

• Customer Lifecycle Index: Analyzes the customer’s purchase journey and relationship strength to predict customer lifetime value.
• Conversion Propensity Score: Quantifies the likelihood of a customer taking specific actions (e.g., purchases, applications) based on current behavior and historical data.
• Churn Risk Index: Identifies customers at high risk of churn, enabling early intervention.
• Customer Value Index: Aggregates factors like purchasing power, responsiveness, and loyalty to quantify overall customer value.

These indices are automatically generated by AI models and continuously updated based on real-time data streams.

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Unified Architecture Powered by Databricks Integration​

Mellerikat’s integration with Databricks significantly reduces the complexity of data analysis and AI model operations while ensuring flexibility and scalability.

• Data Integration and Governance: Implemented through Databricks’ Unity Catalog, enabling consistent management of customer data from various sources.
• AI Model Development and Operations: Mellerikat’s proprietary platform automates the creation, training, and real-time operation of predictive models.
• Streaming Analytics: Tracks changes in customer behavior or status in near real-time, enabling immediate application to marketing, CRM, and customer service workflows.

Additionally, the platform supports deploying AI models to edge devices or specific business systems, ensuring effective operation in on-premises or hybrid infrastructure environments.

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Why Mellerikat Stood Out at Databricks Intelligence Day​

Mellerikat went beyond mere technical demonstrations at Databricks Intelligence Day, showcasing how data and AI enable tangible business innovation through real-world case studies.

Key highlights that drew significant attention included:

• Real-world cases predicting and addressing churn rates using index-based customer analysis.
• Improved marketing campaign performance through rapid experimentation and operation of AI models via MLOps.
• Discovering hidden patterns in both structured and unstructured customer data.

These examples demonstrated to attendees that Mellerikat is not just a technology platform but a tool for executing customer-centric strategies.

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Key Features of the Customer Index Platform​

Below is a summary of the core features of Mellerikat’s Customer Index Platform:

Key Feature	Description
Index-Based Analysis Framework	Quantifies customer states with various indices, enhancing the intuitiveness and usability of analysis results.
MLOps Automation	Provides an automated workflow for AI model development, deployment, and operation.
Real-Time Streaming Analytics	Converts incoming customer data into insights instantly.
Edge Compatibility	Deploys models and analysis results directly to where they are needed.
Flexible Architecture	Combines Databricks-based scalability with robust security.

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A New Standard for Data-Driven Customer Strategies​

At Databricks Data Intelligence Day, Mellerikat showcased a platform that combines customer data and AI analytics to enable more precise strategy formulation and execution. Moving forward, the Customer Index Platform is expected to become a cornerstone tool across industries and organizations, driving data-driven decision-making and tangible business outcomes.

"Understanding customers through numbers and translating those numbers into actionable strategies—this is the direction of customer-centric AI proposed by Mellerikat."

Discover the Essence of Mellerikat with Our Exclusive Wallpapers!​

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Enjoy your day with Mellerikat on your PC and mobile devices.

Thank you for always loving Mellerikat. We promise to bring you even better experiences in the future! ❤️

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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.