Scalytics Blog: Read the articles from Dr. Mirko Kaempf

Intelligent Routing for Event-Driven Systems: The Scalytics Connect DLQ Agent

The Scalytics Assist DLQ Agent addresses challenges in regulated data environments by using AI-based routing to manage dead letter queue messages within Kafka-based systems. It comprises containerized agents for message analysis and routing, along with a management system for monitoring. This system ensures traceability and governance through a transparent decision-making pipeline and audit logs. Scalytics Connect provides a secure infrastructure for these operations, maintaining data within enterprise boundaries.

Author:

Dr. Mirko Kaempf

AI-Powered Proposal Intelligence with Scalytics Strategic Proposal Assistant

The Scalytics Strategic Proposal Assistant uses AI to revolutionize responses to client briefs, saving time and improving accuracy. Manual reviews are slow and error-prone; this system delivers extracted requirements, capability matches, risk assessments, and strategic advice in minutes. Powered by the DSO-Agent, it ensures responses are data-driven, transparent, and compliant. Each recommendation includes a trust score, enhancing confidence. Integrating with internal data, it unlocks hidden knowledge. Operating securely, it protects data privacy.

Author:

Dr. Mirko Kaempf

Introducing Scalytics Connect for AI-Ready Streaming

Scalytics Connect is an AI-ready extension for Apache Kafka and Confluent Streaming that transforms standard topics into “smart topics.” It adds CRUD operations, custom indexing, and continuous analytics while preserving Kafka’s familiar model. Teams can track message flow in real time, analyze payload content, and forecast resource utilization through autodiscovery. The Model Context Protocol (MCP) further integrates AI agents directly into the streaming layer, reducing the need for extra ML pipelines. This combination streamlines data management, shortens time-to-insight, and supports product launches, compliance, and predictive planning—all within a single, scalable environment.

Author:

Dr. Mirko Kaempf

The Architecture Behind Our Distributed Agentic RAG Framework

Scalytics Connect, our MCP platform, is designed to deliver secure, scalable, and compliant data processing for modern organizations. By keeping sensitive data locked at its source and leveraging technologies like Python, Kafka, and Wayang, it enables real-time analytics while maintaining strict data security and compliance. Whether you’re processing financial data, industrial metrics, or healthcare information, Scalytics Connect ensures reliable and efficient results without compromising sensitive information.

Author:

Dr. Mirko Kaempf

Why Agentic RAG Is the Next Big Thing in AI

Agentic RAG systems, built on the Agent Context Protocol (ACP), enable secure and collaborative AI workloads. ACP expands upon the Model Context Protocol (MCP) by adding a data firewall with governance, access control, and auditability layers. This allows decentralized agent communication, broad access to tools and data, and reliable operation within containerized environments.

Author:

Dr. Mirko Kaempf

AI That Works for You: Scalytics Partner Program

The Scalytics Partner Program empowers ISVs and MSPs to deliver secure, scalable AI solutions with decentralized data processing. Overcome data silos, reduce cloud costs, and ensure compliance with GDPR and HIPAA while enabling enterprise AI adoption. Be an early mover in AI enablement and unlock new revenue opportunities with Scalytics Connect, the industry’s leading federated learning platform.

Author:

Dr. Mirko Kaempf

Shift-Left Architecture: A Decentralized Approach to Data Management (Part 2)

In our previous blog post, "The AI Problem: Data Silos and the Mantra of Centralization," we explored the persistent challenges organizations face with traditional data management approaches, particularly the issues of data silos and the inefficiencies of centralized systems. Building on that foundation, this post delves into the "Shift-Left Architecture," a contemporary approach to data management that emphasizes bringing algorithms directly to the data rather than moving the data itself.

Author:

Dr. Mirko Kaempf

Why Centralized Data Systems Fail AI: The Future Beyond Data Silos (Part 1)

Traditional methods like data lakes and warehouses fall short, especially when it comes to global approaches, to provide data privacy and compliance. Scalytics Connect offers a decentralized solution, focusing on real-time data processing and AI-readiness without the need for extensive data movement. IN this first part Mirko discusses the status of data right now, and why LLM fail to convince their use for enterprise operations.

Author:

Dr. Mirko Kaempf

Are you still migrating or are you already training your AI?

The latest AI Hype Cycle report from Gartner underscores the growing significance of AI engineering, ModelOps/DataOps, and AI-ready data. While Apache Hadoop transformed data management, the advent of cloud data platforms has resulted in the emergence of new data silos. Federated learning and Edge AI provide a solution to this problem. By maintaining data in a local repository and processing it at the edge, we can address challenges related to data movement costs and privacy concerns. Scalytics' platform, built on these principles, allows users to leverage diverse data sources while maintaining the highest standards of security and compliance. Our solution provides the tools you need to train AI models across distributed systems, driving innovation and ensuring your data strategy is future-proof.

Author:

Dr. Mirko Kaempf