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  <title>CORE SYSTEMS</title>
  <link href="https://core.cz/en/feed.xml" rel="self" type="application/atom+xml"/>
  <link href="https://core.cz/en/" rel="alternate"/>
  <id>https://core.cz/en/</id>
  <updated>2026-04-13T06:26:53+01:00</updated>
  <subtitle>CORE SYSTEMS Technology blog</subtitle>
  <entry>
    <title>Why 40% of Agentic AI Projects Fail — And How to Prevent It</title>
    <link href="https://core.cz/en/blog/2026/agentic-ai-deployment-failures-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/agentic-ai-deployment-failures-2026/</id>
    <updated>2026-04-08T00:00:00+01:00</updated>
    <summary>Analysts estimate 40% of agentic AI projects will be cancelled by end of 2027. The root causes aren't technical — they're organizational. Here's how to prevent it.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>How AI Agents Are Changing Project Management in 2026</title>
    <link href="https://core.cz/en/blog/2026/ai-agenti-projektove-rizeni-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/ai-agenti-projektove-rizeni-2026/</id>
    <updated>2026-04-08T00:00:00+01:00</updated>
    <summary>Practical examples of where AI agents genuinely help in project management — and where a human PM still leads. No marketing fluff.</summary>
    <author><name>CORE Systems</name></author>
  </entry>
  <entry>
    <title>AI in HR and IT talent acquisition in 2026</title>
    <link href="https://core.cz/en/blog/2026/ai-hr-recruitment-it-talent-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/ai-hr-recruitment-it-talent-2026/</id>
    <updated>2026-04-08T00:00:00+01:00</updated>
    <summary>How AI is changing IT talent acquisition in 2026 — from CV screening to retention prediction. A practical view for HR directors and CTOs.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>How AI is changing software development in 2026</title>
    <link href="https://core.cz/en/blog/2026/ai-software-development-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/ai-software-development-2026/</id>
    <updated>2026-04-08T00:00:00+01:00</updated>
    <summary>A practical look at how AI tools are changing the work of developers and CTOs in 2026. What actually works, what are still just promises, and where the real leverage is.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Internal AI Assistant for Your Company Without a Billion-Dollar Budget</title>
    <link href="https://core.cz/en/blog/2026/internal-ai-assistant-company-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/internal-ai-assistant-company-2026/</id>
    <updated>2026-04-08T00:00:00+01:00</updated>
    <summary>How to build an internal AI assistant for your company in 2026 — without a huge budget, without the hype. Real use cases (HR onboarding, internal support, reports), technical foundation, data security, and ROI calculation. Plus: a pilot project in 30 days.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Gemma 4: Google Opens the Multimodal Frontier on Your Own Hardware</title>
    <link href="https://core.cz/en/blog/2026/gemma-4-multimodal-ai-enterprise/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/gemma-4-multimodal-ai-enterprise/</id>
    <updated>2026-04-06T00:00:00+01:00</updated>
    <summary>Google released Gemma 4 — a family of multimodal models with Apache 2 license, support for image, text and audio, and context window up to 256K tokens. What does this mean for enterprise?</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Multi-Agent AI in Enterprise — Chatbots to Autonomous Teams</title>
    <link href="https://core.cz/en/blog/2026/multi-agent-ai-enterprise-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/multi-agent-ai-enterprise-2026/</id>
    <updated>2026-04-06T00:00:00+01:00</updated>
    <summary>Why a single AI agent isn't enough and how multi-agent systems are changing the rules of enterprise automation. Architecture, orchestration, security, and real deployment examples.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Kubernetes Cost Optimization: Save 40–60% on Cloud Infra</title>
    <link href="https://core.cz/en/blog/2026/kubernetes-cost-optimization-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/kubernetes-cost-optimization-2026/</id>
    <updated>2026-02-26T00:00:00+01:00</updated>
    <summary>A practical guide to reducing Kubernetes costs in enterprise environments. Resource requests, autoscaling, spot instances, Goldilocks, Kubecost and FinOps best practices for 2026.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Model Context Protocol (MCP): AI Agents &amp; Enterprise Systems</title>
    <link href="https://core.cz/en/blog/2026/mcp-model-context-protocol-enterprise-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/mcp-model-context-protocol-enterprise-2026/</id>
    <updated>2026-02-26T00:00:00+01:00</updated>
    <summary>MCP from Anthropic is becoming the industry standard for connecting AI agents to enterprise systems. A practical guide to architecture, implementation and security.</summary>
    <author><name>CORE Systems</name></author>
  </entry>
  <entry>
    <title>Enterprise AI Copilot — From Prototype to Production</title>
    <link href="https://core.cz/en/blog/2026/enterprise-ai-copilot-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/enterprise-ai-copilot-2026/</id>
    <updated>2026-02-22T00:00:00+01:00</updated>
    <summary>How to build a custom AI Copilot for enterprise in 2026. A complete guide covering architecture, RAG pipeline, guardrails, security and operations — from prototype to production deployment.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Enterprise AI Copilot: How AI Agents Transform Infrastructure</title>
    <link href="https://core.cz/en/blog/enterprise-ai-copilot-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/enterprise-ai-copilot-2026/</id>
    <updated>2026-02-22T00:00:00+01:00</updated>
    <summary>AI copilot is no longer sci-fi — it is transforming corporate workflows across industries</summary>
    <author><name>CORE Systems</name></author>
  </entry>
  <entry>
    <title>Agentic AI and Security: A New Attack Surface for Enterprises in 2026</title>
    <link href="https://core.cz/en/blog/2026/agentic-ai-security-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/agentic-ai-security-2026/</id>
    <updated>2026-02-21T00:00:00+01:00</updated>
    <summary>48% of security professionals identify agentic AI as the top attack vector for 2026. An analysis of risks — tool poisoning, prompt injection, privilege escalation — and practical recommendations for enterprises.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Platform Engineering: Developer Portal Transforms Enterprise IT</title>
    <link href="https://core.cz/en/blog/2026/platform-engineering-interni-developer-portal-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/platform-engineering-interni-developer-portal-2026/</id>
    <updated>2026-02-21T00:00:00+01:00</updated>
    <summary>Platform Engineering is transforming enterprise IT. Internal Developer Portals (IDP), self-service infrastructure, golden paths and DORA metrics — a complete guide.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>MLOps Pipeline: From Experiment to Reliable ML System</title>
    <link href="https://core.cz/en/blog/2026/mlops-pipeline-production-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/mlops-pipeline-production-2026/</id>
    <updated>2026-02-20T00:00:00+01:00</updated>
    <summary>A practical guide to building MLOps pipelines for production ML systems. Feature store, model registry, CI/CD for models, monitoring and drift detection.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Python in Production: Architecture, Performance &amp; Best Practices</title>
    <link href="https://core.cz/en/blog/2026/python-production-architecture-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/python-production-architecture-2026/</id>
    <updated>2026-02-20T00:00:00+01:00</updated>
    <summary>How to build production-grade Python applications in 2026. Architecture, typing, performance, testing, packaging and deployment best practices.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Real-time Streaming with Apache Kafka and Flink: Architecture for 2026</title>
    <link href="https://core.cz/en/blog/2026/realtime-streaming-kafka-flink-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/realtime-streaming-kafka-flink-2026/</id>
    <updated>2026-02-20T00:00:00+01:00</updated>
    <summary>How to build a production real-time streaming pipeline with Apache Kafka and Apache Flink. Architecture, best practices, monitoring and typical enterprise use cases.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>GraphQL in Enterprise: When It Makes Sense and When to Stick with REST</title>
    <link href="https://core.cz/en/blog/2026/graphql-enterprise-api-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/graphql-enterprise-api-2026/</id>
    <updated>2026-02-19T00:00:00+01:00</updated>
    <summary>GraphQL promises flexible APIs without over-fetching. Where it truly helps in enterprise, where it hurts, and how to deploy it correctly.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>PostgreSQL as Universal Database: Replacing Specialised Systems</title>
    <link href="https://core.cz/en/blog/2026/postgresql-everything-database-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/postgresql-everything-database-2026/</id>
    <updated>2026-02-19T00:00:00+01:00</updated>
    <summary>PostgreSQL in 2026 is more than a relational database. With extensions it replaces MongoDB, Elasticsearch, Redis and vector databases. When it makes sense and where the limits are.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>AIOps and Autonomous Infrastructure — AI-Managed Operations</title>
    <link href="https://core.cz/en/blog/2026/aiops-autonomni-infrastructure/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/aiops-autonomni-infrastructure/</id>
    <updated>2026-02-18T00:00:00+01:00</updated>
    <summary>AIOps in 2026: from reactive monitoring to autonomous infrastructure. Anomaly detection, root cause analysis, auto-remediation and practical implementation for companies.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
  <entry>
    <title>Database Modernization — NewSQL, Distributed DBs and Migration</title>
    <link href="https://core.cz/en/blog/2026/database-modernization-newsql-2026/" rel="alternate"/>
    <id>https://core.cz/en/blog/2026/database-modernization-newsql-2026/</id>
    <updated>2026-02-18T00:00:00+01:00</updated>
    <summary>A complete guide to database modernisation in 2026. NewSQL databases (CockroachDB, YugabyteDB, TiDB), Vitess for MySQL scaling, PostgreSQL 17, migrating from Oracle/MSSQL and practical decision frameworks for enterprise.</summary>
    <author><name>CORE SYSTEMS</name></author>
  </entry>
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