data integration

Articles tagged data integration on mistr.AI.

• Open MCP Standard Will Break Down Barriers Between Enterprise Applications and Language Models — Remember how complicated it was to connect a printer to a computer before USB became the standard? Something very similar is happening in the world of artificial intelligence. The Model Context Protocol (MCP) technology, which teaches applications to effectively "talk" with language models, is becoming an open global standard under the Linux Foundation. Google is going all in on this innovation, and Czech developers are among its founders. What does this crucial step mean for the future of enterprise data, and why should you care? Find out in this article.
• Czech Startup Raises 73 Million CZK for AI Data Preparation — Young Czech company Boost.space has just secured an investment of 73 million CZK. Its platform helps companies consolidate data from various applications and prepare it for use with artificial intelligence. Its customers include Seznam and Škoda Auto, and it is now targeting the US market. The investment round was led by the Jet Investment fund of entrepreneur Igor Fait.
• How Data Variety Complicates AI Implementation and What to Do About It — Successful AI deployment in companies is often blocked not by technology, but by the data itself. This article reveals why data variety is the key problem, why AI cannot solve it on its own, and how to find an effective path to integration and success.
• AI Agents Need More Than Just Capabilities — They Also Need the Right Connectivity and Governance — AI agents have the potential to transform the way companies automate decisions and processes. Although they can independently handle complex tasks, they frequently run into a traditional IT problem — system silos. What risks and losses does this entail, and how can businesses ensure their AI agents truly function as a team?
• Why Data Variety Is the Main Obstacle to Successful AI Adoption — Almost every company wants to leverage AI, but most are stopped by an unexpected enemy — data variety. Why is this obstacle the most critical for successful digital transformation, and how can the right strategy and the combination of AI with a human approach deliver the desired results?
• The Data Product Manager: Key to Effective Use of Company Data — Companies today are drowning in data, but clear answers are often missing. Why do dashboards fail and how can a data product manager bring real value? Let's show why this role is essential in modern companies – and how it will help you get from your data what you truly need.