Tech
The Steel Maker, POSCO Opted for Altibase in-Memory Database; its Database Related TCO Decreased by 60%
POSCO, the world’s largest steelmaker had opted for Altibase in-memory database over Oracle to get real-time data from its blast furnaces. Due to this, POSCO’s total cost of ownership reduced by 60 percent. The South-Korean steel maker company went for Altibase to upgrade its IT infrastructure for its aging blast furnaces.
The step was taken by POSCO to get a database to detect any flaws in the inner linings of blast furnaces with the help of analyzing a real-time database. Oracle, Oracle TimesTen, and Altibase were the options available for POSCO to choose one. The company rejected both Oracle and Oracle TimesTen after conducting a series of BMTs due to cost issues. Altibase was selected after taking into consideration its performance, high reliability and a reasonable cost of its service.
POSCO’s free utility, Migration Center helped Altibase to shift its data from different data objects from Oracle in a convenient way. Altibase’s ODBC/JDBC drivers facilitated the integration with various other applications. Due to Altibase’s unique parallel receiver apply technique helped to improve the easy replication of data.
There are several other factors which prompted POSCO to choose Altibase than other options. All-in-one hybrid technology of Altibase was the one reason for the company to go for Altibase. This facilitated the storage and manipulation of data in the main memory only which reduced the total cost of ownership as it prevents the need for POSCO to buy an in-memory and a disk-resident database separately. Altibase, being an open-source helped to reduce the costs of a database for POSCO significantly.
Tech
Evo Tech Reveals New Features for Evolution AI to Improve Threat Detection
Byline: Mae Cornes
MADISON, Wis— Evo Tech announced new updates to its flagship platform, Evolution AI, designed to enhance threat detection and real-time data analysis for intelligence, security, and law enforcement agencies. The upgraded system introduces expanded capabilities in pattern recognition, automated alerts, and data aggregation to improve response accuracy in critical operations.
The company’s latest release focuses on enabling faster identification of potential threats across multiple data streams, including text, imagery, and audio inputs. By combining adaptive machine learning models with advanced verification tools, Evolution AI now provides a more precise and scalable method for detecting irregular or suspicious activity.
“Security challenges are growing more complex as data sources multiply,” said Maria Pulera, Evo Tech’s representative. “Our goal with these new features is to help agencies detect threats earlier and reduce the time between data discovery and action. These tools are built to support real-world decision-making in fast-moving environments.”
Among the new enhancements are:
- Automated Threat Classification: The platform can now categorize potential risks based on severity and relevance, allowing analysts to prioritize investigations more effectively.
- Cross-Platform Data Fusion: Evolution AI aggregates data from both structured and unstructured sources, presenting analysts with unified, real-time insights across visual, audio, and textual inputs.
- Adaptive Anomaly Detection: Using machine learning, the platform learns from historical data to recognize unusual activity patterns and flag potential security concerns automatically.
- Enhanced Visualization Tools: New dashboard designs allow users to view correlations, track trends, and monitor data sources simultaneously with improved clarity.
Evo Tech’s development team designed these upgrades to help intelligence and defense organizations address increasing information volume and data fragmentation. According to industry reports, global data generation is expected to exceed 175 zettabytes annually by 2026, underscoring the need for advanced analytical tools that can handle large-scale, multi-format data securely.
Pulera added, “Our technology aims to reduce the manual burden on analysts while maintaining the highest standards of data integrity. We’ve focused on features that allow agencies to operate more efficiently without compromising security.”
The company’s engineering team also confirmed that Evolution AI’s infrastructure supports deployment in secure, private networks, aligning with the data protection requirements of defense and intelligence clients. Evo Tech plans to continue rolling out additional modules throughout 2025, with a focus on multilingual data analysis and predictive threat modeling.
Evo Tech’s latest updates come as governments and private institutions invest heavily in AI-driven security technologies. Market forecasts from MarketsandMarkets estimate that AI in defense and security applications will surpass $13 billion by 2028, reflecting a growing global emphasis on automation and early threat detection.
About Evo Tech
Evo Tech is an artificial intelligence company specializing in data analysis and intelligence automation for security and defense operations. Its flagship platform, Evolution AI, integrates machine learning, big data processing, and adaptive analytics to enhance decision-making in high-volume, high-security environments. The company’s mission is to deliver reliable, real-time solutions that strengthen operational efficiency and intelligence accuracy across the public and private sectors.
Contact Information:
Maria Pulera, Representative
EVO Tech
https://evoai.tech/
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