test

Read more

test

Read more

Datuum AI, led by Irina, the Vice President of Business Development, presented an exciting solution to data management challenges. Irina acknowledged the difficulties of merging multiple documents into a single file and recognised the costly and time-consuming nature of moving data from one system to another. To address these issues, Datuum AI has developed a no-code platform that automates data merging, saving both time and money for companies and individuals.

Technology

The unique aspect of Datuum AI's platform lies in its utilisation of artificial intelligence (AI) to perform data management tasks. Instead of relying on manual efforts, the AI system identifies and moves data seamlessly to its final destination. This no-code approach ensures that individuals working with data do not need to be data engineers, as the platform covers all the technical aspects. Datuum AI envisions its platform as an autopilot for data, streamlining operations and improving efficiency.

Methodology

While the market for data management tools is crowded, Datuum AI stands out by focusing on non-technical users. Many existing tools cater to developers, leaving a gap for those who need more technical expertise. By providing a user-friendly solution powered by AI, Datuum AI aims to meet the needs of non-technical individuals. Competitors like Anza from Cambridge Semantics and Vida Data operate in the same space. Still, Datuum AI believes its unique combination of AI capabilities and the team's extensive experience in data integration projects sets them apart.

During the Q&A session, Irina addressed inquiries regarding the technical aspects of the solution. She explained that the platform encompasses various models, including machine learning models trained on vast amounts of data. These models perform semantic analysis, enabling them to recognise the meaning of data elements. The AI system identifies names, surnames, and other relevant information, presenting it to the user for verification. Additionally, the platform compares source and destination databases to establish matches and mappings, simplifying the data merging process.

As Datuum AI progresses beyond the minimum viable product (MVP) stage, several companies are already benefiting from its technology. The platform's ability to automate data management tasks with AI assistance positions Datuum AI as an attractive solution for organisations seeking efficient and cost-effective data integration and management solutions.

Innovative start-up Structurescope makes waves with cutting-edge technology that transforms traditional metallurgical tests. Based on digital multi-frequency current non-destructive testing, the company's system determines the physical and chemical properties of materials such as steel, aluminium and titanium alloys. By leveraging electronic companions, software and digital principles, Structurescope has developed an innovative solution that replaces up to 80 percent of traditional metallurgical tests, eliminating the need for time-consuming and manual labour-intensive processes.

Technology

The core of Structurescope's technology lies in its ability to automate and digitise production processes for industrial companies fully. With a focus on increasing digitalisation, the company is integrating AI and machine learning components to reduce the time required for interpreting test results. The interpretation takes approximately 45 minutes, but Structurescope aims to shorten it to five minutes. This significant time reduction will streamline operations and enable faster decision-making for businesses.

To showcase the power of their technology, Structurescope is carrying out an experiment with AI called Stratoscopy G Plus AI in collaboration with the Ukrainian National Academy of Sciences. The company also plans to test Stratoscopy G Plus AI at various industrial sites, including Germany, marking an important milestone in its global expansion efforts.

AI plays a crucial role in Structurescope's non-destructive testing process, as it helps mitigate disturbances caused by factors like temperature variations and measurement errors. The company has developed algorithms that analyse measurement signals and interpret results with the assistance of AI. By leveraging AI capabilities, Structurescope can ensure accurate and reliable data interpretation, which is essential for successful material testing.

Methodology

During the presentation, Structurescope emphasised the importance of data in their system. The company highlighted the significance of amplitude measurement in the fast fans of polyharmonic signals and their intention to leverage AI to interpret this data accurately. Structurescope believes that combining advanced technology and AI-driven analysis will revolutionise material testing and inspection, unlocking new possibilities and driving innovation in the field.

Despite the challenges posed by international travel, Structurescope, hailing from Ukraine, showcased its remarkable dedication by attending the event and presenting its breakthrough technology. The company has already obtained a patent from the United States Patent and Trademark Office (USPTO) for their potential technology in the USA, further solidifying its position as an industry leader.

In the Q&A session that followed the presentation, Structurescope addressed inquiries about the specific characteristics of the materials they analysed. They highlighted their focus on mechanical, physical, and chemical characteristics, emphasising their non-destructive method's wide range of testing possibilities.

Structurescope's non-invasive testing methodology, rooted in both digital processing and quantum physics, is attracting attention for its potential to revolutionise material analysis. The company can reconstruct materials and obtain diverse results by combining robotics, scanning technology, and advanced algorithms. With their relentless pursuit of innovation and dedication to advancing material testing, Structurescope is poised to impact various industries significantly.