AI technologies are rapidly becoming key drivers in revamping industrial processes, heralding a new era of efficiency and innovation. However, despite widespread agreement on the transformative impact of Artificial Intelligence (AI), numerous companies remain hesitant to incorporate these technologies into their operational frameworks. This hesitation often stems from the myriad complexities involved in AI integration, including selecting appropriate algorithms, data management, and system deployment.
To address these challenges and provide insights into effective AI integration, the AI conference organised by Hannover Messe is set to take place on January 22nd in Frankfurt. This event, titled "AI in Industry," is designed as a comprehensive platform for knowledge exchange, offering businesses a chance to explore how AI can enhance their competitiveness in the global market.
The conference structure includes three distinct tracks—Business, Engineering, and Deep Tech—each focusing on specific areas pertinent to AI implementation in industry. Experts from various sectors will share their experiences and strategies, providing participants with real-world examples and best-practice solutions.
In the Engineering track, Plamen Kiradjiev, Head of Solution Architects at German Edge Cloud, will present initiatives on implementing sustainable digitalisation in production processes. Based at Rittal, Kiradjiev focuses on the gradual adoption of a shop floor IT system. This system leverages advanced technologies such as microservices, hybrid cloud, and AI to lay a foundation aimed at facilitating industrial operations for at least the next decade.
The Deep Tech track will feature Albert van Breemen, CEO of VBTI from the Netherlands, who will delve into developing an end-to-end platform optimised for the production process. Van Breemen's presentation will address the specific challenges faced when employing AI in industrial contexts. Attendees will gain insights into selecting the right algorithms, handling data collection and labelling, and deploying models on embedded hardware. His talk will highlight the holistic development of platform architecture designed to overcome these hurdles, incorporating model monitoring and retraining functions, managing versions of data and models, and enhancing the efficiency of AI engineers in project implementation.
The "AI in Industry" conference promises to be a pivotal event for companies seeking to navigate the complexities of AI adoption and integration into their industrial processes. By offering a platform for learning from industry leaders and experts, the conference aims to equip businesses with the tools and knowledge required to stay at the forefront of technological advancement.
Source: Noah Wire Services