The directions AI developing companies are working on.

Blog

Where AI solutions are driving the industry future? The directions AI developing companies are working on

Online International Industry Engagement Workshop on Artificial Intelligence Results

The first Online International Industry Engagement Workshop on Artificial Intelligence (AI) brought together experts, industry leaders, and academic professionals to discuss the latest advancements, applications, and challenges in AI. This dynamic event provided a platform for sharing knowledge, presenting innovative solutions, and fostering collaborations across various sectors.

Engaging Presentations – The workshop featured presentations from SMEs and the MERIT project. These sessions highlighted innovative AI solutions and their transformative impact across various industries. The speakers, representing diverse sectors and regions, shared their expertise on leveraging AI technologies to drive efficiency, enhance decision-making, and foster digital transformation. From exploring the latest trends in generative AI to discussing the practical applications of AI in robotics and labour markets, these presentations provided valuable insights into the cutting-edge advancements shaping the future of AI.

A series of insightful presentations from leading AI practitioners were featured. It seems the biggest attention in industry now is dedicated to generative AI (GenAI), incorporating the Large Language Models (LLM) and benefits of Multi Agent Systems (MAS).

GenAI and the Latest Trends: An Agentic Approach

Justas Jankunas from Exacaster (Lithuania) introduced Exacaster’s work in big data and AI-driven solutions. He clarified the distinctions between generative AI and other AI types, and provided a roadmap for integrating generative AI into business operations. Exacaster highlighted the framework of the architecture which illustrates what main components are needed in the GenAI systems implementation.

Justas also highlighted the significance of quick iterations and proof of concepts to drive successful AI projects as well as principles and benefits of agentic systems.

Agents Can Help Get Things Done (GTD)

Muhammad Imran from FBK Research Institution (Italy) extended the topic of multi agent systems benefits in modern AI-based systems. He discussed the development of conversational agents to facilitate multi-agent collaboration in solving customer issues. The need of environment and user feedback for the AI models is a path to more accurate and user expectation meeting solution development.

Muhammad showcased the potential of these agents in driving scientific inquiry and engineering problem-solving by emphasizing their ability to reason, plan, and communicate effectively.

Leverage LLMs with Privacy and Data Governance

Ramon Navarro Bosch from NUCLIA (Spain) presented Nuclia’s innovative approach to providing “RAG as a Service” with a focus on privacy and data governance. NUCLIA system is oriented on full stack of knowledge gathering. Ramon detailed the components of their solution, including automated data ingestion, storage, LLM orchestration and result presentation to the client. The company underscored the importance of secure AI solutions for industries like healthcare and finance.

AI Use in Business

Matīss Reinsmits from Asya.ai (Latvia) highlighted practical applications of AI in business, showcasing examples such as automated form filling and employee training. Matīss discussed the challenges of AI adoption and stressed the need for businesses to embrace innovation and overcome reluctance to be early adopters of new technologies. Several cases were demonstrated to illustrate the automation and accuracy, performance metrics improve adopting RAG agents and GenAI based solutions.

The Impact of Artificial Intelligence on the Labor Market

Razvan Ungurasu from RAISIS (Romania) explored AI’s profound impact on the labor market, focusing on automating repetitive tasks and enhancing data-driven decision-making. He shared insights from RAISIS Software’s integration of AI into medical software products, emphasizing the critical importance of data quality and reliability. Razvan also mentioned the challenges in AI, which are related not only to technical aspects, but human aspects.

AI-Based Global Optimization Methods and Tools

Jüri Majak from TALTECH University (Estonia) presented the application of AI in engineering optimization. He led to clarification not all tasks currently are suitable for GenAI technologies. Especially engineering related cases require more individual approaches. Therefore, Jüri highlighted methods like genetic algorithms and particle swarm optimization with case studies on optimizing composite panels, permanent magnets, and smart materials. TalTech professor underscored the value of combining AI tools with engineering expertise to solve complex design problems.

AI and Robotics Activities in Estonian Manufacturing Companies

Evelin Ebruk from TALTECH University (Estonia) discussed the collaboration between AI and Robotics Systems in various Estonian industrial companies. She showcased successful AI suitability assessments and test-before-invest projects, emphasizing the role of cross-sector innovation in driving efficiency and sustainability in manufacturing. The need and benefits of collaboration were mentioned by Evelin, calling everyone to be active in the AI and Robotics System development.

Collaborative Discussions

The workshop facilitated an engaging and interactive discussion on “How AI can foster the digital transformation of EU countries.” The discussion was moderated by Agris Ņikitenko and Viesturs Sosārs, who guided the conversation through several key takeaways:

Challenges in AI Adoption: Participants identified barriers such as data quality, AI literacy, and risk management. They emphasized aligning AI projects with business objectives and the importance of iterative development and testing.
Bias in AI: The group debated the implications of bias in AI models and strategies to mitigate it, such as ensuring data diversity and implementing corrective actions in AI algorithms.
Market Dynamics: The discussion highlighted the role of market demand and competition in driving AI adoption. Participants noted that companies are more likely to invest in AI solutions when they see clear benefits and successful implementations in their industry.

The workshop highlighted the AI’s transformative potential across various sectors and the importance of collaboration between academia, industry, and government. The presentations and discussions provided valuable insights into the current state of AI, its challenges, and future directions. The workshop record and all the discussions are available in MERIT YouTube channel (https://youtu.be/I0uEJQXKoiI).

As AI continues to evolve, such workshops play a crucial role in fostering innovation, sharing knowledge, and driving the adoption of AI technologies.

Special thanks to all presenters and participants for their contributions and engagement. The workshop marked a significant step toward building a more AI-literate and technologically advanced society. We look forward to seeing you at future workshops and continuing our collaborative efforts in advancing AI.