Applications of artificial intelligence (AI) in industrial environments are developing rapidly and present new opportunities for manufacturers. But how do you start, and what will AI really bring to manufacturers? In an insightful and highly watchable podcast, Christian Nomine, Strategic Product Manager for Visualisation & Analytics Mitsubishi Electric Europe explains how it is helpful to use proven AI data science tools.
Firstly, companies can leverage machine learning to improve productivity and performance. But building on that, they can also use it as a tool to enhance their experts’ know-how and support knowledge transfer across an enterprise. Sometimes overlooked by companies, this last aspect is among the most value-adding elements of AI.
AI: Where is it?
In the podcast entitled “AI: Where is it?” Nomine explains why smart technologies are key to maintaining and setting up highly competitive manufacturing operations. He discusses how ready built data science tools provide essential shortcuts to start the process. AI-driven tools like ChatGPT, are currently making headlines based on their potential impact on our everyday lives. Likewise, AI-based solutions using machine learning to provide advanced industrial manufacturing capabilities are already available and receiving a positive impact.
These tools are simplifying the use of smart technologies and providing access via intuitive interfaces to support a myriad of activities. And manufacturing applications are already benefiting. For example, deploying the technology to streamline operations and improve product quality as well as productivity.
As manufacturers face stronger competition, they must continuously look for ways to further enhance their efficiency, output and cost-effectiveness. To succeed in these goals and drive their own growth, companies are adopting innovative technologies. However, beginning data science and AI journeys is not without challenges.
Data Science Tools
To address this issue, it is helpful to use proven AI data science tools, such as Mitsubishi Electric’s MELSOFT MaiLab. These guide staff in the process of making the machines, lines and factories smarter according to Nominee. This solution is suitable for both entry-level as well as more advanced AI applications. Moreover, it can enhance the user experience and intuition of human experts with empirical data and insights. This, in turn, can help manufacturers improve their processes and operations.
Altogether, AI data science tools help specialists to refine their abilities and support the growth of trainees and junior staff. They also provide access to a unique, objective knowledge platform that supports the development of teams and the enterprise.
It is therefore clear that AI will not replace humans. In fact, it will empower them to make more accurate, effective, and rapid decisions that benefit the entire company.
To watch the interview with Christian Nomine as part of Mitsubishi Electric’s Podcast series and learn more about AI. Visit: https://youtu.be/G14g_cHPkVI
More information about the AI data science tool MELSOFT MaiLab https://emea.mitsubishielectric.com/fa/products/edge/edgsw/edgap/melsoft-mailab
