The AIxIA keynotes, talks, discussions and state-of-the art use cases will cover two topics:
From predicting malfunctions of machines and finding root causes to next-level process automation for production lines – AI technology has led to major improvements in manufacturing. Besides, we see that close human-robot collaboration is in advance. AI can reinforce the collaboration by “humanizing” the robot behavior. At the conference, we will look into how these innovations massively boost business success AND can have a positive environmental impact – the reduction of waste and energy usage are just two examples.
Another aspect that will be covered is AI within the food industry. According to forecasts, humanity will need around 70 percent more food by 2050, than we produce today. AI solutions can help farmers to grow food more efficiently and at the same time in a more environmentally friendly way.
Sustainability is a hot topic. An industry-wide shift is occurring which leads companies to include environmental sustainability goals in their corporate strategies. Companies must be aware of their footprint and what they can do to reduce it. The AI use cases presented in this session focus on these issues with a focus on energy, water, and resources.
The possible industrial applications of artificial intelligence (AI) are manifold. There are AI systems that perform quality inspection more reliably than humans as well as systems that support engineers in the design phase. Thus, will entire factories soon be managed by AI? Practical examples demonstrate what AI systems can already do, where they are already applied and what limits prevail. Altogether, the new role of production managers will be projected.
Timely maintenance of railway tracks is crucial for resilience, comfort and safety in rail traffic. It increases the acceptance of rail transport and its sustainability.
incontext.technology developed a smart monitor for rails which identifies and categorises anomalies on railway tracks by analysing sensor data based on daily train operations. Connected to the operator’s business processes, the resulting digital twin of the tracks keeps the maintenance teams up to date about the rail conditions and their expected evolution.
Through the expansion of renewable energies and the market ramp-up of electromobility, the energy transition is taking place especially in the distribution grid. As a result, power generation is increasingly shifting to medium and low voltage. This dynamic is accompanied by new challenges for distribution system operators: they have to deal with bidirectional power flows and enormous peak loads – and all this within the huge distribution grid area. This is only possible with innovative approaches such as state estimation and thus the inclusion of artificial intelligence!
AI allows retailers to translate their business strategies in decisions at scale with high degree of automation. As grocery retailers experience intensifying competition, they need to manage pricing processes for expiring products to balance profitability and waste. This talk will discuss in detail how AI enables the full utilization of intraday POS data and Real-Time decision making to manage markdowns effectively. Markdown pricing directly contributes to sustainability goals in helping to minimise and control waste based on the retailer’s desired business strategy.