"We have not finished researching the laser. On the contrary – 60 years after its invention – things are just getting started!" said Prof. Constantin Haefner, Director of the Fraunhofer Institute for Laser Technology ILT in Aachen, in his closing speech at AKL'24. Looking ahead, he sees huge, completely untapped markets for photonics with sales potential of many hundreds of billions of euros: "Quantum technologies, sustainability, secondary sources, cyberphotonics and inertial confinement fusion." Haefner's list also reflected the top topics of the AKL - International Laser Technology Congress, which attracted 525 participants, 81 speakers and 52 exhibiting companies from 21 countries to Aachen last week, from April 17 to 19, 2024.
Digitalization and AI influence value creation and business models
One topic was omnipresent in the three-day lecture program: Artificial intelligence (AI) is opening up new horizons for research institutes, laser system providers and their users. Indeed, AI is becoming a highly effective tool, especially when combined with dynamically advancing digitalization and ever more closely meshed sensory process monitoring. This is because masses of data are generated along industrial process chains, which companies can process into information with added value thanks to AI. During the Gerd Herziger Session at AKL'24, Fraunhofer ILT Director Haefner discussed what this means for value creation and business models in laser technology with three top managers from the industry: Dr. Hagen Zimer, Board Member and CEO of Laser Technology at TRUMPF SE + Co. KG in Ditzingen, Dr. Christoph Rüttimann, CTO of Bystronic Group in Niederönz (CH) and Dr. Christopher Dorman, the Executive Vice President of the COHERENT Lasers Business.
Haefner began by pointing out the opportunities cyberphotonics can offer the industry. "As Fraunhofer ILT, we will continue to develop our established expertise in the application of laser technology and optics but expand it to include digital dimensions and the rapidly increasing possibilities of artificial intelligence (AI)," he said. As it is foreseeable how deeply and quickly AI will change value creation in photonics, Fraunhofer is adapting it without hesitation and without the usual organizational embedding in task forces and strategic mission initiatives. This is because the use of AI is already increasing exponentially, including in photonics, whose players Haefner urgently advised to start using AI without further delay. "Access to data and the ability to derive added value from it with AI is already synonymous with competitive advantages," he warned. In the medium term, there is much more at stake, namely the question of who will control the photonics markets in the future. Suppliers of photonic hardware or software companies, the latter of which only integrate lasers into digital platforms as a commodity and shift the actual value creation to digital services?
Don't let lasers become an interchangeable commodity
Haefner illustrated his thesis with an excursion into agricultural technology. The manufacturers of tractors, combine harvesters and various implements agreed on standardized data interfaces very early on, which their machines, devices and, increasingly, optical sensors use to exchange data and transmit it from the field to the cloud. Digital platforms have emerged from this pool, offering farmers real added value today. Integration that has been thought through to the end – networked, smart and service-oriented – was the basis for fully informed, data-based farm management. The agricultural machine remains the fixed point around which digital ecosystems are formed; in these systems, farmers can find sensor-based, spatially and temporally high-resolution data on fertility, irrigation and fertilizer requirements and the yields of their soil. They can also access weather forecasts, trading prices, fleet management solutions and much more. Fully autonomous agricultural machinery will soon be helping to feed these high-precision, intelligent farm systems with data and implement data-based recommendations for action.
According to Haefner, the photonics industry can create comparable ecosystems by networking its laser systems used worldwide, collecting data and using AI tools to create added value for its customers. "We can use AI to better focus research and development, shorten time-to-market, offer predictive and proactive services and optimize laser processes," he explained. Data science is the enabler for a deeper understanding of laser sources, laser processes, measurement, and sensor data. AI, machine learning and digital twins are expanding the technological repertoire, what in the medium term will enable self-learning machines and first-time-right production. Cyberphotonics could thus provide the key to the "Internet of Sustainable Production," a field that Fraunhofer ILT in Aachen is building with various other institutes, and one in which a growing database is creating the basis to drive forward innovative process chains for the circular economy.
Fraunhofer ILT itself is already using AI on a broad front: It helps users design optics as well as entire research projects or match simulations with real tests; it is used to optimize processes and to control laser processes on-the-fly so that production errors or defects do not occur in the first place. The aim is to minimize reworking and get closer and closer to first-time-right production. However, with a view to global competition, Haefner posed two questions: "Is the speed we are achieving as an industry sufficient? And are your companies ready for cyberphotonics?"
Fraunhofer Institute for Laser Technology ILT
