Successful Use of Machine Learning in Field Services
Chatbots, self-driving cars and connected machines in digital factories give an idea of what our future will look like. Whether for businesses, politics, mobility, health, defense reasons or the environment, machine learning brings many advantages. Not least, of course, in field service management, where highly optimized algorithms provide advantages such as higher efficiency, fewer repetitive tasks and improved customer service because service technicians receive significant support by intelligent field service management solutions.
The advantages of integrated resource and material management as well as intelligent algorithms for optimized real-time planning are clear: From the customer’s point of view, this makes field service more economical and individual due to cost savings and optimized service quality.
On 24.10.2019, during the Experience Day “Successful Use of Machine Learning in Service”, LogObject illustrates how intelligent systems can be successfully used in services by presenting an example of a well-known company.
On the same day, you can also learn more about the real usability and added value of machine learning as well as opportunities and risks in the application and transfer of machine learning solutions into the production.
The Center Smart Services team shows which points of reference companies need to check when choosing a machine learning Provider. In addition, we will provide you with a basis for making decisions, which should help companies to decide for or against the use of machine learning and to find the right partner from the large number of available providers.
Where: Aachen, Campus Boulevard 55
Agenda (subject to change)
- 08:30 – 09:00 am Arrival
- 09:00 – 09:15 am Welcome
- 09:15 – 10:00 am Machine Learning – Development, Challenges, Application possibilities
Kriz Lee Senior Project Manager, Center Smart Services
- 10:00 – 10:15 am Coffee break
- 10:15 – 12:00 am How to avoid standing still – Predicitve Maintenance explained with two Use Cases
Marcus Cramer, Head of Analytics bei Westphalia Datalab GmbH
- 12:00 – 1:00 pm Lunch break
- 1:00 – 3:00 pm How to use artifical intelligence in service
Christoph Hollenstein Head of Global Customer Service & Support, V-ZUG AG
- 3:00 – 3:30 pm Coffee break
- 3:30 – 4:00 pm Machine Learning as a stepping stone for AI – LogObject AG forecast
Albert Schöppl, Sales and Marketing Management, LogObject AG
- 4:00 pm Final notes and time to network
Do you want to know more about the successful digitalization of services? Register now for our LogObject Experience Day on 24.10.2019!
Participation fee: 179,- € plus VAT.