Fishbowl: Machine Learning and IoT with SAP – Putting it into Practice
In this extended Fishbowl Session hear three presentations, from experts exploring how Machine Learning and IoT can offer organisations deeper insights, faster in these real-world examples. Following these presentations, attendees are encouraged to delve into the speaker’s experiences and expertise during a panel Q&A.
How Does SAP Leonardo Support the Internet of Things?
You’ve heard about SAP Leonardo, but want to know more about the SAP Leonardo IoT Foundation. Then this session is for you.
Alisdair will discuss the new offerings from SAP and how they can help you get your IoT projects up and running. Hear how edge services allow for localised decision making and management of large data volumes through aggregation and filtering, while the SAP Cloud Platform IoT Services can deliver complex insights into your business processes via Predictive Analytics and Machine Learning.
Finally, Alisdair will examine the concept of the "digital twin" and how this will become central to complex IoT implementations, providing business, application and technical views of our connected devices.
Alisdair Templeton, SAP Mentor
Machine Learning and SAP: OSR’s Insights into Managing Customer Behaviour Through Data
OSR recently collaborated in a proof of concept exercise with SAP to trial machine learning. They opted to apply machine learning to improving management of debt collection. The aim was to determine how to use a machine to develop strategies that prevent debts arising and to tailor collection processes.
SAP’s approach to machine learning makes it easy to start because of an easily understood approach to data modelling. The latest SAP analytics and GUI features allow excellent visualisation of data and they support rapid development so you can get information out to people in time for them to make effective decisions.
Learning to use data better leads to business improvements. Machine learning has allowed OSR to speed things along and free up staff to work on higher value tasks - things the machine cannot do (yet). Machine learning also identifies new opportunities and approaches. By better automating the simple tasks and allowing the machine to suggest new approaches you can make your staff more effective.
Machine learning has specific use cases and applications, and despite the mystery and hype, has real-world applications, even in a mundane environment of tax and revenue management! Attendees will leave with an understanding of what it is and it is not, and perhaps even be inspired to apply machine learning to their own environments.
Gary Parr - Enterprise Architect, Office of State Revenue, Queensland Treasury
Utilities X – A Real World Example of Advanced Machine Learning for Business Benefits
How is SAP Leonardo empowering organisations to stay ahead of the game and take steps into Future Technologies? SAP are now working with customers to explore and co-innovate using advanced Machine Learning techniques.
In this session, SAP futurist Dr Nicholas Nicoloudis will discuss Utilities X, a project SAP have embarked on with an Australian based electricity distributor to deliver a solution which will automate the ability to label and identify faulty poles.
Finally, hear what the future of Machine Learning techniques has in store for other organisations and other sectors. If you are ready to explore the possibilities of Machine Learning for your organisation, then this is the session for you.
Dr Nicholas Nicoloudis, Technical Innovation Executive, SAP