Daniel DahlmeierResearch Lead
SAP Innovation Center Network Singapore
Daniel is the Research Lead at the SAP Innovation Center in Singapore where he focuses on bringing machine learning to the enterprise.
He obtained his Ph.D. in Computer Science from the National University of Singapore in 2013 and prior to that his Diploma in Computer Science from the Karlsruhe Institute of Technology. Daniel's research interests are in the areas of machine learning and natural language processing.
13:20 Turbocharging shared service centers with machine learning: boost capabilities, save money and time
Learning how machine learning will revolutionize knowledge work in enterprises similar to how machines have revolutionized manual labour
Utilizing machine learning to make applications intelligent and automate business processes, while elevating the nature of work by removing people from dull, repetitive tasks
Capitalizing benefits to companies – improved customer satisfaction, faster response time, lower costs and higher productivity in the workforce
12:20 Panel 2: Discussing the effectiveness of start-up successes vs. corporate driven initiatives (top-down)
How do Start-ups differ from MNCs when they test the market with a new product and how do they act and adapt to these changes
What drives Start-ups to embrace failure fast and continue to take risks to innovate
What are the benchmarks used to measure progress in research innovation projects