Looking back to HighTech meets Data Science

October 19, 2018 – Jheronimus Academy of Data Science (JADS) – ’s-Hertogenbosch

After a few months of preparation HighTech meets Data Science was about to get started! Many checklists were crossed off:

  • Nice location? – Absolutely!
  • Great speakers? – For sure!
  • Interested attendees? – No problem!

As soon as the doors at JADS were open, both attendees and speakers walked into JADS Mariënburg Campus where they could immediately see the impressive chapel. In this chapel the last checks on the audiovisual part of the seminar were taking place; everything was set for the start of the day. After some coffee and getting a good look around in the beautiful Atrium of the former monastery, everybody gathered in the chapel for the seminar.

Willem-Jan van den Heuvel – JADS

Remko Horne (Holland Innovative) welcomed the guests and introduced the first speaker of the day, Willem-Jan van den Heuvel, director of education at JADS. He introduced JADS to the audience; bringing research, education and business together to create value with data science. The newest smart manufacturing requires increasingly smarter analytics. In order to create these analytical tools, new skill sets are imperative for the next generation of data entrepreneurs.
JADS offers this with a number of data science programs at undergraduate, graduate and post-graduate level including Professional and Executive Education programs.

Koen Herps Marc Evers – KMWE

Next up were Koen Herps and Marc Evers from KMWE Group. As a specialized contract manufacturing and engineering partner in high tech markets, the organisation puts Smart Industry into practice by focusing on logistics automation with external interfaces. Using a broad array of algorithms, KWME challenge themselves to use big data in those algorithms to really put Smart Industry into practice , implementing smart automation and use digital manufacturing.

Ignacio Alonso – ASML

As a software architect at ASML, Ignacio Alonso wants to be able to address the behaviour of software and get the timing right. Not ‘just’ right, but right as in nanoseconds right. The amount of GBs that are produced in the testing machines is impossible to analyse manually, which means data science and data management is imperative to gain insight in the performance of the lithography machines of ASML. The use of KNIME has proven to be an analytics platform within several departments at ASML, allowing Ignacio and his colleagues to gather as much data from a single test as possible. This way the company is able to continuously manage and improve its products.

Thijs van de Weijer – Bright Cape

Before the coffee break, Thijs van de Weijer (Bright Cape) showed us how the “spaghetti of data” can give great insights in process flows. With the help of the modular platform SIA (Smart Industry Assistant), highly detailed information can be used to find possible hick-ups and improve the flows.
Like Thijs said: Process mining itself gives zero value. It gives tremendous insights. Those insights are worthless if nobody is picking up the actions.

Malcolm Moore – JMP Europe

In his role as technical manager at JMP Europe, Malcolm Moore emphasized the necessity of using Design of Experiments (DoE) when working with big data. Companies realise the value of the current and historical data, while at the same time noticing it is an asset they are not using to its full capacity. Are correlated data interpreted correctly or are unmeasured variables of greater importance? To understand what is driving a problem, DoE is a highly effective method to generate new data to determine cause and effects.

Göran Oesterholt – Siemens

Using digitalization to improve and strengthen innovation was the main topic of Göran Oesterholt. Siemens is aiming to help customers make better decisions faster. This is done by combining the real world with the virtual world. By creating a digital twin and feeding it with data from production facilities of the real world, new insights are gathered. This leads to an optimized real product during real-life production. Merging the virtual and the real worlds frees innovation from previous boundaries.

Remko Horne – Holland Innovative

The final presentation of HighTech meets Data Science was a combined presentation by Remko Horne and Jeroen de Mast. Jeroen is currently working as Professor of Statistics at Waterloo University in Canada, so was present via a pre-recorded movie. JADS is creating a Smart Industry track in the MSc program Data Science and Entrepreneurship  aimed at educating data scientists who understand the needs of the manufacturing industry. Together, Holland Innovative and JADS are developing a Smart Industry consortium program with industry partners. This program includes (contract) research, executive education and other business services like masterclasses, workshops or data tasting sessions. The purpose is to help (further) incorporate data science into the business strategy.

Vivian de Corti – Holland Innovative

After the wrap-up of HighTech meets Data Science and the closing lunch in the Atrium, we can look  back to a very successful seminar. The inspiring presentations have made clear that the biggest challenge of big data is not in gathering the data, but in reading the information carefully and the necessity of using tools and methods to analyse the data correctly. Only then, big data can be turned into data science to help organizations improve and innovate. To be continued!

Once again, on behalf of JADS and Holland Innovative: thank you!

Vivian de Corti
Marketing & Communication Specialist
Holland Innovative


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