Artificial Intelligence Challenge: From information to knowledge and understanding 

KPN presented the following challenge for the artificial intelligence theme: “How can we create new business models based on IoT-as-a-service and what role can artificial intelligence play in that? And what role could your company play?” The various pitchers interpreted the challenge broadly, not all presented cut-and-dried solutions.

Manfred van der Voort from ICR3ATE pitched the DupliOT, technology that makes it possible to provide sensors and other devices in low-power wide-area networks with software updates. Because, according to him, that is not possible in rural areas with poor internet connections at present. “We provide the distributed infrastructure”, said Van der Voort. “Companies like DHL and Amazon provide the data update with their drones and balloons. We believe we can accelerate the use of distributed sensor networks with this technology”, he explained in response to a question from Carolien Nijhuis of KPN about the business model for DupliOT. 

Facial Recognition 

Tauseef Ali from 20Face pitched innovative facial recognition software and systems that can identify people very quickly and accurately. “Our solution provides accurate identification even if there is little light, if only a small section of the face is visible, if the distance from the camera is great and the resolution minimal, or if people have strange facial expressions,”Ali claimed. Which elicited the remark from Samir Ahmad of KPN Ventures that he would like to see a proof of concept to clarify whether 20Face’s system really is better than that of the competition. “Particularly distinctive is the speed, which means that people in motion can also be identified accurately”, Tauseef Ali added.

Smart building 

Bart Lelij from SWYCS launched his smart building technology. “The world of real estate will change rapidly in coming years; it will become energy neutral, installations will need to be maintained remotely and be connected to the smart grid in a reliable way. Domotics solutions and boilers can be operated via our gateway, the performance of solar panel installations can be monitored, and energy performance can be viewed or adjusted. Our gateway bridges the gap between service providers in the cloud and IoT devices in smart homes.” If KPN were to partner with SWYCS, this technology could be fully integrated in the company’s Experia Box within six months, he assured Nijhuis when asked.

Machine learning 

Braincreators proved a straightforward service provider. Without relying on slides, Jasper Wognum used the three minutes available to explain that his Amsterdam team could help any company get to grips with machine learning, whether a software business, or a company that builds houses or machinery. “Every company will need to have that expertise within five years. Our expert team helps clients make that transformation”, said Wognum. “We adapt our approach depending on the client’s level of knowledge.” “But how does the client then guarantee that AI knowledge”, Samir Ahmad wanted to know. Wognum: “We do not build platforms ourselves, we ensure the client’s employees can do that themselves.”

Media consumption algorithm 

Finally, Peter Hoekstra from Grasp presented an algorithm that adapts content to the style and level of complexity of the media consumer. Special software ensures that a manual, textbook, or showbuzz article suits the reader, listener or viewer perfectly in terms of style and level of knowledge. A corporate like KPN could use Grasp’s service to optimize its personal communication with the client, he added in the context of a potential business model. To progress from information to knowledge and understanding.

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