Although there is much to be gained by a data-driven approach in business, not every company is unlocking the full potential of their data as of yet. In this blogpost series, we take a look at some of the benefits that accompany data-driven solutions. To illustrate these benefits, examples are provided of customer cases. To kick off, this blog is all about cost reduction.
We are proud to announce that Notilyze obtained the ISO 27001 and NEN 7510 certifications for data security. With these certifications we demonstrate that we meet the highest data security standards, including specific health care requirements in The Netherlands. With this, our customers are assured that their data and information will be treated with the utmost care by Notilyze.
During my time at Notilyze I developed a quantitative model for one of their biggest clients as part of my thesis for the master Quantitative Finance.
Notilyze participated in the SAS EMEA Hackathon 2020. The goal of this Hackathon was to find a way to add sustainable value in real life business. As the connection with data for good was important, the team of Notilyze made a model to extract information from satellite images to help estimating the number of refugees in refugee camps in Nigeria. Better camp size estimation ensures that the demand in each camp can be met easier, as surpluses in goods can be moved to camps with shortages, leading to a more effective cross-camp collaboration. With this case Notilyze ended up winning the first prize.
In the previous article about contrast stretching, we explored percentile contrast stretching and how to apply this to obtain better performance in object detection models. Percentile contrast stretching is also called (histogram) normalization, as we normalize the range of the pixel intensities.
An important part of training neural networks is preprocessing of the input. A lot of performance gain can be obtained by carefully examining, cleaning and transforming the input data.
