Letzte Woche hatte ich das große Vergnügen, zum ersten Mal an einem Ideathon teilzunehmen (Winterhack). Wer das nicht kennt – diese Art der Veranstaltung ist vergleichbar mit einem Hackathon, nur dass hier weniger das Coden und technische Entwickeln von Prototypen im Vordergrund steht. Vielmehr geht es in der Hauptsache um
Gespräch mit Mastercard, Vicepresident International Arne Pache.
The coronavirus pandemic has changed many things in many industries – and not always in the most obvious way. Insurance companies have seen both fewer claims and fewer sales. As a result, many have realised that the process of digitisation, often started slowly before lockdown, must now be accelerated. More,
In my last blog post, I talked about the importance of establishing the right team for data science projects. Here, I’m going to talk about some of the barriers that can prevent successful adoption of data science. You can read my whole "data science in the wild" blog series here.
Detecting malpractice and crime – whether it is fraud, people smuggling, avoiding customs or organised crime – is a complex process. Detection is all very well and a necessary step. But what are the outcomes that your organisation needs? And what workflows and triggers do you need in place to
Interview mit Bundesministerium für Wirtschaft und Energie, Leiter der Stabsstelle für KI: Marco-Alexander Breit.
Der Einsatz einer zentralen, skalierbaren Plattform, die offen, flexibel und jederzeit anpassbar ist, kann Kassen der Steuerbehörden unterstützen.
You’ve finally done it. You managed to stay awake through the endless series of MOOC videos, and you’ve mastered the IRIS data set. You've learned that lm() will build you a pretty nifty model in R, and you can fit a Classifier with SciKit Learn. You know your Neural Net
The pandemic has done more to drive consumer adoption of online channels than any digital transformation initiative – but companies should be careful what they wish for. 2020 has been a difficult year for everyone, and as the coronavirus continues to impact lives, health and the economy, it would be
Zorlu Son Aşama: Model İmplementasyonu Günümüzde neredeyse tüm organizasyonların iş kararları vermek için, veriden faydalanarak gerçek zamanlı içgörüler elde etmeye çalıştığı bir dijital yolculuk içerisinde olduklarını görüyoruz. Sınırlarını hayalgücümüzün ve yeteneklerimizin belirlediği veri analitiği bizlere sonsuz bir potansiyel sunuyor. 2019 yılında analitik yazılımlara 190 milyar Dolar yatırım yapılması da şirketlerin
