Occupying leading roles in companies as established as Google, Microsoft & Dell, as creatively innovative as Adobe, Figma & Vista, and as user forward as Shopify, Indeed & Wayfair- speakers took to the stage at Data Science Salon Austin to share their...
Many enterprises are either on the path of becoming data-first or already leveraging their data assets. Such a digital journey gets fuelled with data – an enormous amount of it, that is generated daily to empower such data-powered insights. But maintaining data assets...
Unsupervised log anomaly detection is a technique to detect anomalies in logs and can be more effective than supervised log anomaly detection which requires a lot of labeled data. The idea is to be able to do this from the command line interface using a pip install...
A large number of organizations have been generating and collecting data for a while now – only to realize that it does not take data assets long to convert into a liability if not treated well. Despite building the best infrastructure platform and possessing the...
On December 7, 2022, we got the chance to bring the data science community in NYC back together with the Data Science Salon NYC. The last in-person event we had hosted in the Big Apple was in 2019 and we had missed seeing everybody face-to-face so much! The...
This article discusses the needs and challenges of enterprise AI for product innovation based on Winnie Cheng’s presentation at Data Science Salon NYC on the same topic. Winnie Cheng is a director of AI in PWC’s innovation hub with more than 20 years of experience in...
Getting an E-Commerce system to function reliably is not a trivial task. It is a sophisticated ecosystem that involves understanding complex dynamics between the customers, products, fulfillment methods, inventory planning, pricing, etc. For instance, take product...
Software development is a learning process in itself. Not only do developers learn in retrospect, but they also need to frequently update a piece of code while working on a project. This iterative development process oftentimes calls for updating the code in the light...
If you have built machine learning pipelines, you must have faced questions like “How does this model generalize well on unseen data?”. One of the most critical assumptions in building a successful machine learning model is that it can generalize on the previously...
It is very hard to put all the emotions in one post about Data Science Salon Miami Hybrid 2022 and Miami Machine Learning Week, which happened from September 20-23, 2022. The fact that this was our fifth Data Science Salon in Miami and the first large in-person event...