It’s essential for organizations to be aware of shifts in employee spend that invite different risks. The data scientists at Oversight, an enterprise spend management software, reveal the ongoing spend shifts organizations face and how the pandemic has quickly reshaped travel and expense employee spend. A high-level look at the

Four years ago, data privacy was a known but little talked-about concept. The GDPR radically changed that. Since the European law was passed, we’ve seen privacy protection catapulted to the top of the business agenda and the bar for responsible data use raised by one new global directive after another.

How can you make sure you’re building your machine learning infrastructure the right way? You’d be surprised to learn that you don’t need to have a full data science staff at hand. Machine learning has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. However, it

The ecommerce industry has greatly benefited from the explosion of customer-centric data analytics. Industry leaders have been able to leverage it to great effect, fueling their various marketing, advertising and website content personalization efforts, yielding game-changing sales conversion lift. Contemporary online shopping companies have even been rampantly gathering, tracking, and even buying

Whether you are experienced or thinking about getting your hands on Apache Spark, this Apache Spark tutorial will guide you through: downloading and running Spark launching Spark’s consoles Spark’s basic architecture Spark’s language APIs DataFrames and SQL Spark’s Toolset What is Apache Spark? Apache Spark is a unified computing engine

As the world contends with the Covid-19 pandemic and its profound impact across regions and industries, companies are not only looking for ways to safeguard their people and customers but also their business’ long-term future – read how data & analytics can help your business deal with the crisis.  The

Many e-commerce companies are looking to leverage artificial intelligence (AI) to reach more customers, improve their products and boost their sales. The trend can already be seen in e-commerce websites that feature recommendation engines, chatbots and smart assistants. These types of AI technology adoptions are likely to continue. According to Gartner, 37% of

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to

Troy Shu shares his advice on starting a new role, becoming a better storyteller, stakeholder management, managing up, and building a consultancy. Editor’s note: the post was originally published at Towards Data Science, a Medium publication sharing concepts, ideas, and codes. Troy Shu is currently a data scientist at Lyft, a

Technology companies are under huge pressure to deliver faster and better experiences, so it’s not surprising that focus is centered on the front end of systems. With slick, friction-free services vital to outshine competitors in an ever-evolving market, backstage mechanics are often seen as a lower priority. The trouble is