All Blog Posts
Make them feel special-- this is key in marketing, business, and dating.
It’s no different in the tech world. Companies want products with more functionality and customizability, and a plugin...
A big problem in machine learning (ML) is data scarcity, but operationalizing ML is an even bigger problem for enterprises (and is often overshadowed by the excitement for big data). Dataiku 4.3...
Data science has created a new capacity for powerful analysis by traders that, so far, few have taken advantage of. While quants have been doing data science for awhile now, traders have been...
AI is the sexiest trend in tech, and NLP (Natural Language Processing) is one of its many branches. NLP is the ability of a machine to understand and “speak” (generate) the human language.
The 2018 FIFA World Cup starts tomorrow, and we decided to use Dataiku to predict not only who will win overall but also how far France, England, and Germany will go (we tried to include Italy too...
Inspired by the latest CDiscount tech post giving an overview of some MetaML solutions, we thought this would be the perfect time to also talk about MetaML. Because what could be more meta than to...
For many organizations, the most difficult part of a data project is not the collection of the data, but rather the ability to extract actionable insights in a scalable way and in a specific time...
Thus far, most of the buzz surrounding the Internet of Things (IoT) movement has been one of niche (and often kooky) smart products. At least in the media, the industrial side - being used in...
After a century of rapid progress in the development of new medications, the discovery of new drugs has slowed significantly, and the process of developing new pharmaceuticals has become more and...
Much of the focus and attention on data science, machine learning (ML), and artificial intelligence (AI) falls on huge enterprises and the sweeping, innovative gains they’ve made in the space. But...
In January 2018, Business Insider found that 42 percent of organizations surveyed identified supply chain and operations as driving revenue from AI capabilities today. Early adopters are...
Crime is an issue that is present everywhere; it’s in every city and in every country in the world. Preventing, intervening in, and rectifying harm done by crime costs $10 billion annually in the...
When it comes to machine learning (ML) and artificial intelligence (AI) opportunity, many people immediately think of sleek Silicon Valley companies inventing the latest gadgets that will,...
Across industries, technologies, and use cases worldwide, there is perhaps no other data science strategy more important to understand and to leverage than anomaly detection. While useful across...
Undoubtedly, 2017 has been yet another hype year for data science, particularly ML and AI. And while the associated technological and organizational evolutions are happening across the globe, they...
Automated Machine Learning (AML) is a concept that’s resonated with many data scientists. Essentially, it means taking as many of the tedious, repetitive tasks associated with data projects (such...
The Internet of Things (IoT) is infiltrating the world of defense and security at an astounding pace, so the amount of data available to intelligence and security agencies is, unsurprisingly,...
