If you’ve ever wondered how leading retailers like Amazon decide how to locate their distribution centers for quick, efficient, and cost-effective shipping and delivery, read below to learn the best-in-class tools and techniques available to you.
Companies don’t always need a team of data scientists to be able to utilize AI capabilities. When is it appropriate to bring in a data science team and when can you use Microsoft Cognitive Services?
When Blueprint Technologies’ data science team set out to optimize a travel and hospitality company’s online advertising spend with machine learning, we found an almost uncountable number of ways the problem could be approached.
To make the most of machine learning and artificial intelligence, an organization needs data scientists – and not just one. What makes a well-rounded data science team?
Signal smoothing is not a new concept, but it is still being used in many cutting-edge applications with a variety of techniques available.
We created a company-wide competition around demonstrating the value of self-service business intelligence powered by Conduit. Here are the results.
Moving your business’ vital data is not only expensive, but can further complicate your data estate if not done correctly. What if there was a tool that could connect to your data without having to move it?
War rooms are a centralized hub for activity that monitors your entire business, delivering critical updates to key people across your company. What if this critical information could be automated and delivered in real time?
With the goal of helping drive data-driven decision-making, it’s important to distinguish the signal from the noise of a company.
Can your business benefit from a strong data science practice? Blueprint Solutions Architect Manish Shukla explains how to truly be data driven.
When we talk about Data Science, what do we mean by that exactly? We interviewed Blueprint Solutions Architect Manish Shuka to find out.
Sifting through big data quickly and intelligently
