3 Predictions for Cloud Data Science in 2020

As 2020 begins, there has been limited cloud data science announcements so I put together some predictions. Here are 3 things I believe will happen in 2020. 1. Cloud Collaboration I think we are going to see more interoperability between the major cloud providers. For example, Azure Arc now allows you to run Azure products … Continue reading 3 Predictions for Cloud Data Science in 2020

Questions to ask before building a Data Strategy

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. However, there are many questions to address before getting started. Below is a list of some of those questions. General Questions Before Starting a Data Strategy Do you have a process for solving problems … Continue reading Questions to ask before building a Data Strategy

Challenges of Data Science Projects

It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Even Gartner predicts that by 2022 only 20% of analytics projects will deliver business value. That means about 80% will fail to deliver value. Thus, companies need to be very careful about running data analytics projects. There are … Continue reading Challenges of Data Science Projects

Storing Data On a Piece of Glass – Microsoft’s Project Silica

Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron, Deputy Lab Director at Microsoft Research, and ask him all my questions. An … Continue reading Storing Data On a Piece of Glass – Microsoft’s Project Silica