Are data warehouses a thing of the past?
With almost everything around us becoming a source of data, it’s proving to be quite a challenge for traditional data warehouses to support such fast changing and high on volume data. So is data warehouse a thing of the past already? A huge collection of data from various sources... Read more
Insurance Companies Will Shape the Future of Cyber Security
For too long, vendors have capitalized on industry fear of breaches to sell confusing products that may or may not provide value. But fanning the flames of cyber hysteria has started to backfire. Companies now consider potential losses from a cyber breach as a cost of doing business. CFOs... Read more
GDPR and the right to be forgotten
General Data Protection Regulation The European GDPR (General Data Protection Regulation) was adopted in 2016 and becomes enforceable in May of this year. Article 17 mandates a right to erasure, more commonly called the right to be forgotten. A right to be forgotten is tricky. It’s not immediately clear what this... Read more
This is the first post of a series of three articles in which we will discuss tips and guidelines for successful data science implementations. This post goes over the things you should worry about before to write the first line of code. A high level data science project will... Read more
Successfully Transitioning your Team from Data Warehousing to Big Data
You are planning to complement your traditional data warehouse architecture with big data technologies. Now what? Should you upskill your existing data warehouse team? Or do Big Data technologies require a completely different set of skills? What do we mean by big data technologies anyway? For the purpose of... Read more
Some things I’d like you to know about Data Science
Things I’ve learned mostly by making mistakes Masses of data + cutting edge machine learning + cheap compute = Profit. Right? It’s not that simple. Data science isn’t a replacement for asking difficult questions and doing hard work based on the answers. In fact, it’s quite the opposite. Enabled by... Read more
Corporate Data Science – Angela Bassa
Presenter: Angela Bassa, Director of Data Science at iRobot Title: Corporate Data Science Level: All, Beginner, Intermediate, Advanced, Type: Premium Training, Non-technical Length: 47 minutes Overview: In this talk, Angela Bassa discusses strategies of building and maintaining successful data science teams in a corporate setting. Bassa focuses on common... Read more
Business Analytics: Requirements for Data Transformation
There is a major change happening in the IT industry — the use of big data and analytics to guide how businesses are run. Many companies are embracing analytics as part of their core strategies. Unfortunately, some of those companies think that they can just purchase an analytics solution,... Read more
On the Hard and Soft sides of DS Teams, Interview with Kishore Aradya, DS and ML Leader at Adobe
Editor’s Note: We’ve have a series of expert perspectives coming your way in podcast form from ODSC EU, and ODSC West.  Check out the growing archive here, or plan to jump ahead at ODSC East 2018 and meet them. The following Q&A is part of a series of interviews conducted... Read more
4 Strategic Takeaways from ODSC 2017
From teams and priorities to communication and crowdsourcing Lux Research recently attended the 2017 Open Data Science Conference (ODSC) in Boston, a large, multi-day event with speakers ranging from Amazon’s Data and Analytics Practice Lead to the U.S. EPA’s Chief Data Scientist. The conference presented a solid mix of... Read more