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DataOps

Insurance Companies Will Shape the Future of Cyber Security

Accelerate AI DataOps Financial Services Tools & Languages Cyber Securityposted by Cort Johnson January 26, 2018

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

Accelerate AI DataOps Government Technology Tools & Languages Governmentposted by John Cook January 20, 2018

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

Data Science Projects, Tips for successful implementation

DataOps Modeling Statistics Tools & Languages Workflow Businessposted by Diego Arenas, ODSC January 10, 2018

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

Accelerate AI DataOps DS @ Scale Technology Tools & Languages Big Data|Businessposted by Uli Bethke January 9, 2018

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

Data Wrangling DataOps Modeling Statistics Tools & Languages Introposted by Damon Civin December 1, 2017

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

Conferences DataOps Tools & Languages ODSC East 2017posted by ODSC Team November 16, 2017

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

Accelerate AI Data Wrangling DataOps Modeling Technology Tools & Languages Businessposted by Joy Beatty November 14, 2017

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

Conferences DataOps Tools & Languages Business|Data Science|Managementposted by George McIntire, ODSC November 6, 2017

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

Conferences DataOps Tools & Languages ODSC East 2017posted by Cosmin Laslau May 7, 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