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DataOps
Why You Should Hire a Chief AI Now

Why You Should Hire a Chief AI Now

Business + ManagementDataOpsTechnologyTools & LanguagesAI|Artificial Intelligence|Businessposted by Mark van Rijmenam March 13, 2018

Artificial Intelligence is like Lego; to build something nice, you need to combine the right pieces in the right way. Most of us have played with Lego when we were small. I did at least and I absolutely loved it. I can remember the days when my friends and... Read more

Test-Driving Apache Superset

DataOpsDS @ ScalePlatformsTools & LanguagesApache|Data analysis|Open Data Scienceposted by SmartCat Data Science Team March 6, 2018

The Curious Case of Algo-Trading Dashboard For one of our recent internal projects, we needed a quick and easy way to showcase some first insights, do some plotting and interactive storytelling with the data. We also wanted to build a live, working dashboard in front of a (future) product... Read more

Abysmal Project Failure Rates – DataOps to the Rescue for AI?

Business + ManagementDataOpsTechnologyTools & LanguagesBusiness|DataOps|ODSC East 2018|Open Data Scienceposted by Sheamus March 3, 2018

Reports like the Standish Group’s CHAOS paper point to the continually abysmal failure rate of software projects. Abysmal rates vary by report, of course, but all paint the same bleak picture. Most software projects fail by some critical measure, time, budget, quality or requirements. In the context of data... Read more
IOTA – The Potential to Drive Data Science for IoT

IOTA – The Potential to Drive Data Science for IoT

DataOpsTools & LanguagesWorkflowData analysis|Open Data Scienceposted by Ajit Jaokar March 3, 2018

I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been sending me emails extolling the merits of something called IOTA – which calls itself as the next generation Blockchain.  At first, I thought of IOTA... Read more
Are data warehouses a thing of the past?

Are data warehouses a thing of the past?

Business + ManagementDataOpsTechnologyTools & LanguagesWorkflowData Science|data warehousing|structured dataposted by Naveen Joshi February 22, 2018

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

Insurance Companies Will Shape the Future of Cyber Security

Business + ManagementDataOpsFinancial ServicesTools & LanguagesCyber 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

GDPR and the right to be forgotten

Business + ManagementDataOpsGovernmentTechnologyTools & LanguagesGovernmentposted 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

DataOpsModelingStatisticsTools & LanguagesWorkflowBusinessposted 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

Successfully Transitioning your Team from Data Warehousing to Big Data

Business + ManagementDataOpsDS @ ScaleTechnologyTools & LanguagesBig 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

Some things I’d like you to know about Data Science

Data WranglingDataOpsModelingStatisticsTools & LanguagesIntroposted 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
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