Data Science
While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Mind the gap: What lessons can be learned to upskill the UK’s workforce in data science?
The recent explosion in data, connectivity and computing power – combined with powerful, new analytics tools – has sparked huge interest in data science. In response, forward-thinking businesses are looking at how they can derive insights from big data analytics to better understand their customer base and give them a

Driving Value with Data Science
Fighting fraud, reducing customer churn, improving the bottom line – these are just a few of the promises of data science. Today, we have more data to work with than ever before, thanks to new data-generating technologies like smart meters, vehicle telemetry, RFID, and intelligent sensors. But with all that

Data Around The World Part VI: Hackathon at Stanford
As of October 4th, the STORM team is traveling the US, with exciting events such as a visit to Tesla and Google, driving on the Golden Gate bridge – and a hackathon on the STORM data at Stanford University. What was the hackathon about? A simple task: let’s crunch some

How Organizations Build Back-Ends for Big Data
For businesses to stay relevant in the 21st century and survive in an ultra competitive era, they have to continually be willing to change to stay ahead of the market curve. Change is always based on decisions and just about every Fortune 500 company knows that any important decision is

Turning Big Data from Cost to Revenue
Big Data and the Internet of Things are currently being lauded in many industries as the new frontier for business and, with seemingly ground-breaking solutions being rolled out for innumerable different use cases daily, it’s certainly not all hyperbole. At this moment, an estimated 4.9 billion sensors are connected to

5 Reasons To Attend Data Natives 2016: #3. Recruiting
Ticket prices go up this Friday, October 14! Go to datanatives.io and register for a ticket, or get instant access to speaker and schedule information on Data Natives Berlin 2016. Welcome back to the 5 Reasons to Attend Data Natives Series. We started with Building a Strong Professional Network, went on to mention

5 Reasons to Attend Data Natives 2016: #2. The Schedule
This is the second instalment of a series about the second edition of Data Natives. I guess that ‘Doubles’ is the theme of this post. This time, we’ll talk about the conference schedule. By the way, the conference is approaching soon, so don’t sleep on the last chances to attend

Why Employers Miss Millennial Data Scientists
The Great Recession may have made many Millennials more sober about their job prospects but for the most talented of my generation, the economic difficulties of 2008 hardly registered as anything more than steeper online shopping discounts. In fact, in the last 8 years, they have become increasingly difficult to court

“Finding a relevant, trustworthy dataset can be like finding a needle in a haystack” – Interview with Satyen Sangani
Satyen is the CEO of Alation. Before Alation, Satyen spent nearly a decade at Oracle, ultimately running the Financial Services Warehousing and Performance Management business where he helped customers get insights out of their systems. Prior to Oracle, Satyen was an Associate with the Texas Pacific Group and an Analyst

Interview with Angela Bassa, Data Science Manager EnerNoc – AI With The Best 2016
Angela Bassa is in charge of the data science team at Energy software intelligence provider EnerNOC — ultimately helping over 1,100 software subscription customers serving over US$1 billion in customer savings to date. With an impressive career trajectory discovering data science while studying math at MIT, Angela also serves as Data Science