Maxime Lgd

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Only 3% of Companies’ Data Meets Basic Quality Standards

Most managers know, anecdotally at least, that poor quality data is troublesome. Bad data wastes time, increases costs, weakens decision making, angers customers, and makes it more difficult to execute any sort of data strategy. Indeed, data has a credibility problem.<p>Still, few managers have hard …

New EU data rules will get tough on privacy

Remember Y2K, also known as the “millennium bug”, which was expected to create havoc in computers around the world at the beginning of the new …

Privacy

Google leads in the race to dominate artificial intelligence

COMMANDING the plot lines of Hollywood films, covers of magazines and reams of newsprint, the contest between artificial intelligence (AI) and …

Artificial Intelligence

2018 Machine Learning Predictions from the Experts Themselves

Our vast experience with planning data science conferences across a multitude of industries has enabled us to host, listen and learn valuable …

Turning Data Into Profits: What Does It Take?

The top five data-centric enterprises — Google, Amazon, Apple, Facebook and Microsoft— recorded more than $25 billion in net profits for the first quarter of 2017 alone. Stats like that prompted <i>The Economist</i> to proclaim: “The world’s most valuable resource is no longer oil, but data.”<p>The only way …

Data Prep Goes Serverless

The rise of platforms in which cloud providers manage the allocation of computing and storages resources has opened the door to new data services …

Using Excel with pandas

Excel is one of the most popular and widely-used data tools; it's hard to find an organization that doesn't work with it in some way. From analysts, …

Python Programming

Meet the man behind the most important tool in data science

Wes McKinney hates the idea of researchers wasting their time. “Scientists unnecessarily dealing with the drudgery of simple data manipulation tasks makes me feel terrible,” he says.<p>Perhaps more than any other person, McKinney has helped fix that problem. McKinney is the developer of “Pandas”, one …

Data Science

10 Best TED Talks on Big Data and Analytics

When we come to think of big data, various schools of thoughts have contributed to its development. TED talks by various data analytics experts …

Big Data

What is Apache Spark? The big data analytics platform explained

From its humble beginnings in the AMPLab at U.C. Berkeley in 2009, Apache Spark has become one of the key big data distributed processing frameworks …

Ubiquitous Computing

The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

<b>By Eugene Kaspersky, CEO and Co-Founder at Kaspersky Lab.</b><p>I think the recent article in the New York Times about the boom in ‘artificial intelligence’ …

Big data in 2018: the experts have their say

<b>As 2017 is coming to its end, we’re already predicting what could be happening for big data in 2018; both in terms of its impact and its developments.</b><p>…

Big Data

How Big Data Is Empowering AI and Machine Learning?

Article has been originally published at Techeries.com by Shantanu Chaturvedi<p>The world is growing at an enormous speed every moment, and at the same …

You could potentially make $40K off your car

Imagine that you’re buying a $40,000 car.<p>Now imagine a world in which you could negotiate the sale of all the data generated by its five sensors: …

Personal Data

Spark tutorial: Get started with Apache Spark

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to …

Soil sensors, drones and data analytics are the new tools for farmers

Trevor Scherman had a major frost last year on his farm near Battleford, Sask., about 140 kilometres northwest of Saskatoon.<p>Data from the nearest Environment Canada weather station, about 25 kilometres away, disagreed with him – it said there was no frost in the area. Fortunately, Mr. Scherman had …

2018 Will Be the Perfect Time to Build an AI Startup

At the core, AI is actually built into many technologies currently in use, and it’s probably not as risky an investment as you might think.

Machine Learning Algorithms: Which One to Choose for Your Problem

This article will try to explain basic concepts and give some intuition of using different kinds of machine learning algorithms in different tasks. …

The 10 Statistical Techniques Data Scientists Need to Master

The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at …

Introducing Data Science for Good Events on Kaggle

Today, we’re excited to announce Kaggle’s Data Science for Good program! We’re launching the Data Science for Good program to enable the Kaggle …

4 Big Data Trends to Watch

The hope for the next generation of businesses is that the large quantities of data, which is accessible to the masses, can help in planning …

The Best Decisions Come From Real-Time Data

In order to compete and be successful, a business needs to make good decisions fast. And we all know that the best decisions are informed by good …

AI pioneer Chris Boos talks about the future of machine learning

This week on Technotopia I talk to Chris Boos, the creator of a bot that can play FreeCiv, a Civilization clone. His solution demonstrates the power of machine learning and, wildly, has beaten multiple humans at the game.<p>Boos’ company, Arago, specializes in building tools that build themselves. …

How BMW Uses Artificial Intelligence And Big Data To Design And Build Cars Of Tomorrow

BMW creates some of the most high-tech cars we have yet seen. The German giant builds 2.5 million vehicles every year and sells them all over the world.<p>But technology is not just limited to the cars it builds, its business model is built on Big Data which drives everything it does across design, …

Artificial Intelligence

Why Everyone Is Hating on IBM Watson—Including the People Who Helped Make It

You’ve probably seen the Watson commercials, where what looks like a sentient box interacts with celebrities like Bob Dylan, Carrie Fisher, and …

Monetizing data: A new source of value in payments

Payments providers are already adept at generating customer insights from data. Now, leading firms are using advanced analytics to monetize the data …

The Future Of Big Data | Articles | Big Data

The last five years have seen tremendous advances in our ability to collect and analyze data, with many organizations entering the higher echelons of …

Why SQL is beating NoSQL, and what this means for the future of data

<i>After years of being left for dead, SQL today is making a comeback. How come? And what effect will this have on the data community?</i><p><i>(Update: #1 on</i> …

How AI Could Change Amazon: A Thought Experiment

How will AI change strategy? That’s the single most common question the three of us are asked from corporate executives, and it’s not trivial to answer. AI is fundamentally a prediction technology. As advances in AI make prediction cheaper, economic theory dictates that we’ll use prediction more …