Chathuranga Widanapathirana

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Top 15 Python Libraries For Data Science In 2017 | Articles | Chief Data Officer

As Python has gained a lot of traction in the recent years in the Data Science industry, I wanted to outline some of its most useful libraries for …

Python Programming

You can't build enterprise AI if you suck at data & analytics

Saying you use “AI” at your company may give you bragging rights at your industry meetups and even fool the media, but actually implementing …

Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found

<i>If you like this article, check out another by Robbie:</i> <i><br>The AI Entrepreneur’s Moral Dilemma</i><p>While <b>machine learning</b> has a rich history dating back to …

Machine Learning

How to Integrate Data and Analytics into Every Part of Your Organization

Many conversations about data and analytics (D&A) start by focusing on technology. Having the right tools is critically important, but too often executives overlook or underestimate the significance of the people and organizational components required to build a successful D&A function.<p>When that …

Management

5 ways businesses can cultivate a data-driven culture

The pressure on organizations to make accurate and timely business decisions has turned data into an important strategic asset for businesses.<p>In today’s dynamic marketplace, the ability for businesses to use data to identify challenges, spot opportunities, and adapt to change with agility is …

Data Warehousing

How to start incorporating machine learning in the enterprise arena

The world is long past the Industrial Revolution, and now we are experiencing an era of Digital Revolution. Machine learning, artificial intelligence, and big data analysis are the reality of today’s world.<p>I recently had a chance to talk to Ciaran Dynes, Senior Vice President of Products at Talend …

Big Data

Data Analytics Is No Longer A Nice Option -- It's The Core Of The Enterprise

Global businesses are facing increasing complexity and market volatility. In response, all business functions are turning to data-driven analytics and insights as a means to manage this increasing uncertainty, while better understanding their organizations’ customer bases and growing their …

Data Warehousing

New rOpenSci Packages for Text Processing in R

(This article was first published on <b>rOpenSci Blog</b>, and kindly contributed to R-bloggers)<p>Textual data and natural language processing are still a …

Natural Language Processing

Data Lakes: Insights From The Deep

The next generation of big data technology will lead to insights and correlations that reveal new strategies and even new business models.<p>The next …

Big Data

If Your Company Isn’t Good at Analytics, It’s Not Ready for AI

Management teams often assume they can leapfrog best practices for basic data analytics by going directly to adopting artificial intelligence and other advanced technologies. But companies that rush into sophisticated artificial intelligence before reaching a critical mass of automated processes …

Big Data

RIDE – A New Data Science IDE for Python and R

The data science world is split into two parts: the (i)Python and the R community. Both groups offer a plethora of tools and libraries enriching our …

Which deep learning network is best for you?

In “Big data – a road map for smarter data,” I describe a set of machine learning architectures that will provide advanced capabilities to include …

What does it take to be a chief data officer?

Andrew Day, chief data officer at Sainsbury’s, on why the role is about more than just governance, and how artificial intelligence is going to impact the majority of business roles.<p>How would you describe what you do and what does an average day look like?<p>My role is to help the business make better …

Every single Machine Learning course on the internet, ranked by your reviews

A year and a half ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master’s program …

Firing on All Cylinders: The 2017 Big Data Landscape

It feels good to be a data geek in 2017. Last year, we asked “Is Big Data Still a Thing?”, observing that since Big Data is largely “plumbing”, it …

Big Data

Scuba: Diving into Data at Facebook

Abstract<p>Facebook takes performance monitoring seriously. Performance issues can impact over one billion users so we track thousands of servers, …

Uber’s open source data visualization tool now goes beyond maps

You may not be aware, but Uber offers an open source version of the data visualization framework it uses internally, called deck.gl. The tool was made available to anyone via open source license last November, and now it’s getting some key updates that should help make it more useful to external …

Data Visualization

Zaloni and its Data Lake Management Approach: Interview with Scott Gidley

Home metadata Zaloni and its Data Lake Management Approach: Interview with Scott Gidley<p>analytics,<br>• big data,<br>• business intelligence,<br>• data governance,<br>• data …

Big Data

Business Intelligence vs Business Analytics - What’s the Difference?

Traditional business analytics differs from traditional business intelligence. Read this blog to find out where these differences lie and what Phocas …

So what exactly is a bot?

Kemal El Moujahid Contributor<p>Kemal El Moujahid is currently a lead product manager for the Messenger team at Facebook, working on AI-powered services such as M and driving the product management of the Messenger platform. Kemal was previously VP of Products at Fuze, a video conferencing and …

Bots

How Do Business Intelligence and Analytics Differ and Overlap?

We have great potential in the massive amounts of data collected by our businesses, and it’s the source of every company’s revitalization and …

120 Machine Learning business ideas from the latest McKinsey report.

12 sectors where automation will take over in the short term.<p>Machine learning is on the edge of revolutionizing those 12 sectors. Most leaders in …

Artificial Intelligence
Big Data

The State Of Location Intelligence Analytics & BI, 2017

• Research & Development (R&D) and executive management are two functions that place the greatest importance on location intelligence analytics and business intelligence (BI).<br>• Energy and transportation industries place the most significant emphasis on location intelligence analytics and BI today.<br>• 63% …

Big Data

How To Build A Data Science Team

Businesses today need to do more than merely acknowledge big data. They need to embrace data and analytics and make them an integral part of their …

Data Lakes vs. Data Warehousing - How Each Works in the Digital Technology Boom

McKinsey finds it’s all talk and little action with data analytics in most companies

The volume and diversity of data have grown exponentially over the last few years. Computational power and storage have increased. Algorithms have …

Big Data

Why You’re Not Getting Value from Your Data Science

Businesses today are constantly generating enormous amounts of data, but that doesn’t always translate to actionable information. Over the past several years, my research group at MIT and I have sought answers to a fundamental question: What would it take for businesses to realize the full …

Machine Learning

10 trends that will influence analytics in 2017

‘The analytics industry needs to find a way to increase its trust with the users that are its lifeblood’<p>The pace of change within the analytics …