Dataconomy

JULY 24, 2017

Today, most banking, financial services, and insurance (BFSI) organizations are working hard to adopt a fully data-driven approach to grow their businesses and enhance the services they provide to customers. Like most other industries, analytics will be a critical game changer for those in the financial sector. Though many BFSI. The post The Impact of Big Data on Banking and Financial Systems appeared first on Dataconomy.

Big Data 196

Big Data Big Data Analytics Analytics 196

Eugene Yan

JULY 25, 2017

Sharing about why data science, data science myths, a typical day, and more with TIA.

Data Science 130

Data Science 130

Hacker News

JULY 5, 2017

[update] I'm on some list now that I have written an article about some kind of "bomb", ain't I?

65

65

Depends on the Definition

JULY 29, 2017

In this post we will introduce multivariate adaptive regression splines model (MARS) using python. This is a regression model that can be seen as a non-parametric extension of the standard linear model.

Python 52

Python 52

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

Dataconomy

JULY 12, 2017

Agility and reactivity. These are two words more likely now than ever to feature in a corporate strategy session. Today’s business landscape is, after all, highly dynamic: increasing competition, margin pressures and the threat of disruptive innovation all conspire to erode the market shares of the complacent. The public sector. The post What is really driving public opinion?

Analytics 195

Analytics Analytics Big Data Big Data 195

Dataconomy

JULY 3, 2017

In recent years’ evidence has been mounting that points to a crisis in the reproducible results of scientific research. Reviews of papers in the fields of psychology and cancer biology found that only 40% and 10%, respectively, of the results, could be reproduced. Nature published the results of a survey of. The post 10 Rules for Creating Reproducible Results in Data Science appeared first on Dataconomy.

Data Science 191

Data Science 191

Dataconomy

JULY 4, 2017

The Golden State Warriors are on top of the NBA after winning their second championship in three years. They have been in the finals for three consecutive years, set the regular season wins record at 72 wins in the 2015-16 season, and came one game away from going undefeated through. The post Winning with Data Science, Golden State Warriors Style appeared first on Dataconomy.

Data Science 190

Data Science Big Data Big Data Analytics 190

Dataconomy

JULY 21, 2017

This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list. Just to give you a quick recap, I covered the following terms in my first. The post 75 Big Data terms everyone should know appeared first on Dataconomy.

Big Data 186

Big Data Big Data Hadoop Data Science 186

Dataconomy

JULY 31, 2017

Introduction A couple of months ago a client of mine asked me the following question: “What is the faster data structure object in Python for Big Data analysis today?” I get questions like this one all the time. Some of them are not easy to solve at all and it. The post High Performance Big Data Analysis Using NumPy, Numba & Python Asynchronous Programming appeared first on Dataconomy.

Big Data 183

Big Data Big Data Data Analysis Data Analysis 183

Dataconomy

JULY 28, 2017

Big Data could not be described just in terms of its size. However, to generate a basic understanding, Big Data are datasets which can’t be processed in conventional database ways to their size. This kind of data accumulation helps improve customer care service in many ways. However, such huge amounts. The post 10 Challenges to Big Data Security and Privacy appeared first on Dataconomy.

Big Data 182

Big Data Big Data Database 182

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

Dataconomy

JULY 5, 2017

The advent of a sharing economy has brought a sea of change to the way we commute in the city. The Lyfts of the world have made taxi riding convenient, affordable and safe. These rides have emerged as a strong alternative to public transport, clocking millions of rides per month. The post Leveraging your GPS data using Geospatial Analytics appeared first on Dataconomy.

Analytics 173

Analytics Analytics Data Science 173

Dataconomy

JULY 10, 2017

An innovation that creates a new value network and market, and disrupts an existing market and value network by displacing the leading, highly established alliances, products and firms is known as Disruptive Innovation. Clayton M. Christensen and his coworkers defined and analyzed this phenomenon in the year 1995. But, every. The post Big Data’s Potential For Disruptive Innovation appeared first on Dataconomy.

Big Data 168

Big Data Big Data Big Data Analytics Big Data Analytics 168

Dataconomy

JULY 19, 2017

Selecting a database technology to build your new application on is often a complex and even stressful process. While the business use case for the application is pretty straightforward, the nuances of the data platform that will power it are often much less clear, with the decision on what technology. The post Three signs you might be experiencing a NoSQL hangover appeared first on Dataconomy.

Database 158

Database Big Data Big Data Data Science 158

Dataconomy

JULY 18, 2017

Data security is being pushed to the top of the agenda by the new General Data Protection Regulation that comes into force next May, and that means a focus on issues that many organisations have neglected. Companies across the globe that process data about European Union (EU) individuals will need. The post Disaster recovery plan essential under GDPR appeared first on Dataconomy.

Big Data 157

Big Data Big Data 157

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Dataconomy

JULY 7, 2017

The money in your pockets has three basic traits – it’s tangible, centrally regulated and easy to counterfeit. Bitcoin is the exact reversal of it. Bitcoin is a cryptocurrency that operates independently without banking institutions and the government meddling into its affairs. There’s nothing physical about it – it’s all. The post A Brief History of Bitcoin – And where it’s going next appeared first on Dataconomy.

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156

Dataconomy

JULY 17, 2017

Simply put, non-subscription churn happens when users or customers, who can end their relationship with your business at any time, leave your website or sales funnel. These types of customers may gradually reduce their purchase frequency over time, or they may all of a sudden never buy again. Companies in nearly. The post How to Combat ‘Non-Subscription Churn’ with Predictive Analytics appeared first on Dataconomy.

Predictive Analytics 154

Predictive Analytics Analytics Analytics 154

Dataconomy

JULY 26, 2017

Every year, data science experts, practitioners, and enthusiasts are known to flock to a variety of exciting and informative conferences around the world. At these conferences, experts and luminaries in the field of data science will congregate to share experiences and ideas and inspire their colleagues in the industry. There. The post The 5 Hottest Data Science Conferences of the Summer appeared first on Dataconomy.

Data Science 143

Data Science 143

Depends on the Definition

JULY 31, 2017

When running experiments with deep neural nets you want to use appropriate hardware. Most of the time I work on a thinkpad laptop with no GPU. This makes experimenting painfully slow. A convenient way is to use an AWS instance, for example the p2.

AWS 40

AWS Deep Learning Deep Learning 40

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI