Dataconomy

OCTOBER 17, 2017

The importance of data science is only going to grow in the coming years. As we see the results of our data-empowered work take form in how we shape our businesses, our products and our own goals, we are beholden to take a reflective gaze at the relationship between our. The post Three Things Data Scientists Can do to help themselves and their organizations appeared first on Dataconomy.

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Data Scientist Data Science 195

Explosion

OCTOBER 15, 2017

As the release candidate for spaCy v2.0 gets closer, we’ve been excited to implement some of the last outstanding features. One of the best improvements is a new system for adding pipeline components and registering extensions to the Doc , Span and Token objects. In this post, we’ll introduce you to the new functionality, and finish with an example extension package, spacymoji. spaCy is an open-source library for advanced Natural Language Processing in Python.

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Dataconomy

OCTOBER 19, 2017

Cognitive applications have become constant companions at our places of work. We expect smart systems to reduce repetitive workloads and support us in uncovering new Knowledge. As a result, data scientists and software engineers are applying various machine learning algorithms to finetune results and increase processing capabilities. At the same time, The post Why you should combine Machine Learning with Knowledge Graphs appeared first on Dataconomy.

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Dataconomy

OCTOBER 18, 2017

Blockchain’s reach has gone past FinTech and is now finding more applications in cybersecurity. Threats have become more rampant and complex. As such, cybersecurity firms are now looking to leverage these emerging technologies to provide improved solutions to these threats. Distributed denial of service (DDoS) attacks remain to be among. The post Is blockchain the ultimate weapon against cybercrime?

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Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Dataconomy

OCTOBER 20, 2017

Data Natives speaker Nasir Zubairi is the CEO of LHoFT Foundation (The Luxembourg House of Financial Technology), a public-private sector initiative that drives technological innovation for Luxembourg’s Financial Services industry and Luxembourg’s hub for FinTech startups. With two decades of experience in Financial Services, he has been particularly involved in.

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Dataconomy

OCTOBER 16, 2017

It’s already less than two weeks until the Data Natives X India conference commences in none other than amazing Mumbai! With the event just around the corner and so many incredible speakers to see, we took the time to talk with one of our workshop heads, Vikramank Singh about his experience as a. The post Data Natives X India: Interview with Vikramank Singh from Facebook appeared first on Dataconomy.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 105