Dataconomy

SEPTEMBER 1, 2017

Data innovation and technology are a much discussed but rarely successfully implemented in large financial services firms. Despite $480 Billion spent globally in 2016 on financial services IT, the pace of financial innovation from incumbents lags behind FinTech which received a comparatively puny $17 Billion in investment in 2016. What. The post Why large financial institutions struggle to adopt technology and data science appeared first on Dataconomy.

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Data Science 196

Eugene Yan

SEPTEMBER 24, 2017

How being a Lead / Manager is different from being an individual contributor.

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Data Science 100

Explosion

SEPTEMBER 5, 2017

In this video, we’ll show you how to use Prodigy to train a classifier to detect disparaging or insulting comments. Prodigy makes text classification particularly powerful, because you can try out new ideas very quickly.

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Christian Haschek

SEPTEMBER 9, 2017

**In this project I'll upgrade a cheap fish tank LED light to be dimmable, controllable via Wifi a

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

Depends on the Definition

SEPTEMBER 9, 2017

This is the second post in my series about named entity recognition. If you haven’t seen the first one, have a look now. Last time we started by memorizing entities for words and then used a simple classification model to improve the results a bit.

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Python 40

Dataconomy

SEPTEMBER 8, 2017

For many people, the concept of Artificial Intelligence (AI) is a thing of the future. It is the technology that is yet to be introduced. But Professor Jon Oberlander disagrees. He was quick to point out that AI is not in the future, it is now in the making. He began by mentioning Alexa, The post AI – The Present in the Making appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 27, 2017

Artificial Intelligence has the potential to greatly improve and change education systems across the world. There is a strong possibility for artificial intelligence to be used to help teachers effectively streamline their instruction process and to help students receive much more personalized help that is specifically suited to their strengths. The post The Future of Artificial Intelligence in Education appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 20, 2017

Artificial Intelligence is one of the most exciting fields of growing technology. There are incredible advancements in AI happening on a regular basis. Many of the top universities around the world are involving themselves in some very interesting and exciting AI projects. These projects cover a pretty wide range of. The post The 5 Most Exciting University AI Projects appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 13, 2017

With “Brexit” looming over Britain, a promising new startup hub is emerging in Europe: Berlin’s Silicon Allee. As a comparison between London and Berlin demonstrates, chances are the latter may claim the position as EU’s most important startup ecosystem. But it takes a lot more to stand a chance against. The post Berlin vs San Francisco: Why Berlin’s Silicon Allee is Europe’s new Silicon Valley appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 11, 2017

I recently read an article (paywall) in the WSJ about Paul Allen’s Vulcan initiative to curb illegal fishing. It’s insightful and sheds light on Big Data techniques to address societal problems. After thinking on the story, it struck me that it could be used as a pedagogical tool to synthesize data science. The post When Data Science Alone Won’t Cut it appeared first on Dataconomy.

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Data Science Big Data Big Data 185

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Dataconomy

SEPTEMBER 25, 2017

Does a swipe mean more than click? Does a hover indicate indecision and a firm push mean certainty? As touchscreens begin to dominate internet interaction, can we learn more from a human gesture than we did from the click of a mouse? And if we can, what are the benefits? The post Data-driven Marketing Insights at your Fingertips appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 6, 2017

The cloud continues to play a crucial role in business. With cloud applications being used at every department of an organization, it’s important that the same security controls that organizations have relied on to protect their on-premises IT infrastructures is also extended to the cloud. Companies currently use 1,427 cloud services, The post Unlock the Cloud’s Potential: Security Tools and Best Practices appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 4, 2017

As Artificial Intelligence advances, its applications and purposes will naturally expand. It is possible that at some point in the future, AI is integrated into political systems around the globe in a crucial and important way. There are a wide variety of avenues for this integration – it can go. The post Can AI be used to run Political Systems?

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Dataconomy

SEPTEMBER 15, 2017

With its unlimited size, an Enterprise Knowledge Graph contains all of an organization’s data — structured, unstructured, internal or external — presented as trillions of interlinked facts made available in any combination, on-demand to approved users. The Enterprise Knowledge Graph enables organizations to take advantage of in-memory computing at cloud-scale.

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Dataconomy

SEPTEMBER 18, 2017

Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages. Digitalization and the introduction of machine learning into day-to-day business processes have. The post Securing Competitive Advantage with Machine Learning appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 20, 2017

Data Natives workshops are always poised to be major career-enhancers – but especially this year. Besides highlighting pathways for professional growth in fields like Machine Learning, IoT, AI, and entrepreneurship, DN2017’s workshops are at the top of their game when it comes to helping attendees identify the most advantageous opportunities. The post These 5 Data Natives Workshops could change your career appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 28, 2017

On October 12th, Cloudera will be in Munich composing a series of straightforward approaches and concise strategies for companies preparing for one of Europe’s biggest regulatory reshufflings of data ever. Register now to find out what tactics, methods and tools are best suited for you. May 25th, 2018 is. The post Preparing your team and your tech for GDPR appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 18, 2017

A global community of data science and technology enthusiasts will gather in Berlin in November for the third Data Natives conference. Europe’s premier event for the data-driven generation, Data Natives is the meeting point for some of the greatest minds in data science, technology, and business. More than 1500 people. The post THE DATA NATIVES CONFERENCE IS BIGGER, BETTER & BACK IN BERLIN appeared first on Dataconomy.

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Data Science 153

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Dataconomy

SEPTEMBER 29, 2017

Financial markets offer countless ways of making (or losing) money. A key distinction among them is the investment horizon, which can range from fractions of a second to years. Previously, I sat down to talk about investing and data with co-founders of new investment management firms representing the high-frequency and. The post INVESTING, FAST AND SLOW PART 3: FROM SATELLITES TO STOCKS appeared first on Dataconomy.

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Dataconomy

SEPTEMBER 27, 2017

Now that business is moving nearly as fast as data does, the tech world is constantly forging new and exciting professional paths in a range of different industries – that is, if we know where to look for them. Timing is everything and disruption is still stronger in some areas. The post DN2017: 4 big trends in 4 major industries where tech disruption is now the norm appeared first on Dataconomy.

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Data Science 136

Dataconomy

SEPTEMBER 13, 2017

Data Natives Berlin 2017: A Conference for the Data-Driven Generation This November, Dataconomy’s global community of data science enthusiasts will once again gather in Berlin for the widely-celebrated, third edition of the Data Natives conference. Last year, Data Natives brought together 1295 attendees, 20 partners, 60 speakers, 20 media partners, The post Announcing Data Natives Berlin 2017!

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Data Science 122