Dataconomy

NOVEMBER 16, 2016

Over the last decade, we have seen massive changes in technology. It now has a role in nearly every aspect of our lives, including health care technology. Since technology is changing every industry, MW Homecare decided to focus their infographic on health care technology and how it is disrupting and changing. The post Infographic: How Tech Is Disrupting The Traditional Healthcare Market appeared first on Dataconomy.

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Eugene Yan

NOVEMBER 26, 2016

A simple web app to classify fashion images into Amazon categories.

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Explosion

NOVEMBER 9, 2016

Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed, encode, attend, predict. This post explains the components of this new approach, and shows how they're put together in two recent systems.

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Dataconomy

NOVEMBER 11, 2016

Following the success of our Creating Data-as-a-Service Products at Data Natives, Elizabeth Press from D3M Labs and Dataconomy are joining forces to give your organization the opportunity to jump start your next innovative data product. Contact us to book a training specifically designed for your organization. Even though analysts publish optimistic.

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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

Dataconomy

NOVEMBER 21, 2016

Nicolas Boudot is the EMEA Director at Softbank Robotics, where he has been responsible for partnerships and for promoting the use of humanoid robots in the B2B, educational and consumer markets, since 2001, when Aldebaran Robotics, the makers of Nao humanoid robots, was acquired by Softbank Mobile. He has. The post “AI is the next step for robots” – A Conversation with Nicolas Boudot appeared first on Dataconomy.

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Dataconomy

NOVEMBER 14, 2016

There’s a long history of industries undergoing massive transformations fueled by the power of digital data. The moment has arrived for data to help reshape one of the largest industries of the digital age: marketing. 2016 has been a challenging year for the marketing community, with an eye-opening media transparency. The post Data Transparency Could Fix Digital Marketing appeared first on Dataconomy.

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Dataconomy

NOVEMBER 10, 2016

Today, we’re more connected than ever thanks to the prevalence of smartphones in our lives, and their integration with Cloud services. This comes at a cost, however. With so much of our personal information online, data breaches are becoming more common. So what exactly is a data breach? In essence, The post Are Consumers Accepting Data Breaches as the New Normal?

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Dataconomy

NOVEMBER 18, 2016

Introduction There’s a lot of buzzword around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is. Opinion Mining and Sentiment Analysis After publishing this report, your client comes back to you. The post Opinion Mining – Extraction of opinions from free text appeared first on Dataconomy.

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Dataconomy

NOVEMBER 28, 2016

Kevin Mahaffey is an entrepreneur, investor and engineer with a background in cybersecurity, mobile and machine intelligence. He is CTO and Founder of Lookout, a cybersecurity company dedicated making the world more secure and trustworthy as it becomes more connected, starting with smartphones and tablets. He started building software when. The post “You can’t stop the device from getting hacked, you have to defend your data” – A Primer with Kevin Mahaffey appeared first on Dat

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Internet of Things 176

Dataconomy

NOVEMBER 4, 2016

The STORM team is back home. In 80 days, they have traveled the earth, showing that electric driving is possible – and very cool. They showed that a strong team can accomplish amazing thing and change the world, by building their own bike and traveling around it. Digital transformation The. The post Data Around the World – Part VIII: The End of the Tour appeared first on Dataconomy.

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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

NOVEMBER 3, 2016

Analysis is easy. It’s rational and straightforward. Understand the relatively linear set of steps for populating an analytic model and you’re set for success. Finding insights is the part of the data process that is hard. It requires the non-linear skill of interpretation. Interpretation is inexact, it requires judgement and. The post The White Rabbit, Cheshire Cat and Your Analytics Wonderland: How Data Curation Reminds Me of a Familiar Childhood Journey appeared first on Dataconomy.

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Dataconomy

NOVEMBER 9, 2016

All over the world, companies are losing millions of dollars because of data loss and unexpected downtime. This is a result of the majority of businesses being behind the times with respect to their data protection and restore plans, not to mention failed backups, and various compliance requirements being put. The post Tips All CIOs Should Know About Backup Reporting and Management appeared first on Dataconomy.

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Dataconomy

NOVEMBER 1, 2016

The last stage of the STORM 80-day tour will be driven on November 2 – from Paris to Eindhoven, accompanied by many electrical vehicles. Hacking at ITility In the meantime, we used the results from the hackathon at Stanford University, to dig deeper into that same data set during the. The post Data Around The World – Part VII: Hacking at ITility appeared first on Dataconomy.

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Dataconomy

NOVEMBER 15, 2016

“Data is part of our new cultural identity, transforming the way we communicate, learn and interact.” – This is the credo of the Data Natives conference, and one of the speakers at the event, Klaas Bollhoefer from The unbelievable Machine Company (*um), is taking it one step further: He adds. The post Data Thinking meets Data Natives – A New White Paper by *um appeared first on Dataconomy.

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Data Science 134

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.

Eugene Yan

NOVEMBER 1, 2016

Got accepted into Georgia Tech's Computer Science Masters!

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Computer Science Computer Science 100

Dataconomy

NOVEMBER 30, 2016

You may not see it, but it’s there. Artificial intelligence, that is. It’s beating us at our most complicated games, helping curate the news we read every day, ever improving our search results, driving our cars, and on and on and on. We’ve entered into what some experts are calling. The post AI Is Disrupting Everything And These 3 Industries Are Next appeared first on Dataconomy.

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Explosion

NOVEMBER 9, 2016

Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed , encode , attend , predict. This post explains the components of this new approach, and shows how they’re put together in two recent systems. spaCy v2.0 now features deep learning models for named entity recognition, dependency parsing, text classification and similarity prediction based on the architectures d

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Dataconomy

NOVEMBER 23, 2016

Following the success of our Creating Data-as-a-Service Products at Data Natives, Elizabeth Press from D3M Labs and Dataconomy are joining forces to give your organization the opportunity to jump start your next innovative data product. In addition to and in combination with our Creating Data-as-a-Service Products workshop, D3M Labs is offering specialized workshops for.

Data Science 194

Data Science 194

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