Sat.Oct 21, 2017 - Fri.Oct 27, 2017

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Your Local Utility Could Be the Next Big Tech Company

Dataconomy

Airbnb turns homes and apartments into hotel rooms. GE transforms age-old manufacturing and industrial processes with a data-driven industrial internet platform. Innovative companies across the spectrum are developing new technologies to upend one industry after the next, leveraging rich data streams to outperform the old models, capture market share, and.

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Guide to sequence tagging with neural networks

Depends on the Definition

This is the third post in my series about named entity recognition. If you haven’t seen the last two, have a look now. The last time we used a conditional random field to model the sequence structure of our sentences.

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I built my team at Data Natives

Dataconomy

Last year was full of exciting events. As soon as solarisBank received its banking license, a new chapter was opened for the company, as well as for me. We faced a tough but an exciting challenge: as a tech company with a banking license, we needed a strong BI team. The post I built my team at Data Natives appeared first on Dataconomy.

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Banishing Trolls at The New York Times: How AI is Helping Humans Take Out the Trash

Dataconomy

AI is already making inroads. For example, it’s now helping the human reviewers at The New York Times ferret out the trolls. Unlike the pessimistic view that robots will wipe us from the planet, this is a great example of how AI can ease our everyday lives. Instead of replacing. The post Banishing Trolls at The New York Times: How AI is Helping Humans Take Out the Trash appeared first on Dataconomy.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Targeting a Secure Future: iGaming as a Case Study

Dataconomy

In a world of wide-ranging big data, analytics that have advanced so much that they can even help scouting for the NBA, and with several high-profile data breaches in the UK and the US making worldwide headlines in 2017, it is clearer than ever before that big businesses needs to embrace. The post Targeting a Secure Future: iGaming as a Case Study appeared first on Dataconomy.

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5 reasons to attend Data Natives 2017

Dataconomy

We have liftoff! Data Natives 2017 is just a couple weeks away, and we have never had this many industry-altering speakers, workshops and networking opportunities. Anyone working in Data Science would be wise to get tickets, especially if the fields of Mobility, Health and Government impact your work (which they do). From. The post 5 reasons to attend Data Natives 2017 appeared first on Dataconomy.

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DN2017: Making a solid pitch at the Unconference

Dataconomy

As Data Natives 2017 approaches, so too does our unconference. Attending an unconference means having all the normal rules turned upside down. Lacking standardized topics, the event’s content comes from attendees writing whatever they want to hear about on a whiteboard. Next, EVERYBODY participates in the discussion in some way. Housed. The post DN2017: Making a solid pitch at the Unconference appeared first on Dataconomy.

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Some Pragmatic Ways To Find and compare business cards for startups

Dataconomy

Many a startup eventually reaches that critical point in their company’s development where CEOs and team leaders eventually end up asking themselves a sometimes perplexing question – has the time come to apply for a business credit card? What then naturally follows are other questions. Do I know the benefits. The post Some Pragmatic Ways To Find and compare business cards for startups appeared first on Dataconomy.

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Control Data Variety with an Enterprise Data Fabric

Dataconomy

Big data is everywhere: in the cloud, in different locations, and in different online applications. Organizations need a single way of unifying, accessing, and controlling these distributed resources for the best possible operational efficiency. The problem with big data is that its sources are often very dissimilar. An Enterprise Data. The post Control Data Variety with an Enterprise Data Fabric appeared first on Dataconomy.

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