How Technology is Giving Customers Their Power Back

When it comes to emerging technology, most consumers are often quite fearful of this kind of change. Many are concerned that automation will eliminate thousands of jobs in the near future. Others fear that their private data can be bought and sold, putting them in danger or removing any sense of privacy from the internet.

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IDG Contributor Network: 8 common business design and architecture models

Enterprise architects are often asked to prioritize initiatives and projects. To complete this task, they need their organization’s strategies, goals, tactics and objectives. Too often, these can be very difficult to gather either because architects have never been aware that they existed or sometimes because they simply and plainly don’t exist.

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15 Tips That Make Freelance Writers Successful

When I scroll through Facebook and Instagram, I often see ads from people who are freelance writers, promoting the “working from anywhere” lifestyle.
The ad copy typically goes something like this ⁠— “Would you like to be able to work on your own schedule, from anywhere in the world? That’s what I did.

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Get Ready For These Six 2020 Business Intelligence Trends

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have.
New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data.

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Why Artificial Intelligence Research is Still Relevant

As a college student, you will often be required to submit a written research paper in whatever field. For such a paper, you will have to analyze different data and come up with a hypothesis. This is where artificial intelligence comes into play. It helps you analyze data and make predictions based on your findings.

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Take a Look Inside Our Introductory UW Data Science Course

 
“What are the UW Data Science master’s program courses like?”
We often receive this question from prospective students. So, we created this post to give you an inside look at the first data science course in the curriculum, “DS 700: Foundations of Data Science”—and to answer some of the questions that may be on your mind.

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Identifying budding big data talent in your company

How to find promising candidates for upskilling within your organization.Big data is often called one of the most important skill sets in the 21st century, and it’s experiencing enormous demand in the job market. Hiring data scientists and other big data professionals is a major challenge for large enterprises, leading many to shift their efforts to training existing staff.

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Why conversion matters – a toy model

There are often close relationships between top level business metrics. For instance, it’s well known that retention has a super strong impact on the valuation of a subscription business. Or that the % of occupied seats is super important for an airline. A fun little toy model that I can up with generates a curious relationship between conversion rates and revenue.

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Customer-Facing Data Solutions Need a Product Mindset

If most customer data initiatives are risky, have low adoption, and often don’t meet their goals, what steps can we take to improve success rates? What we’ve learned at Juice over 10 years and hundreds of implementations is that customer-facing data initiatives succeed when you deliver a product, not a project.

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Online Bayesian Deep Learning in Production at Tencent

Bayesian deep learning methods often look like a theoretical curiosity, rather than a practically useful tool, and I’m personally a bit skeptical about the practical usefulness of some of the work. However, there are some situations a decent method of handling and representing residual uncertainties about model parameters might prove crucial.

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Getting Data Product Requirements Right

Often customer data products or applications go awry because of poor requirements.  While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. Merely documenting a wish list of reports, fields and filters is a recipe for low adoption and canceled subscriptions.

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