Data Science

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AI technology: When to build, when to buy

Deciding whether to buy off-the-shelf AI or build your own AI-based business solutions is a complex equation based on available talent, business needs, desired outcomes, lock-in comfort and a rapidly evolving market.

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Dealer Tire gains traction with data science

Dealer Tire is predicting when tires and other automotive parts will need replacing, an approach it says will help dealership and manufacturer partners generate more revenue.

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15 data science certifications that will pay off

Looking to get ahead as a data scientist? Earning one of these data science certs will help you stand out in one of the hottest careers in IT.

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8 key roles of successful AI projects

As enterprises further develop artificial intelligence projects, they are finding that some roles are essential to success. But the right talent can be hard to find.

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St. Jude turns to the cloud to battle childhood cancer

By moving its library of genomic data to the cloud, St. Jude Children’s Research Hospital has provided a platform for scientists around the world to collaborate.

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9 biggest hurdles to AI adoption

Early adopters are beginning to reap real business results from artificial intelligence implementations. But rolling out an AI initiative isn’t without its challenges.

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Penn Medicine shortens ICU stays with real-time data

Leveraging real-time data streams from its EHR platform, Penn Medicine has created a dashboard and alerting system to speed the process of getting ICU patients breathing on their own.

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Data-driven innovation in the insurance sector

Data is being used by new entrants in many industries and the insurance sector is no different. CIOs and other senior managers can learn a lot from examining the strategies adopted by startups as they both challenge and partner with...

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4 fundamentals of data analytics for digital transformation

Creating the full customer experience picture that is the hallmark of digital transformation calls for changes not only to how data is collected and stored, but how the teams responsible for this data work together.

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Make your company’s data work harder for you

Rethinking how your company’s activities generate data and focusing on its application to business processes might release hidden sources of value. Enterprises across a range of sectors are forging ahead of their competitors through...

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The age of the citizen data scientist has arrived

Software tools are empowering business analysts to generate analytical models and insights without the help of software engineers and data-munging experts.

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Top 10 data science master’s degree programs

Thinking about getting your master’s degree in data science? Here are ten of the top schools with data science degrees worth pursuing.

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8 secrets of successful AI projects

Artificial intelligence holds great business promise, but most organizations aren’t positioned to take advantage. Here’s how early adopters are transforming AI projects into business value.

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Data scientist job decription: Tips for landing top talent

Finding good data science talent starts with a killer job description. Here’s how to get it right.

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Optimized for agility: How Mutual of Omaha builds quick-response teams

Mutual of Omaha’s SVP of finance operations, James Davenport, explains how using a data-driven approach to building teams makes it possible to move faster and meet growing customer needs.

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Developing data science skills in-house: Real-world lessons

Organizations are looking inward to fill data science needs, developing the culture, courses and programs necessary to deepen data analytics expertise.

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The hottest skills for tech contractors

Contractor hiring is on the rise. Discover the hottest skills for tech contractors and why employers are sourcing these skills from the independent workforce.

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What is a data artist? A role for drawing IT and business together

Data artists bridge the gap between business and IT by creating data visualizations that can be quickly understood by business leaders to help accelerate decision-making.

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7 secrets to predictive analytics success

Forecast the future with accuracy and confidence. Here are the tools and tactics you need to know to translate data into foresight.

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What is a data engineer? An analytics role in high demand

Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization.

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