Data Science
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6 data analytics success stories: An inside look
Leading CIOs are successfully tapping data analytics and machine learning to achieve business goals.
Spotify this: How Zulily targets shoppers with hyper-personalized offers
The online retailer turns squads of developers, data scientists and product managers loose to build machine learning software and other critical business capabilities.
The hot market for data science and analytics
The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets...
6 reasons why AI projects fail
Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.
AI’s top use cases today
Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.
Anatomy of an enterprise-scale AI strategy
Looking to move beyond point solutions and proofs of concept? Here’s what it takes to develop to a holistic AI strategy honed for business results.
What is data science? Transforming data into value
Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.
What it takes to hire top data science talent
To attract data science talent, you need a sound data strategy and an established data-driven environment in which data scientists can have an impact and do meaningful work.
Analytics success starts with a center of excellence
Data-driven organizations accelerate data transformation with an analytics COE.
6 tools that make data science easier
New tools are bundling data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.
6 ways to deal with the great data scientist shortage
Rather than wait for want ads to go unfilled, organizations should rethink, retrain, reorganize and reach out to fill the data science talent gap.
4 data analytics trends that will dominate 2019
Thinking of leveraging data analytics and data science as part of your digital transformation? An automated, back-to-basics approach and data-driven culture may be key.
7 data analytics certifications that will pay off
Data scientists and data analysts are in high demand. Here are the big data certifications that will give your career an edge.
6 tips for working with AI vendors
For most organizations, DIY artificial intelligence is out of reach. Here’s how to cut through the hype and create business value with off-the-shelf AI.
The 12 dark secrets of data science
From hidden costs to highly suspect conclusions, data science is not without its detractions and limitations — despite the ongoing hype.
Top 15 data science professional development certificates
You don’t need to go back to college full-time to land a job in data science. These 15 professional development courses are designed to accelerate your data science candidate.
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.
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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