Data Science
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Applying cognitive science to champion data-management adoption
Business relationship managers today have new techniques to make data management stickier. Mix it up for greater data-enablement adoption.
Top 5 strategic priorities for CIOs in 2020
IT leaders from health-care, retail and tech sectors share their strategic priorities for 2020. Hint: Analytics, automation and cloud play big roles in CIOs’ roadmaps.
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.
Data preparation tools: Your analytics strategy’s secret weapon
Data preparation is frequently cited as the leading roadblock to leveraging data within an organization. Getting the right tool for your organization can help you breakthrough.
Ticketmaster tackles tech debt with streaming data platform
Online box office takes data science enterprise-wide without rewriting all its code.
What is decision science? Transforming decision-making with data
Decision science is one of the most interesting areas of data science for businesses but it needs to be part of the data science ecosystem your organization builds.
6 tools that make machine learning easier
Vendors are taking the mystique out of machine learning by offering layers for automating data prep and algorithm choices, opening up AI to motivated, data-smart business users.
6 data analytics success stories: An inside look
Leading CIOs are successfully tapping data analytics and machine learning to achieve business goals.
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.
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