Data Science

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How to choose a cloud machine learning platform

12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle

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Top 15 tools for predictive analytics

Predictive analytics tools comb through your data to divine visions of your business future. Here’s an overview of the wide array of options available today.

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Insight everywhere: The state of analytics in 2020

Analytics has made itself indispensable for everything from business planning to infrastructure optimization. A set of five articles brings the broad benefits of data-derived insights to life.

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Healthcare analytics: 4 success stories

These four healthcare organizations are using analytics to drive better patient outcomes, streamline operations and cut costs.

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15 hot tech skills getting hotter -- no certification required

Employers are apt to invest more often in cash premiums for noncertified tech skills compared to certifications. Here are a few they’re coveting the most now and going forward.

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9 emerging job roles for the future of AI

Artificial intelligence is fast proving a business differentiator. Here are the key roles and skills you may soon need to fill for your AI A-team.

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For data scientists, drudgery is still job #1

Data cleaning and preparation still eats up nearly half the workload of data scientists, according to Anaconda’s new survey

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Kaggle: Where data scientists learn and compete

By hosting datasets, notebooks, and competitions, Kaggle helps data scientists discover how to build better machine learning models

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Why data analytics initiatives still fail

Strong data analytics is a digital business imperative — and it all begins with data governance, the right strategy and an emphasis on data-conscious culture.

Nick Daffan, CIO, Verisk Analytics

5 fundamental steps for turning your data into an asset

Nick Daffan, CIO of Verisk Analytics, on how engaging data scientists, finding quick wins, and providing flexible technology are key to your data strategy.

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3 ways to apply agile to data science and dataops

Take an agile approach to dashboards, machine learning models, cleansing data sources, and data governance

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Where enterprise IT can really apply AI

Artificial intelligence is no magical solution but the technology has real-world uses in a variety of enterprise systems, especially around analytics and anomaly detection use cases.

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Upskilling transforms Jabil employees into data scientists

The global manufacturing services provider struggled to find data scientists to leverage its data, so it developed them internally with its Citizen Data Science program.

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Data science during COVID-19: Some reassembly required

Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift

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Predictive analytics gives Owens Corning an edge in turbine blade development

With help from the manufacturer's analytics center of excellence, the Owens Corning innovation group has reduced the time it takes to test composite materials from weeks to hours.

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Decision support systems: Sifting data for better business decisions

Decision support systems are a subset of business intelligence aimed at helping organizations make informed business decisions based on vast troves of analyzed data.

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9 tools that make data science easier

New tools bundle data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.

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How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’

Only a common public health infrastructure of AI, cloud computing, streaming, and the Internet of Things can marshal our data against pandemics

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