Data Science

Data Science | News, how-tos, features, reviews, and videos

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Melanie Kalmar, Chief Digital and Information Officer, Dow

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How to assemble a highly effective analytics team

Data-driven success hinges on strong, diverse, cross-functional data teams. IT leaders offer tips on creating and maintaining teams tuned for delivering keen data insights.

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Toyota turns to AI to speed credit decisioning

Toyota Financial Services’ Intelligent Financing Decision Engine leverages machine learning and massive data sets to accelerate credit decisioning and improve customer and dealer experience.

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Traditional ETL processes are blocking digital expansion - it’s time for an alternative

ETL has lost the race to big data. The solution is as simple as reordering the phases of traditional process integration to adopt "ELT".

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Best practices to embrace an ‘MLOps’ mindset

Most AI projects do not make it to production due to a communications gap. MLOps can help close the gap.

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8 reasons data science projects fail

Data science may be the hottest tool for solving business problems, but flawed projects can cause significant damage, leading decision-makers astray.

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video

Driving digital success through analytics: An IDG editors' roundtable

What sort of culture change is necessary for analytics to play a vital role? What’s the role of the “citizen data scientist”? And how do you ensure you’ve got good data in the first place? Join us as our panelists endeavor to provide...

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8 secrets of successful AI projects

Artificial intelligence holds great business promise, but it takes more than a working model to create scalable, transformative change

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Truck maker Oshkosh drives decisions with data

The 104-year-old manufacturer of specialty trucks and military vehicles is leveraging data to optimize its business.

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Domino’s orders up MLOps to speed up data science delivery

The popular pizza maker is tapping into the emerging MLOps field, which helps the company’s data science team refresh data models and push them into production without IT’s help.

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4 tips for launching a successful data strategy

Becoming a data-driven company isn't as simple as amassing loads of data. If it were, more companies would already be reaping the rewards. Here, four CIOs offer their experience and advice on getting started turning data into business...

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Review: 7 Python IDEs go to the mat

Which Python IDE is right for you? Here’s how IDLE, Komodo, LiClipse, PyCharm, Python extension for Visual Studio Code, Python Tools for Visual Studio, and Spyder stack up in capabilities and ease of use.

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Data governance: A best practices framework for managing data assets

Data governance defines roles, responsibilities, and processes for ensuring accountability for and ownership of data assets across the enterprise.

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3 analytics and AI trends that will dominate 2021

As enterprises continue to grapple with the pandemic, proving the ROI of analytics and AI, enabling intelligent automation, and leveraging data for diversity, equity, and inclusion will be critical.

Bhuvana Badrinathan, CIO, Convergint

Convergint builds data science team from the ground up

The installer of integrated building systems’ first-ever CIO, Bhuvana Badrinathan, launched data capabilities to predict sales revenue using automated data ingestion and feature engineering.

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Lockheed Martin accelerates data science with Domino Data Lab

The defense contractor has empowered its data scientists with self-service capabilities and centralized modeling, says Matt Seaman, chief data and analytics officer of enterprise operations.

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Patrick J. McGovern Foundation invests in AI for public good

Organization pledges $40 million for initiatives to help nonprofits and NGOs benefit from data science and to foster the responsible and inclusive use of data and AI.

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Top 5 strategic priorities for IT leaders in 2021

IT leaders from tech, insurance, and finance sectors share their strategic priorities for 2021. Self-service solutions, edge computing, analytics, and low-code development top CIOs’ roadmaps.

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How to build a successful data science training program

Data scientists are in short supply. Some companies are filling the gap by setting up training programs to reskill employees for data science roles.

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