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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...
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
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.
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.
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...
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.
What is 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.
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.
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.
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.
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.
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.
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.
What is DataOps? Collaborative, cross-functional analytics
DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.
Tapping into dark data for efficiency, innovation, and income
Looking in the recesses of your data silos can pay dividends for CIOs seeking to improve business processes and drive innovation.
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.
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.
What is data architecture? A framework for managing data
Data architecture translates business needs into data and system requirements and seeks to manage data and its flow through the enterprise.
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