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IT and analytics leaders seeking to convey actionable insights from their organization’s data must learn how to tell compelling stories with data, emphasizing context and narrative.
Few organizations are truly positioned to deliver on the promise of data-driven decision-making. Here’s how to tell if yours is one.
Global CDIO Anupam Khare’s targeted forays into AI and predictive analytics are fueling continued growth and paving new roads to success for the manufacturer of specialty vehicles.
The market for data science talent is tight. To stand out, IT leaders advise establishing innovative, purpose-driven roles that ensure data scientists can thrive at your organization.
Executives are constantly striving to get their businesses ahead of competitors, so expectations are particularly high for analytics that predict upcoming opportunities. As adoption advances, there will be five major shifts in how these systems are u
These five companies are using digital twins to monitor operations, plan predictive maintenance, improve customer service, and optimize their supply chains.
The chances are that most of the data you collect — from human communications to machine logs — is piling up with little plan for actualizing its potential. Good governance and AI can help.
The VP of audience modeling and data science views success of data-driven products and practices as a measure of strong business partnerships and a culture steeped in empathy.
Data visualization is the presentation of data in a graphical format to make it easier for decision makers to see and understand trends, outliers, and patterns in data.
AES digital chief Alejandro Reyes turns up the heat on data analytics and AI as customers and commercial clients take a more proactive approach to responsible energy usage and sustainability.
The ongoing data scientist shortage sees enterprises reconfiguring data teams, upskilling promising employees, and partnering to improve talent pipelines.
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