Remove Data-driven Remove Digital Transformation Remove Predictive Modeling Remove Uncertainty
article thumbnail

Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Putting data in the hands of the people that need it.

article thumbnail

IT leaders embrace the role of business change maker

CIO Business Intelligence

You have to truly understand how systems are used, how data is entered into systems, and how it’s manipulated in order to make decisions. The effort resulted in an enterprise data platform used to track users wherever they are in the product lifecycle. Change Management, Digital Transformation, IT Leadership

IT 96
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization.

article thumbnail

Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

article thumbnail

Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.