IBM Case Study – KSL TV

IBM Case Study – KSL TV

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KSL-TV Case Study from The Weather Company, an IBM Business

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Business challenge

KSL-TV sought an innovative weather solution that could help it build its brand across digital channels and drive advertising revenue.

Transformation

In Utah, weather matters. And for 70 years, KSL-TV has been a premier source of local coverage, helping to keep its community informed and out of harm’s way.

Using The Weather Company’s Max Engage with Watson™ solution, KSL-TV is becoming a force in the digital arena with localized and personalized content that is helping to engage a new generation of viewers.

IBM Watson Weather Channel Case Study Image 2

“The Weather Company enabled us to have the tools to implement our future vision for this TV station.”

Kevin Eubank, Chief Meteorologist, KSL-TV

With the widespread adoption of mobile apps and social networks, today’s audience wants personalized, relevant content pushed to them throughout the day on their preferred platform. This new media landscape creates tremendous opportunities for deeper engagement. But if you cannot effectively produce, distribute, and monetize your content, you may lose viewers – and advertising revenue – to the competition.

Max Engage with Watson from The Weather Company, an IBM Business, is designed to drive deeper audience engagement by complementing your hyperlocal expertise with augmented intelligence (AI) and automation technology. The result is a solution that helps you more rapidly produce high quality stories that are tailored for every screen without adding to your staff. 

Max Engage with Watson is designed to help you:

  • Streamline workflows and distribute stories more rapidly by simultaneously posting to mobile, web, social, and SFTP
  • Meet viewer demand for weather and traffic updates throughout the day by delivering personalized, relevant, and curated content 
  • Increase engagement by targeting only impacted users through automated geo- fencing capabilities and push notifications 
  • Add hyperlocal weather and traffic context by incorporating your trusted talents’ perspectives and voices within your content 
IBM Watson Weather Channel Case Study

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