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Premium Research Feb 2024
... forward to 2024 and beyond with a set of four predictions focusing on how data, analytics and AI will evolve in the enterprise. We also continue our interview with Rickard Wieselfors on scaling generative AI at Ericsson. Overview Gartner Recommended Reading Gartner Research ...

Analyst(s):   Edgar Macari   |   Erick Brethenoux   |   Jorg Heizenberg   |   Afraz Jaffri   |   Ehtisham Zaidi   |   Rita Sallam
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Premium Research Oct 2024
... continue to prioritize investments and planning for AI and GenAI use cases to improve productivity and enhance product and service offerings. Technology and service providers should use this research to understand the growth potential and market impact of AI and GenAI. Overview Research Highlights Gartner ...

Analyst(s):   Niketa Patel
Premium Research Apr 2025
... A one-size-fits-all AI skills curriculum will not be enough to upskill staff to realize AI benefits. AI’s constant evolution requires employees to build continuous learning habits that drive business outcomes. This case study helps CIOs partner with HR to build effective AI literacy enterprisewide. ...

Analyst(s):   Alicia Mullery   |   Graham Waller   |   Nathan Lewis   |   Sneha Ayyar
Premium Research Sep 2024
... AI is already delivering impact and will be essential in advancing performance for oil and gas companies; however, many companies struggle to scale the value. CIOs in the oil and gas industry can use this research to identify opportunities to exploit and how far to go with AI. Overview Analysis Gartner ...

Analyst(s):   Simon Cushing
Premium Research Apr 2025
... AI agents will access products with or without the assistance or even the knowledge of the product provider, risking unexpected, inaccurate or costly results. Product managers should focus on creating self-describing, business-ready and secure APIs to support product access via AI agents. Overview Strategic ...

Analyst(s):   John Santoro   |   Nicholas Carter
Premium Research Apr 2025
... This assessment plots 20 prominent use cases of AI for process manufacturing against value and feasibility. CIOs and technology leaders of these organizations can use those to start strategic conversations that guide investment decisions in AI. Overview How to Use Use-Case Scoring Breakdown Contributors ...

Analyst(s):   Kentaro Shikanai   |   Arjun Boparai   |   Alexander Hoeppe
Research Mar 2025
... Access Research Already a Gartner client? Many AI pilots never make it to production or subsequently fail to scale. To successfully expand and operationalize these AI initiatives, finance transformation leaders must focus on four fundamentals: model governance, value maintenance, data management and ...

Analyst(s):   Ash Mehta
Premium Research Jan 2025
... AI is poised to redefine customer service operations. This research identifies and ranks the top 20 AI-driven use cases that customer service and support technology leaders can leverage to transform the service department. Overview How to Use Use-Case Scoring Breakdown Pipeline Gartner Recommended Reading ...

Analyst(s):   Uma Challa   |   Bern Elliot
Premium Research Mar 2024
... Investment management firms are accelerating AI and generative AI deployment, making it vital to choose the right use cases. CIOs can use this tool to educate business leaders and their teams and help them identify use cases that reflect possible initiatives with strategic business impact. When to Use ...

Analyst(s):   Chuck Thomas   |   Priyanka Shukla
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