White Paper 

4 AI + 2 GenAI Use Cases That Bring Early Value

A selection of some of the most relevant business cases, (Gen)AI-powered bringing actionable results.

4AI+2GenAIUseCases

Key Insights

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Discover 4 AI and 2 Generative AI proven use cases that deliver tangible, measurable business value in the near-term.

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Learn how to identify "early value" AI initiatives that minimize execution risk while maximizing ROI.

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Understand the critical factors for successfully implementing AI-powered solutions, from technical requirements to organizational change management.

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Get insights into how leading organizations are using AI to enhance customer experiences, optimize production processes, automate workflows, and more.

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Find out how to build momentum and buy-in for AI/GenAI adoption by showcasing the benefits of early value use cases.

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Explore strategies for scaling your AI/GenAI initiatives beyond the initial use cases to transform your entire organization.

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Who should read this white paper

This white paper provides a roadmap for identifying and implementing "early value" AI and GenAI use cases that deliver measurable business impact. Drawing from real-world examples, it explores 6 proven use cases that leading organizations have leveraged to enhance customer service, optimize production, enable cross-selling, automate processes, and more.

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Business and Digital Innovation Leaders

Drive tangible value from AI and Generative AI investments for enhancing customer experience, optimize processes and improve efficiency.

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IT & Data Professionals

Gain practical solutions for developing and scaling AI/GenAI capabilities across your organization.

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Any professionals...

Interested in learning how leading organizations are getting real results from AI and Generative AI today.

Content Visual GenAI AI Use cases White Paper CBTW

Content

Foreword
01. Superior Customer Service Quality with AI
02. Improving Production Processes with Predictive Quality
03. Understand Customers, Enable Cross-selling & Enhance Customer Experience
04. AI-driven Process Automation
05. Enhancing Customer Satisfaction with LLM-based Chatbots
06. GenAI-powered Data Extraction to Automate CRM System Migration
What's next after getting started with the right use case(s)?

Our Authors

Anna Brandt Generative AI & NLP Innovation Manager CBTW
Anna Brandt

Generative AI & NLP Innovation Lead

Michael Aringer
Michael Aringer

Data Science & Computer Vision Innovation Lead

Alona Liuzniak Data Scientist Responsible AI and GenAI
Alona Liuzniak

Data Scientist

Michael Brunzel Data Scientist Generative AI NLP CBTW
Michael Brunzel

Generative AI Tech Manager

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