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Returning to NYC for Executive Collaborations
Explore comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations in NYC on June 5th. Learn more about how you can attend.
Evolution of the AI Landscape
The AI landscape is rapidly evolving, presenting a challenge for CIOs, data, and AI executives as they struggle to determine priorities.
Insights from the AI Readiness Report
Tech entrepreneur Bruno Aziza provides an overview of Scale AI’s AI Readiness Report and outlines key questions every executive should be asking about gen AI.
Key Findings from the AI Readiness Report
- Adoption: Last year, 19% of companies had no plans for gen AI, which has now decreased to just 4%.
- Production: The percentage of companies in production with gen AI has increased from 21% last year to 38% this year.
- Challenges: The primary barrier encountered when deploying gen AI is security and governance.
Essential Questions about Gen AI
- Identifying Use Cases: How should you determine the right gen AI use cases to pursue?
- Budgeting: What is the best approach for budgeting for gen AI?
- When to Avoid Gen AI: In what situations should you refrain from using gen AI?
Applications of Generative AI
Generative AI use cases can be categorized into internal customers, external customers, and embedding in existing applications.
- Internal Customers: Enhance performance by bettering data, optimizing content creation, coding, and summarization for various departments.
- External Customers: Utilize gen AI for customer support chatbots or personalized applications like Wayfair Decorify.
- Embedding in Existing Applications: Enhance targeted use cases in applications such as ERP, HCM, or CRM, emphasizing the importance of data value and sensitivity.
Explore the diverse applications of generative AI and its potential benefits across various sectors.
Remember the importance of selecting appropriate use cases based on the unique requirements of your organization to leverage the full potential of gen AI capabilities.
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