AI Driven Workflow for Fast News Graphic Production

Introduction

This workflow outlines an AI-integrated approach for the rapid production of news graphics. By leveraging advanced AI tools, news organizations can streamline their processes, enhance creativity, and improve efficiency in visual storytelling across various platforms.

Initial Content Intake

1. News stories and data are received through wire services, reporters, and other sources.
2. An AI-powered content management system, such as Nota AI, automatically categorizes and tags incoming stories based on topic, urgency, and relevance.

Story Selection and Planning

3. Editors review the AI-categorized stories and select those suitable for graphic treatment.
4. An AI editorial assistant, like Jarvis AI, suggests potential graphic angles and data points to visualize for each story.

Rapid Graphic Creation

5. Designers utilize an AI-powered design tool, such as Adobe Firefly, to quickly generate initial graphic concepts based on the story details.
6. Adobe Sensei’s AI capabilities automatically recommend color palettes, fonts, and layouts optimized for the story type and target audience.
7. Designers refine and customize the AI-generated concepts.

Data Visualization

8. For data-intensive stories, a tool like Flourish AI automatically creates charts, maps, and infographics from datasets.
9. Designers adjust and style the auto-generated visualizations to align with brand guidelines.

Animation and Motion Graphics

10. For video content, an AI motion graphics tool, such as Designs.ai, automatically animates static graphics and creates video templates.
11. Editors can quickly customize these templates for various social media platforms.

Graphic Review and Approval

12. An AI-powered proofing system, like Filestage, automatically checks graphics for brand compliance and flags potential issues.
13. Editors and stakeholders review and approve graphics digitally.

Multi-Platform Publishing

14. An AI distribution system, such as Hootsuite’s OwlyWriter, automatically resizes and optimizes approved graphics for different social media platforms and digital channels.
15. The system schedules graphics for publication alongside related stories across platforms.

Performance Tracking

16. AI analytics tools track graphic performance across platforms, providing insights on engagement and reach.
17. This data is fed back into the AI systems to continually enhance graphic suggestions and optimizations.

This AI-integrated workflow significantly accelerates the graphics production process while maintaining quality and consistency. It enables news organizations to create more visual content across platforms with existing resources. The AI tools augment human creativity and decision-making rather than replacing them entirely.

To further enhance this workflow, organizations could:

• Implement computer vision AI to automatically generate descriptive alt text for accessibility.
• Utilize natural language processing to auto-generate graphic captions and social media copy.
• Integrate AI-powered asset management to suggest relevant archived graphics and footage.
• Employ predictive AI to forecast which graphic styles and topics are likely to perform well.

By thoughtfully integrating these AI capabilities, news organizations can establish a highly efficient, data-driven graphics workflow that enhances their visual storytelling across all platforms.