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The AI Marketing Newsletter #13
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This week, Amazon, Adobe, Google, and Midjourney released new AI solutions that will impact marketing.
Amazon: The Road from AI Experimentation to Production
At the Generative AI and Data Day in London last week, Amazon Web Services (AWS) highlighted that the key to successful AI solutions is knowing the business outcome you're looking for. AWS' vice president of generative AI and AI/ML go-to-market, Rahul Pathak, explained that you should start with the customer's needs and work backwards. Still, the real success factor is figuring out what business value you're trying to drive.
Adobe Expands AI Capabilities with Firefly Video Model
Adobe has made a significant leap in generative AI with the launch of its Firefly Video Model, marking a significant expansion of its creative AI capabilities. Key features include:
1. Generative Extend: Available in Premiere Pro beta, allowing users to extend video clips seamlessly.
2. Text to Video & Image to Video: The Firefly web app now offers new capabilities for generating and manipulating video content.
3. Faster Image Generation: The Firefly Image 3 Model now generates images up to 4x faster.
4. Generative Workspace in Photoshop: Enables simultaneous ideation and concept iteration.
5. Improved Vector Model in Illustrator: Offers greater control over element density in patterns.
Adobe also unveiled new enterprise-focused features, including:
- Dubbing and Lip Sync: AI-powered translation of spoken dialogue with matching lip sync.
- Bulk Create: Streamlines large-scale image editing tasks.
Google Enhances Shopping Tab with AI and Personalisation
Google has rolled out a major upgrade to its Shopping tab, integrating AI-powered features to personalise and streamline the online shopping experience. The new shopping feed offers tailored product recommendations based on users’ activity, while enhanced visual search allows users to find products from images or screenshots. The Google demonstration shows AI offering advice before you buy a product. In the example, Google show AI recommending a winter jacket based on how low the temperature will drop in the buyer's geographical region and how much rain will fall!
And more stories...
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