Image Recognition: Opportunities for innovative Product Managers offered by Google’s Vision Edge
Image recognition is a powerful technology that can be used in multiple applications. In this brief piece, we will review the opportunities for product management with one example of an image recognition tool: Google Cloud AutoML Vision Edge. This is a service that allows businesses to build and deploy custom image recognition models on edge devices. This makes it possible to use image recognition in real time, even when there is no internet connection.
There are many opportunities for innovative product managers to use Google Cloud AutoML Vision Edge. For example, businesses can use it to:
- Automate tasks. Image recognition can be used to automate tasks such as product tagging, fraud detection, and quality control. This can save businesses time and money.
- Improve user experience. Image recognition can be used to improve user experience by providing relevant information and suggestions based on the images that users are viewing. For example, a retail app could use image recognition to recommend products that are similar to the ones that a user is currently viewing.
- Gain insights into customer behavior. Image recognition can be used to gain insights into customer behavior by tracking the images that users are viewing and the actions that they take. This information can be used to improve products and services, and to target marketing campaigns more effectively.
Here are some illustrative examples of recent use cases of innovative usage of Google Cloud AutoML Vision Edge by recent startups:
- TRYON, an AI-enabled startup specialized in designing and producing augmented reality software for jewellery e-commerce and retail stores, is using AutoML Vision Edge’s object tracking capabilities to power an augmented reality shopping experience.
- Matterport, a company that creates 3D virtual tours of real estate properties, is using AutoML Vision Edge to identify objects in images so that they can create more realistic and informative virtual tours.
- DoorDash, a food delivery service that allows users to order food from restaurants in their area, is using AutoML Vision Edge to identify food items in images so that they can ensure that customers receive the correct food items.
These are just a few examples of how Google Cloud AutoML Vision Edge and image recognition software can be used to create innovative products and services. As the technology continues to develop, we can expect to see even more innovative use cases in the future.
Wrapping up
Image recognition is a powerful emergent AI technology that can be used to automate tasks, improve user experience, and gain insights into customer behavior, among others. Therefore, image recognition tools offer a range of opportunities for product managers and businesses that want to create innovative products and services.
If you are a product manager who is looking for ways to use image recognition to improve your products or services, I encourage you to learn more about the possibilities of Google Cloud AutoML Vision Edge and other emergent image recognition tools. These tools are becoming easier to use and affordable, and offer a new domain of features that can help you to create innovative and engaging experiences for your users.
Finally, if you are further interested in how AI can empower product development today you can check this article about trends shaping the future of agile product management: https://medium.com/@dratesm/the-future-of-ai-assisted-agile-product-management-innovations-to-watch-9b59ec4336d2
Additionally, this other article focuses on the specific case of AI-assisted tools that support customer and user research: https://medium.com/@dratesm/ai-user-research-and-customer-feedback-top-tools-benefits-and-challenges-46e50ed3f730
[Note: this brief article was edited with AI assistance from Google Bard and ChatGPT]
By Diego Rates, Ph.D.
Diego has more than 7 years of designing, leading and researching technological solutions with experience in the UK and Chile, working on projects in finance, health, public services, higher education, and retail. You can connect with him on LinkedIn: (https://www.linkedin.com/in/diegoratesm/).
