Remove Artificial Inteligence Remove Framework Remove Technical Review
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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.

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Leveraging New Technologies: 3 Tips for Product People

Roman Pichler

Listen to the audio version of this article: [link] Make Time to Keep up with Technology Trends As new technologies come and go, it’s important for you—the person in charge of the product—to stay on top of the developments. The following four measures will help you with this.

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510: How to use these AI tools to create a product brief – with Brian Collard

Product Innovation Educators

Brian has been working for 15 years in different industries like finance, healthcare, and technology. We’re talking about how artificial intelligence (AI) is changing the way we manage products and come up with new ideas. Before using AI, check your organization’s policy to make sure you’re in compliance.

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No 16. Some AI Learning Resources & Insights

UX Planet

Since joining Microsofts AI team last year, Ive found myself diving headfirst into the world of artificial intelligence. What began as an overwhelming experience, trying to grasp concepts and frameworks, has now turned into a passion project that Im eager to share with you. Learn more at Empathy &AI.

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Transforming user experience in cars-as-a-service industry through Strategic AI/ML Integration — a…

UX Planet

As I delve deeper into understanding the capabilities and limitations of Artificial Intelligence, I see an opportunity for AI/ML to improve an existing flow in the Automotive industry. Customers are mostly flexible with their car preferences due to the nature of the marketplace. Image Credit: Karena E.I Image credit: Karena E.I

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Bridge The Implementation Gap: Make AI Useful in Healthcare

The Product Coalition

Photo by DeepMind on Unsplash Machine learning is now showing impressive results in analyzing clinical data, sometimes even outperforming human clinicians. This is especially true in image interpretation, like radiology, pathology, and dermatology, thanks to convolutional neural networks and large data sets.

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Continuous Strategizing

Roman Pichler

New technologies alone introduce change and uncertainty—think of the Internet of Things, Blockchain, machine learning, and generative AI, for example. Additionally, schedule regular collaborative strategy reviews —at least once per quarter—and invite the key stakeholders and development team members to them.