Build Generative AI Products with Artificial Intelligence

"Is Generative AI Really the Future?" . Generative AI is a transformative branch of artificial intelligence that focuses on generating new data or content that mimics existing patterns, structures, or sequences. It's like the creative artist in the AI world, capable of crafting anything from new images to intricate narratives.

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Why are we still early in the AI evolution and what industries are being revolutionized by Generative AI? These are the questions we answer in this video. We also learn the main generative AI applications and the industries they affected. Another topics discussed in this lesson is the potential future goals of AI.

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In this video, we'll explore the profound impact of generative AI on emotional wellbeing and human connection. From AI-powered companions like Inflection AI's Pi to clinically proven platforms like Woebot and Wysa, we'll uncover how AI is revolutionizing the way we perceive and engage with mental health support. Moving forward, we'll delve into the realm of embodied AI, where intelligent agents interact with the physical world to perform a myriad of tasks. Through the lens of cutting-edge research and real-world examples, we'll unravel the intricacies of AI agents, from their planning structures to their capacity for strategic thinking.

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This video highlights the accelerated development of AI agents, particularly with the introduction of OpenAI's GPT-4 model. Microsoft's 365 Copilot exemplifies this advancement, aiming to revolutionize work in three key areas: creativity, productivity, and skill enhancement. Copilot's integration across Microsoft's suite of tools streamlines tasks such as creative writing, presentation creation, data analysis, email management, and meeting facilitation.

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In this video, I will try to explain what generative ai can currently do and what it cannot. In particular, I'll be talking about:

- Language and communications
- Data processing
- Learning and adaptability
- Creativity and innovation
- Task execution
- Emotion and empathy
- Decision making
- Generalization
- Ethics and values

I also talk about the areas to watch out for when working with generative AI.

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Segmenting your customer base is a critical step in tailoring your product to meet specific needs. In this video, I will give you some proven approaches to customer segmentation.

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Hi, in the previous video, we talked about the right way to segment your customers. Now, let’s see an interesting case history: How Synthesia Nailed Segment Selection. The subject of this video is Generative adversarial networks (GANs) and the untapped potential of digital humans.

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Here we’ll explore an example of the Jobs to Be Done (JTBD) framework in real user needs. The Jobs to Be Done (JTBD) framework is a powerful tool that product managers can employ to gain deep insights into the needs and motivations of users.

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Let’s start this brand new section with the following question: how to Design & Build Great Generative AI Products? First of all, I explain what the MVP is. A minimum viable product, or MVP, is a product that has enough features to attract early adopter customers and validate a business idea early in the product development cycle.

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