In an era where apps are an integral part of our day-to-day life, infusing them with Artificial Intelligence (AI) capabilities is no longer a luxury, but a necessity. However, ensuring your app remains smart even when offline poses a challenge. Sending sensitive data over the internet is fraught with privacy and security concerns. More so, several use cases, from remote plant operations to vehicular systems, may not have continuous internet access. This is where the power of Embeddable AI shines. With AI libraries directly integrated into your application, you can deliver intelligent functionalities without the need for external internet-based services, thus ensuring user data privacy and seamless offline operation.

A Look at the Project Ahead

Upon diving into this guided project, learners will gain comprehensive knowledge about embedding AI into applications. More specifically they will:

Understand Embeddable AI: Understand the principles and importance of embedding AI into applications, especially in contexts where internet access might be intermittent or unavailable.
Learn to use Watson Embeddable AI Hands-On: Hands-on experience with Watson Embeddable AI libraries, focusing on capabilities such as sentiment analysis and emotion detection, to empower apps with intuitive functionalities.

What You'll Need

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Make your apps smarter with Embeddable AI

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