1 / 6

Integrating generative AI into existing apps

Choosing the best mobile app development company is key to successfully integrating generative AI into your existing applications. We guide you through the integration process, highlight the advantages, and provide tips on selecting the right development partner. Transform your app and deliver a superior user experience. Learn more.<br>https://www.simublade.com/services/mobile-app-development

Daisy60
Download Presentation

Integrating generative AI into existing apps

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. INTEGRATING GENERATIVE AI INTO EXISTING APPS? • www.simublade.com

  2. Creative content • Hyper-personalization • Task automation • Benefits of Integrating Generative AI in a System or Software? The primary work of GenAI is generating software codes, texts, and visual designs. This is done by interpreting prompts in the form of images, videos, speech, music, texts, and codes. • Personalization using GenAI can cause a paradigm shift in customer services. Over 70% of digital retailers in the US believe that AI-driven personalization might impact business in 2024. • GenAI can respond to user queries using the internet. However, when paired with Robotic Process Automation, it can offer powerful automation solutions as well.

  3. Risk mitigation • Adaptive learning • Data synthesis Generative AI helps connect the dots between actionable data and cyber breaches. It can help with cybersecurity by identifying faulty codes and then monitoring and analyzing threats in real-time. • GenAI is able to learn and adapt based on feedback, which helps the model align well with the user objectives and preference. For instance, Edtech platforms can deploy generative AI to enable adaptive learning and get an idea of a student’s learning curve. • GenAI can analyze market trends, economic indicators, and consumer behavior and attitude. This helps ‘synthesize’ large sets of data, predict insights and deliver information.

  4. Identify your needs • Gather data requirements • Appropriate AI model • A study found that GenAI typically delivers results in marketing and sales, client operations, research and development, and building software. Consider performing a careful analysis of where you require it. • Once the developers have a clear idea of your needs, they look for the relevant and sophisticated training data which is the lifeblood of AI. This is based on model complexity, error handling, set of features, and the problem that the AI is trying to solve. • Developers will pick the right AI model according to business or project goals. This typically includes natural language processing, voice recognition, or machine learning. Integration process of Generative AI?

  5. The right tools, tech stack, and frameworks • Developers will pick artificial intelligence frameworks like PyTorch and TensorFlow. Pre-built AI tools might also be used like AWS SageMaker and Kuberflow for smooth integration. Using AI in software development and integration processes helps you win in the competitive space. • Create development environment • The developers will update the local development environment that contains cloud compute, terminal and shell tool, notebook environments, and prompt eng. tooling.

  6. (281) 214-2808 Contact Us • hello@simublade.com • www.simublade.com

More Related