Integrating AI into Existing Traditional Software Products
Many companies will embark on the journey of integrating AI and ML into their existing traditional products because of the potential competitive advantage and strategic influence AI can provide across industries.
The third part of this book will focus on evolving existing software products that don’t currently use ML or DL to leverage AI. In the previous part, we discussed building an AI-native product and how the process unfolds in a way that’s optimal from a data, company, and strategy perspective. Using this same lens, we will now compare and contrast how this process unfolds for products that don’t currently leverage AI. By the end of this part, we’ll understand the impact AI is having on individual companies and the industries they’re a part of. We’ll also see how product design and product management are impacted with the introduction of AI features and capabilities for products that have already been launched prior as traditional software products. Similar to Part 2, we will contextualize these concepts through different case studies in this part.
This part comprises the following chapters:
- Chapter 12, The Rising Tide of AI
- Chapter 13, Trends and Insights across Industry
- Chapter 14, Evolving Products into AI Products
- Chapter 15, The Role of AI Product Design
- Chapter 16, Managing the Evolving AI Product
