This presentation will discuss whether software architecture can be used as a tool to support innovation and make innovation mainstream within the enterprise, using three real-life case studies as follows:
Case Study 1: Working with Artificial Intelligence (AI) and Machine Learning (ML)
• A brief introduction to AI and ML
• Why does architecture matter for AI and ML? It's (almost) all about the data. Data is the lifeblood of ML.
• Going forward: How will AI and ML impact architecture?
• Lessons learned
Case Study 2: Working with Virtual Assistants and Cognitive Agents
• A brief introduction to virtual assistants and cognitive agents
• Some examples of virtual assistant architectures
• Some examples of cognitive agent architectures
• Going forward: Single domain vs. multi-domain virtual assistants
• Lessons learned
Case Study 3: Working with Blockchain
• A very brief introduction to blockchain
• A solution in search of a problem?
• How does architecture matter for blockchain implementations?
• Going forward: Marrying blockchain and AI/ML
• Lessons learned
See the slides.Watch the video.
