Low Down on Low-Code

In this episode, John Rymer and Rick Greenwald explore the complexities of data copying versus accessing data in place, focusing on performance, freshness, correctness, and consistency. They discuss how these factors impact data management strategies, especially in the context of AI and modern data access challenges.
Key Topics
Data copying vs in-place access
Performance implications of data access
Data freshness and latency
Data correctness and consistency
Distributed data challenges
Data governance and compliance

In this episode, Francis Carden and Rob explore the evolving role of models in software development, AI, and business processes. They discuss how structured models can revolutionize code, automation, and business agility, emphasizing the importance of explicit, understandable, and reusable frameworks.
Key topics
The role of models in software and AI development
How structured models improve maintainability and changeability
The impact of AI on code generation and business logic
The importance of explicit, understandable models for business agility
The potential of models to reduce repetitive work and increase reuse
Challenges and risks of unstructured AI-generated code
The future of model-driven platforms and AI vendors
keywords

#Models, #AI, #Software Development, #Business Processes, #Low-Code, #No-Code, #Automation, #Structure, #Reusability, #AI-Generated Code

In this episode, Francis Carden challenges traditional views on software development, reimagining computing, and the future of AI in application creation. Join us for a provocative conversation on how legacy systems are evolving and what that means for businesses today.
Keywords
Reimagining computing and application development
The impact of AI on coding and software creation
Legacy systems and their evolution in modern business
The role of low code/no code platforms in digital transformation
The importance of reusable components and modular architecture

In this episode, John Rymer and Rick Greenwald explore the complexities of data management, the myth of data duplication, and how to effectively govern and utilize data in modern organizations. Rick shares insights on managing multiple data versions, the importance of metadata, and practical strategies for better data use.
Keywords
Data as versions, not copies
The cost of data storage and duplication
The importance of context in data governance
Metadata and catalogs for managing data complexity
Strategies for managing multiple data versions
The misconception of a single source of truth
Impact of data governance on decision-making
The role of AI and semantic search in data management

In this episode, we explore the future of AI in application development, platform engineering, and business transformation with expert John Bratincevic from Zoho. Discover how AI is reshaping software platforms, the role of trust and components, and the democratization of software creation.
Keywords
Impact of AI on platform engineering and application development
Role of components and trust in AI-generated software
The concept of unified apps and app OS
Democratization of software creation through vibe coding
The shift from shallow to deep software and hardware integration
Business models and the future of AI agents in enterprise