Join us on The Before AGI Podcast as we explore the booming world of No-Code and Low-Code AI platforms. These tools promise to make AI development accessible to everyone, bridging the skills gap and accelerating innovation. But what are the trade-offs? We dive into the benefits, the key platforms, and the crucial limitations you need to know.
In this episode, you'll gain insights into:
🔧 No-Code vs. Low-Code: Defining the difference and the goal of democratizing AI.
💡 Why They're Popular: Addressing the AI skills gap and the need for speed.
🌐 Platform Examples: Overview of tools like Google AutoML, Azure AI, DataRobot, Obviously AI, Appsmith, Power Platform, and more.
🚧 Critical Limitations: Unpacking the challenges around customization, scalability, integration, security, vendor lock-in, and cost.
🤔 Choosing Wisely: Understanding how platform constraints vary and why matching the tool to your specific needs is essential.
This deep dive provides a balanced perspective on the power and pitfalls of these increasingly popular AI development approaches, helping you navigate the landscape effectively.
Follow Before AGI Podcast for more essential explorations of AI tools and trends!
TOOLS MENTIONED:
Graphite Note
Obviously AI
DataRobot AI Cloud / Driverless AI
PredictNow.ai
Google Cloud AutoML / Vertex AI Tabular
Microsoft Azure AI / Power Platform (incl. AI Builder)
Amazon SageMaker Canvas
Akio
Levity AI
H2O.ai
N8n
Google Teachable Machine
Appsmith
OutSystems
Mendix
Salesforce Einstein AI
CONTACT INFORMATION:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
Share this post