2024 Release 1 - Intelligence
Impact AI - AI-powered Data Lineage (Private Beta)
Get the full picture of your data lineage with AI-driven insights.
What
Impact AI empowers users with comprehensive data lineage capabilities and AI-powered insights, enabling them to make informed decisions and maximize data's business value in Keboola.
Who
- Data Analysts: Discover data, understand lineage, and improve data quality.
- Data Engineers: Identify performance bottlenecks, optimize costs, and enhance data security.
- Data Scientists: Gain insights from data, build predictive models, and automate data analysis tasks.
- Business users: Employ Impact AI to make data-driven decisions, access relevant information, and collaborate effectively.
Example Use Cases
- Detect and prevent impacts on production:
- Detect changes that could impact production
- Detect disabling configurations that could affect downstream processes
- Pinpoint responsible parties for outages and ensure accountability
- Cost optimization and efficiency:
- Identify opportunities for cost optimization
- Flag duplicate tables
- Track data lineage and calculate daily costs for running tables
- Calculate increased costs for hourly computation
- Identify the actual frequency of data updates
- Determine bottlenecks to improve efficiency
Clarify AI for Errors & Configuration (General Availability)
Get AI-powered help with documentation and debugging
What
Clarify AI in Keboola helps you to resolve complex errors effortlessly. With just a click of a button, our advanced AI system will analyze any complicated error messages you encounter and provide clear, human-readable explanations. No more confusion or frustration with complicated errors.
Who
- AI Developers and Data Engineers: Seamless troubleshooting and uninterrupted development.
- Data Analysts: Focus on analysis, not documentation.
- Technical Writers: Generate accurate technical content effortlessly.
- Product Managers: Accelerate project timelines and deliverables with improved productivity and communication.
Example Use Cases
- Simplicity and convenience: Clarify AI is simple to use, taking just a single click.
- Clarity and understandability: AI will translate complex error messages into language that users can easily comprehend, eliminating technical jargon and confusion.
- Empowerment: AdaptAI empowers users to troubleshoot issues on their own, enabling them to act and resolve problems faster.
- Efficiency: AI-driven explanations save users time by providing instant insights, avoiding the need for lengthy research or seeking external help.
- Problem-solving: Clarify AI promotes a smooth problem-solving experience, making users feel more confident and in control of their interactions with the platform.
Self-service Data Apps (Public Beta)
Easily visualize, collect & modify data
What
From data to app in minutes! Data Apps come with visualization front-end that is real-time, modifiable and interactive, and enables you data writeback. Only analyst-level coding skill needed or choose from pre-built gallery of apps.
Who
- Business users: Deliver results faster with apps that enable immediate insights and rapid collaboration
- Data and BI Analysts: Build apps without development expertise in minutes, easily visualize data and explore data insights.
- Data Engineers: One-click deployment, no maintenance and full governance.
Example Use Cases
- Predictive analytics and forecasting: Implement AI models to predict future trends based on historical data.
- Data monitoring and alerts: Developing applications that monitor data metrics in real-time and trigger alerts or notifications based on specific thresholds or anomalies detected in the data.
- Unlimited use cases: Great flexibility in connecting your data and their usage in new context. Uncover value.
- Data visualization and exploration: Streamlit apps are widely used to create interactive dashboards that enable users to explore their data through dynamic charts, graphs, and filters.
- Machine Learning model development: Developers can use Streamlit to prototype and demonstrate training models, visualize model performance, and tweak parameters in real-time.
- Governed data entry: Error-free user input collection.
Learn more about Self-service Data Apps in documentation.