The industry has started turning to AI to solve existing challenges as well as to explore new opportunities. Many organizations recognize the value and potential of AI, however few are using it—Gartner's recent survey of 3,000 companies indicated that, of the 50% that are beginning to plan for AI, only 4% have actually implemented it.
Many organizations are discouraged by what they see as the overwhelming challenges of implementing AI:
- Belief that to do AI, you need to be an expert in data science
- Concern that developing an AI system is time-consuming and expensive
- Lack of access to good quality, labeled data
- The cost and complexities of integrating AI into existing algorithms and systems
Engineers and domain specialists can successfully tackle these challenges. What they need is the right tools throughout the workflow.
In this 4-part webinar series you will see examples of industrial applications of AI and learn how to get started.
|Overview of AI Applications in Industrial Automation and Machinery||22 September / 13:30 CEST||90 min||View recording|
|Predictive Maintenance and anomaly detection with MATLAB and AI techniques||29 September / 13:30 CEST||90 min||View recording|
|Utilizing AI for Gaining Efficiency in Production Processes and Improving Product Quality with MATLAB||6 October / 13:30 CEST||90 min||View recording|
|AI-Based Automated Visual Inspection for Industrial Automation and Machinery||13 October / 13:30 CEST||90 min||View recording|