10 Ways to Impact Your Business with AI
for Manufacturing
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Which use case is the right one for your business to try and replicate?
Getting started with AI has its challenges. After all, no one wants to be responsible for failed projects and wasted money. We know that gaining knowledge through real-life examples is one of the best ways forward and understanding the strategies and success of others, can help figure out where to start and what to avoid.
Finding the right initial use case for leveraging AI and Machine Learning is crucial in the digital transformation journey. Not all use cases are equal - some are highly feasible but not very useful, while others have high impact but low feasibility.
In our eGuide, we have provided ten high-impact case studies from the Manufacturing sector, for inspiration, showcasing real examples of how AI drives progress and delivers significant business impact, including increased revenue, cost-cutting, and risk reduction
Download the guide today and get started with your AI journey!
Highlighted Case Studies
![Numbers_1-Bold](https://web.altair.com/hubfs/2023_EMEA/Frictionless%20AI/Numbers_1-Bold.png)
Avoid Full Operations Shutdown with Predictive Maintenance
Simple repairs and maintenance can have massive downstream implications. While ‘disaster scenarios’ may be rare, proactive avoidance with AI can keep them to a minimum or eliminate them entirely.
![Numbers_2-Bold](https://web.altair.com/hubfs/2023_EMEA/Frictionless%20AI/Numbers_2-Bold.png)
Improve Product, Marketing & Support Strategy with Unstructured Data
Unstructured data is hard to analyze, but it can be packed with rich insight. If you unlock the power of these insights, the benefits will permeate across the whole organization.
![Numbers_3-Bold](https://web.altair.com/hubfs/2023_EMEA/Frictionless%20AI/Numbers_3-Bold.png)
Master Variable Demand
Every supply chain requires precision forecasting. Inadequate quantities or improper mix means lost revenue. Forecasting with AI makes variability in demand much more manageable across the supply chain.
![Numbers_4-Bold](https://web.altair.com/hubfs/2023_EMEA/Frictionless%20AI/Numbers_4-Bold.png)
Predict Product Quality with Audio Mining
Leveraging AI to mimic human cognition allows you to scale labor-intensive efforts for common tasks.
![Numbers_5-Bold](https://web.altair.com/hubfs/2023_EMEA/Frictionless%20AI/Numbers_5-Bold.png)
Reduce Time-to-Market & Costs on New Products
Even iterative, creativity-driven business endeavors, like product design, can be optimized through intelligent application of AI.
![Numbers_6-Bold](https://web.altair.com/hubfs/Numbers_6-Bold.png)
Empower Citizen Data Scientists
Data science democratization isn’t just a tooling issue - it’s an organizational issue. Providing subject matter experts with the ability to explore machine learning on their own, has a transformational impact on how cross - functional teams solve emerging problems.
![Numbers_7-Bold](https://web.altair.com/hubfs/Numbers_7-Bold.png)
Gain a Competitive Edge with Yield & Quality Optimization
AI augmentation of institutional knowledge can improve both output AND quality. This kind of impact creates sustainable market dominance.
![Numbers_8-Bold](https://web.altair.com/hubfs/Numbers_8-Bold.png)
Reduce Re-work to Slash Costs
Not every business has ‘re-work’ as part of their operations, but re-work is just a specific kind of bad outcome. Predict bad outcomes before they happen, so you can stop them at the source.
![Numbers_9-Bold](https://web.altair.com/hubfs/Numbers_9-Bold.png)
Prevent Exceeded Emissions & Critical Situations
With the prevalence of IOT technology, many businesses have rich sensor data they’re not fully utilizing. The analysis of this data can have massive, wide-ranging implications and should always be explored for AI/ML projects.
![Numbers_10-Bold](https://web.altair.com/hubfs/Numbers_10-Bold.png)
Eliminate Waste with Better Quality Control
Not every business has a product as fragile as glass. However, every organization has processes that will occasionally produce bad outcomes or defects. Modeling can help uncover the root cause of bad outcomes so they can be remediated.