Industry 4.0 is now underway, changing the traditional manufacturing processes into smart manufacturing and creating new opportunities where machines can understand the involved processes, interact with the environment, and adapt to their behavior. The advancement in technology through deep learning has brought the opportunity to accelerate discovery processes and improving decision making.

1. How Deep Learning
is Revolutionizing Manufacturing?

2. Machine learning in general and deep learning in
particular can significantly improve the quality
control tasks in a large assembly line.
In fact, analytics and ML-driven process and quality
optimization are predicted to grow by 35% and
process visualization and automation are slated to
grow by 34%
TYRONESYSTEMS.COM
Improving quality control

3. Deep learning models have already proven to be
highly effective in the domain of economics and
financial modeling, dealing with time-series data.
Similarly, in predictive maintenance, the data is
collected over time to monitor the health of an
asset with the goal of finding patterns to predict
failures.
TYRONESYSTEMS.COM
Predictive Maintenance

4. ML plays a vital role in improving an
organization’s value by maximizing its logistical
solutions such as asset management, inventory
management system, and supply chain
management.
TYRONESYSTEMS.COM
Perfecting supply chain

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Talk to Tyrone about how we can support
your journey with products and solutions
engineered to accelerate transformation
and business growth.
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