Self-Healing Supply Chains: Embracing AI for Proactive Risk Sensing
If there was a definitive set of solutions to guarantee supply chain resilience, every organization globally would have achieved it by now. AI and advanced technologies are not a panacea, but they are critical enablers that support the journey toward self-healing supply chains essential for navigating today’s inherent complexities and vulnerabilities.
The current global landscape — marked by volatility and extensive threats — underscores the necessity for these technologies to facilitate swift, informed decision-making and proactive risk management. Major organizations have already initiated their journeys toward embedding AI capabilities, and organizations that haven’t need to start soon.
In this webinar, Microsoft and EPAM will discuss strategic, small-scale actions you can take to help you realize your vision of a self-healing supply chain with proactive risk sensing. Join us for a detailed exploration into practical AI applications that detect potential disruptions, accelerate decision-making processes and enable adaptability in ever-changing environments. You’ll also discover actionable insights and early successes in technology implementation that will fortify your organization's supply chain resilience.
Key Takeaways:
- What is a self-healing supply chain, and what is proactive risk sensing? Why are they a competitive advantage for companies?
- What solutions need to be integrated to achieve the vision of self-healing supply chain?
- What are some of the practical AI use cases that help achieve proactive risk sensing?
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