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In this article from Chief Executive Magazine, I share my thoughts with Dale Buss on the importance of adaptability in strategy-making. In today's unpredictable world, designing a set of preplanned strategies that can be quickly implemented as market conditions change is crucial. This approach allows companies to mitigate risks and exploit opportunities more effectively than competitors, even in unexpected challenges.

Kraft Heinz, formed by merging Kraft and Heinz, aims for global sales but must consider international taste variations. Cognitive Value Chain, a system with features like predictive analytics, can help with challenges like these.

Companies are responsible for ethical sourcing throughout their supply chain. Risks include reputational damage, regulatory issues, and infiltration by malicious actors. Data analysis and cognitive computing systems can help companies identify and mitigate these risks.

Companies are responsible for ethical sourcing throughout their supply chain. Risks include reputational damage, regulatory issues, and infiltration by malicious actors. Data analysis and cognitive computing systems can help companies identify and mitigate these risks.

Despite numerous supply chain disruptions, companies often lack effective risk management. Analytics can help assess risks, but cognitive computing offers a more predictive approach. These AI systems can model many scenarios to find resilient strategies and help businesses make informed decisions.

A study found that 83% of supply chain executives report negative impacts of globalization on business performance, mainly due to complexity and risk. The key to mitigating risk is better visibility throughout the supply chain. Implementing a global supply chain risk management program can help companies achieve this. The article also details 10 tips for getting started with such a program.

The article explores the challenges of filling job openings as economies reopen. There's a high demand for AI expertise, including data scientists and machine learning engineers, to address labor shortages. While these jobs are in high demand, there's a lack of skilled workers. Cognitive technologies can help bridge this gap by automating some tasks and making data analysis more accessible to non-experts.

The article discusses the difference between connected and smart cities. True smart cities integrate data from various sources (traffic, utilities, etc.) to optimize services and resources. Data silos, where information is kept separate, prevent this integration and hinder the development of smart cities.