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Data is king in business today. Companies use automation to process data and make decisions. Intelligent automation (IA) is a new kind of automation that uses AI and machine learning to handle complex tasks. IA can improve efficiency, reduce costs, and provide better customer service. While RPA automates repetitive tasks, IA uses AI to make decisions and solve problems. In the future, IA will become even more sophisticated with the use of Autonomous Decision Science. Businesses that adopt IA will be better positioned to compete in today's marketplace.

This article discusses a new problem with large language models (LLMs) like Bard: AI hallucination, where the LLM generates incorrect but seemingly believable information. Experts say this is dangerous because it can spread misinformation. People can limit AI hallucination by carefully phrasing their prompts, giving the AI relevant data, and instructing it on its role. However, some argue users shouldn't have to fact-check AI outputs, and developers need to find better solutions. Large tech companies say AI needs regulation, but regulation struggles to keep pace with technology.

This article explores the risks of Artificial General Intelligence (AGI), a superintelligence that could potentially destroy humanity. Experts warn of AGI causing accidental harm or intentionally wiping out humans. While some believe AGI is unlikely, others advocate for regulation to control its development. The article concludes that caution is needed, but AI has potential benefits.

Disruptions like political tensions and climate change threaten consumer goods supply chains. SOI, powered by AI, optimizes these for changing demands. Strategic adoption with good data is key. CPG companies embracing SOI win. The original Forbes Technology Council article can be found here: https://bit.ly/3V8zKGr

The article explores the importance of supply chain visibility for businesses. It argues that many companies lack a holistic view of their supply chains, which hinders their ability to make informed decisions. I propose a five-step plan to improve supply chain visibility, including using standard identifiers, leveraging existing data, and building a digital twin of the supply chain.

Port congestion is blamed on finger-pointing and limited space for containers. In this article, we explore collapsible containers as a solution to create more space at ports. These containers fold up to reduce storage footprint, but their higher upfront cost is a hurdle to widespread adoption.

The article discusses significant trends in supply chain management for 2022. Key takeaways include increased focus on digital transformation, supply chain visibility, and resilience. Technology like AI and automation is expected to play a significant role. More investment will likely be in 3PL and 4PL services, micro-warehouses, and more extensive storage facilities. Sustainability and talent shortages are also pressing issues. Supply chains are expected to become more adaptable and responsive to disruptions.

E-commerce growth strains last-mile delivery, raising costs and creating traffic congestion. This article explores innovative solutions like autonomous cargo systems and AI for warehouses. It also discusses efforts for sustainable deliveries with electric vehicles and route optimization.