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.

Artificial intelligence (AI) is making a big impact on marketing. It analyzes data to understand customers, allowing for targeted marketing, personalization, and better ad placement. This results in increased sales and customer satisfaction. Though complex, marketers don't need to be AI experts to leverage its benefits in marketing tools.

The number of internet-connected devices (IoT) is exploding, creating a vast network of smart devices. Artificial intelligence (AI) is playing an increasingly important role in analyzing the data from these devices, leading to the rise of AIoT. This combination is having a big impact in areas like wearables, smart cities, and smart homes. Processing data at the edge of the network, closer to where it's generated, is becoming increasingly important due to the vast amount of data collected by these devices. This approach reduces latency and improves performance. AI is being used at the edge to filter data and identify important signals. As the number of connected devices continues to grow, so will the importance of AI and edge computing.

The EU is proposing new regulations for AI, especially high-risk uses like facial recognition. This has caused mixed reactions. Some fear it will stifle innovation, while others believe it will build trust in AI. The regulations would limit police use of facial recognition and create a list of high-risk uses of AI. The proposal faces a long road to approval.