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The DeAngelis Review

Exploring Reason, Technology, and Humanity

Marketing and Artificial Intelligence

This article explores how artificial intelligence (AI) is transforming marketing. AI can analyze vast amounts of data to give marketers insights into customer preferences and behavior. This allows marketers to target customers more effectively, personalize experiences, and improve campaign performance. AI is still evolving, but it has the potential to revolutionize marketing.

China Takes the Lead in Multimodal Artificial Intelligence

This article discusses a new kind of artificial intelligence (AI) called multimodal AI. Unlike traditional AI, which focuses on one type of data (e.g., text, images), multimodal AI can process many data types together, as humans do. This allows for a more comprehensive understanding of the world. The article also mentions a race between the US and China in developing AI. China recently released a powerful multimodal AI model called WuDao 2.0, which may be more sophisticated than other systems.

Cognitive Technologies Can Help Fill Job Vacancies

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.

In AI, Common Sense Is Not All that Common

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.

AI and IoT on the Cutting Edge

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.

AI EU Oh!

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.