DeAngelisReview

The article explores the difference between AI and cognitive computing. AI automates processes, while cognitive computing helps humans make better decisions. There's a gap between these two functionalities, and Enterra Solutions' ADS fills this gap by offering autonomous decision-making that combines human-like reasoning with machine analysis.

The article discusses the importance of innovation in the Digital Age. While established companies struggle to innovate, new technologies like AI can help. AI can speed up discovery and help companies develop new products and services. But innovation requires more than just technology; corporate culture also plays a big role.

The article discusses the debate around AI and its impact on business. While some fear AI, others believe it can improve decision-making and generate profit. Machine learning, a type of AI, is already used in various applications, such as product recommendations. AI requires big data to function, and companies must leverage AI to make sense of the data they collect. However, alongside the benefits, there are concerns about the cultural impact of AI and the potential spread of misinformation.

Cognitive computing, a term aiming to support human decision-making, is evolving into cognitive analytics, leveraging AI to analyze massive data for better business outcomes. Cognitive analytics is seen as the future of data science.

This article explores the risks of artificial general intelligence (AGI) wiping out humanity. While some experts are very concerned, others believe it’s unlikely or a far-off threat. The article argues for vigilance in researching and developing AGI.

his article explores the impact of automation and AI on jobs. While some experts fear massive job losses, others believe new jobs will be created. The article emphasizes that humans and machines will likely complement each other in the future workplace. AI is expected to affect higher-skilled workers more than automation. The article concludes by arguing that workers should embrace new technologies and that humans should guide how technology impacts jobs.

This article explores large language models (LLMs) that can hold conversations. While impressive, these LLMs can also make up facts and be dangerously misleading. The article highlights potential benefits and risks and emphasizes the need for careful moderation.