What Are Cognitive Systems and Their Role in Data Analysis?

TL;DR

Cognitive systems are essential for analyzing unstructured data, which makes up 85% of the data generated, including texts, images, and social media interactions. They extract valuable insights by understanding semantics and personality traits, enabling experts to make informed decisions despite challenges in accessing vast amounts of unstructured information.

Transcript

how serendipitous that rule and I will we had our talks together I want to build and continue on your thoughts in here you write data is exploding exponentially we spoke of Internet of Things and data that those sensors put out Martha mentioned internet of everything earlier that we started and that takes it even in space step forward medical recor... Read More

Key Insights

• 💗 Data is growing exponentially, and a significant portion of it is unstructured.
• ❓ Cognitive systems are essential for extracting knowledge and insights from unstructured data.
• ❓ Cognitive systems can analyze the semantic and psychological aspects of unstructured data, providing deeper understanding and meaningful insights.
• 😀 Experts face challenges in accessing and analyzing unstructured data, highlighting the need for cognitive tools.
• 👻 Cognitive systems can provide valuable insights that were previously unknown, allowing for better decision-making.
• 👮 Unstructured data analysis can benefit various industries, including law, finance, and medicine.
• 💁 Cognitive systems can analyze images, text, and other forms of unstructured data to provide meaningful analysis and insights.

Questions & Answers

Q: Why is unstructured data analysis important?

Unstructured data analysis is important because it allows us to extract insights and knowledge from data sources like social media, medical records, and other unorganized forms of data.

Q: What are the challenges faced by experts in accessing unstructured data?

Experts often struggle to access and analyze unstructured data due to its sheer volume and diversity. They need tools like cognitive systems to help them make sense of this data and extract valuable insights.

Q: How can cognitive systems analyze the tone and personality traits of an author?

Cognitive systems can analyze the tone and personality traits of an author by utilizing sentiment analysis and other natural language processing techniques. This allows for a deeper understanding of the data and can help identify patterns and insights.

Q: How can cognitive systems benefit different industries like law, finance, and medicine?

Cognitive systems can benefit different industries by providing valuable insights and analysis from unstructured data. For example, in medicine, cognitive systems can analyze medical records and images to aid in diagnosis and treatment decisions.

Summary & Key Takeaways

• Data is growing exponentially, including unstructured data such as social media posts and medical records.

• Extracting knowledge from unstructured data requires cognitive systems that can analyze semantics and personality traits.

• Experts face challenges in accessing and analyzing vast amounts of unstructured data, which can be crucial for making informed decisions.