Cognitive analytics is bigger than big data analytics

Cognitive analytics is bigger than big data analytics

SUMIT PANDEY

Cognitive analytics

Cognitive analytics is an emerging technology that is used to analyze data to identify and understand patterns of thought. Cognitive analytics can be used to understand human behavior and to identify potential threats.

Cognitive analytics can also be used to identify opportunities for improvement. Cognitive analytics is different from big data analytics because cognitive analytics focuses on understanding the thought process, while big data analytics focuses on understanding the data.

How does Cognitive Analytics work?

Understanding natural language and human interactions:

Cognitive analytics technology can be used to understand natural language and human interactions. This is done by analyzing text, conversations, and social media posts.

Generating and evaluating the Evidence-based hypothesis:

The cognitive analytics process typically begins with the collection of data. The data is then analyzed to identify patterns of thought. These patterns are then evaluated to determine if they are evidence-based hypotheses. An evidence-based hypothesis is a hypothesis that is supported by evidence. If the hypothesis is supported by evidence, it is then evaluated to determine its potential value.

Adapting and learning from user selections and responses:

Cognitive analytics systems use artificial intelligence (AI) to analyze data and learn how users interact with the system. The system then adapts its behavior based on the user's interactions. For example, if a user is consistently selecting a certain type of information, the system will learn to provide more of that type of information.

Applications of Cognitive analytics

Identifying Patterns of Thought

Cognitive analytics can be used to identify patterns of thought. This can be used to understand human behavior and to identify potential threats. Cognitive analytics can also be used to identify opportunities for improvement.

Understanding Human Behavior

Cognitive analytics can be used to understand human behavior. This can be used to identify potential threats. Cognitive analytics can also be used to identify opportunities for improvement.

Identifying Potential Threats

Cognitive analytics can be used to identify potential threats. This can be used to protect against cyber threats, financial fraud, and terrorist threats. Cognitive analytics can also be used to identify opportunities for improvement.

Identifying Opportunities for Improvement

Cognitive analytics can be used to identify opportunities for improvement. This can be used to improve business processes, customer service, and product development. Cognitive analytics can also be used to identify potential threats.

Big data

Big data refers to any large and complex collection of data. The term is often used to describe the large volumes of data that organizations are now able to collect and store thanks to advances in information technology.

But big data is more than just a large volume of data. It’s also the velocity at which data is being generated, and the variety of data sources that are now available.

Types of big data

Structured data:

This is data that is organized in a specific way, usually in a database. For example, the customer data in a company’s database is structured data.

Unstructured data:

This is data that is not organized in a specific way. For example, the text of a blog post is unstructured data.

Semi-structured data:

This is data that is partially organized. For example, the data in a spreadsheet is semi-structured.

Applications of Big Data Analytics

There are many uses for big data analytics. Some of the most common uses are for marketing, risk management, and fraud detection.

Marketing

Big data analytics can be used to improve marketing efforts by identifying which marketing strategies are most effective. Big data analytics can also be used to identify which customers are most likely to respond to a particular marketing campaign.

Risk Management

Big data analytics can be used to identify potential risks and to develop plans to mitigate those risks. Big data analytics can also be used to identify patterns of behavior that may lead to risk.

Fraud Detection

Big data analytics can be used to detect patterns of behavior that may indicate fraud. Big data analytics can also be used to identify potential victims of fraud.

Conclusion

Data is the future and cognitive analytics will play a big role in it. Big data analytics is the process of analyzing large data sets to uncover hidden patterns and trends. Cognitive analytics is a subset of big data analytics that uses cognitive computing techniques to analyze data sets and extract insights that are not easily identified by traditional analytics tools.

Cognitive analytics can go beyond big data analytics by using cognitive computing techniques to analyze unstructured data sources, such as text, audio, and video files. Cognitive analytics can also be used to identify patterns and trends that are not easily identified by traditional analytics tools.