Data and Artificial Intelligence (AI): Improve Business Measurement and Performance

What is big data?

"Big data" is a term used to describe large and complex amounts of data, which has become impossible to process and analyze through traditional methods and tools. This is data collected from a variety of sources, including text, images, audio, video, geographic data and other data related to the operation of the business.

What is artificial intelligence (AI)?

Artificial intelligence (Artificial Intelligence - AI) is a field of research in computer science, its goal is to create intelligent systems that can automatically learn and perform tasks that only humans could do before. The target AI solves complex problems, makes accurate decisions, and provides predictions in real-world situations.

Trí tuệ nhân tạo AI là gì

The relationship between big data and artificial intelligence

Big data and artificial intelligence (AI) are two areas of technology that are close and closely connected to each other. Big data provides powerful and rich artificial intelligence for learning, training, and developing prediction, categorization, and optimization models. At the same time, artificial intelligence supports the processing of large, complex and unstructured data sets, helping to make accurate decisions and predictions.

Mối quan hệ giữa Data và trí tuệ nhân tạo AI

Furthermore, artificial intelligence has the ability to uncover latent patterns and trends in large data sets, providing important information to support business and political decisions.

Enterprise Big Data Challenges Faced with Number Transformation

Poor data quality
Immerse oneself in data
Growing volumes of data
Wrong input, wrong output
Data analysis is not entirely useful for reaching conclusions or making decisions
Amplify prejudice

Benefits of Artificial Intelligence combined with Big Data

When Artificial Intelligence (AI) is combined with Big Data, there are many important benefits:

More powerful data analysis: Combining AI with Big Data enables efficient analysis of large, complex and diverse datasets. AI has the ability to process data quickly and automatically, helping to extract important information and discover hard-to-see data patterns.
Predict and optimize: AI uses big data to build prediction and optimization models. This can be applied in many areas, such as marketing, finance, and manufacturing. Firms can use these predictions to make strategic decisions and improve performance.
Improve customer experience: When combining AI with Big Data, business can create a personalized experience for customers. Through monitoring and analyzing customer behavior, they can provide customized products, services, and messages, creating satisfaction and loyalty.
Risk and security management: AI can help detect security risks and risks from big data. By monitoring network activity and analyzing traces, AI can quickly detect suspicious behaviors and even prevent attacks.
Optimizing the production process and supply chain: AI combined with Big Data can improve supply chain management and production process. It helps to predict product demand, optimize production planning, and manage inventory more efficiently.
Product research and development: AI and Big Data provide information to help businesses understand market needs and customer needs. This can support research and development of new products or improvement of existing products.
Reduce costs and increase efficiency: Combining AI and Big Data helps businesses optimize processes and minimize waste. This can result in cost savings and increased overall performance

For example, Starbucks cleverly used Big Data, artificial intelligence (AI), and natural language processing to create personalized emails based on information from customers' previous purchases. Instead of sending a few dozen monthly emails with broad common benefits, Starbucks has implemented an AI-backed "digital flywheel," which generates more than 400,000 weekly personal emails with various promotions and incentives.

Starbucks đã khéo léo sử dụng Big data, trí tuệ nhân tạo (AI)

In short, Artificial Intelligence (AI) is a large, promising area and contains many aspects to explore. Meanwhile, Data Analysis is an industry that uses AI to generate predictions, focusing on transforming data to perform visual analysis and presentation. AI is still seen as an important tool to make better products and communicate them through creative process automation.

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