Future of Business Intelligence with AI Technology

By Sam Liao

Chief Technology Officer

Winmate Inc.

March 09, 2020

Story

Some futuristic technologies like voice and facial recognition, task automation, and autonomous driving assistant are now the reality. It is a good time for businesses to gain the benefits of AI.

Businesses have been deploying algorithms to analyze the data that has been generated for years since the introduction of IoT and data gathering tools. Some futuristic technologies like voice and facial recognition, task automation, and autonomous driving assistant are now the reality. It is a good time for businesses to gain the benefits of artificial intelligence.

Use the Power of AI to Boost Efficiency

In today’s world, Artificial intelligence (AI) is not a mysterious term, but rather a real business solution. This is the trend that is now driving many solutions across industries. From retail to industrial sector, AI powered technologies open new possibilities and business models. Moreover, AI powered algorithms become more sophisticated and smart overtime. AI technologies are now available for companies to deploy and stand out of the competitors.

AI Technologies in Business Intelligence

Some AI applications of in business include people counting, human traffic flow, crowd density, and audience profiling.

People Counting

Smart retail can benefit from this new technology. General counting distinguishes between groups and individuals for more accurate conversion rates. For example, it can recognize male and female visitors for targeted promotions and advertisement.

Human Traffic Flow

Track path analysis, for example, helps marketers and store planners to better organize the space inside a shopping mall. Automated queue detection and measurement of length, queue times, and sending this information via push messages directly to visitors, can significantly improve customer experience.

Crowd Density

For security management measuring crowd density during community events such as sport events, concerts, festivals, and conferences is important. Conducting real-time tracking of people counts and distributions in crowded places is a necessity. The technology uses neural network architecture to predict the density of people on a per-pixel basis. It can be used in many potential applications like counting and density estimation of cells or bacteria in biological research, for example.

Audience Profiling

Audience profiling can help users to understand their audience by providing essential information such as age, gender, and even mood to conclude and predict a current mood state. This application is especially interesting for brands, marketing agencies, and digital advertising agencies. Using big data and AI algorithms, marketers can already promote a product to specific audiences.

All of these technologies combined together can help modern businesses to improve their operations and boost sales revenues. Adding AI-powered technologies to your business operations and already existing Internet of Things (IoT) eco-systems where everything is connected is the way to use modern technologies to increase profitability and maximize customer satisfaction. Winmate, a rugged computing and embedded solutions provider for industries operating in some of the most challenging environments, offers AI, IIoT and edge computing solutions to enable your intelligent applications and help your business grow.