An inventory of the main uses of artificial intelligence and the Internet of Things

The new crown has promoted the development of new technologies at an unprecedented speed. Artificial intelligence and machine learning are classified as new families of emerging technologies, along with automation, drones, blockchain and the Internet of Things. However, their adoption is still lagging in terms of business use cases. The gap between the prospects and profits of emerging technologies has turned the focus of emerging technologies to mining use cases for artificial intelligence and the Internet of Things.

These two technologies have topped the list for the third consecutive year, as a large number of use cases demonstrate the power of artificial intelligence and IoT solutions to help enterprises improve efficiency, save time and increase revenue. The Top 10 Emerging Technologies of 2021 list takes a closer look at artificial intelligence and the Internet of Things, showing how they are transforming business.

Five major realizations of artificial intelligence

1. Sales/potential customer score prediction

Prediction Sex Selling prioritizes leads by filtering out unqualified leads, allowing sales reps to spend more time on leads who are more likely to convert. Today, many sales and marketing platforms include scoring modules that predict outcomes and create campaigns designed to generate higher quality leads.

How does artificial intelligence help predict sales, lead scoring?

Artificial intelligence enables more effective sales prospect prioritization through lead scoring and provides detailed real-time analysis. As more data becomes available, forecasting algorithms improve and buying patterns emerge, improving forecast quality and simplifying sales efforts.

2. Customer relationship management and service delivery optimization

The customer relationship management and service delivery optimization system tracks and analyzes customer purchasing and usage patterns to improve sales efficiency and profitability. ability. Sales reps use this data to better understand their customers and identify cross-sell and up-sell opportunities.

How These Systems Leverage Artificial Intelligence

Customer transactions are becoming larger and more complex, which means there are more More data is available, which also means transactions are more complex. Artificial intelligence can effectively process this data to detect patterns and provide accurate customer insights, allowing businesses to make better decisions throughout the sales cycle.

3. Digital Assistants/Chatbots

Chatbots and digital assistants are applications that use text or text-to-speech to conduct online conversations. This enables businesses to scale by leveraging existing resources while still delivering a human customer experience.

How Chatbots Leverage Artificial Intelligence

These applications learn from previous customer inquiries, identify patterns, and predict future customer behavior. Bots can also be used to interpret human speech patterns and provide answers in an intuitive interface using natural language processing.

4. Detection of network security threats

When enterprises use a network security platform powered by artificial intelligence, they can improve their security against network attacks. An AI-powered cybersecurity threat detection platform that uses machine learning to analyze historical data, predict and detect potential cyber threats.

How Artificial Intelligence Improves Cybersecurity Threat Detection Platforms

Artificial Intelligence allows analysis of large amounts of data, detecting known threats in real time while maximizing Reduce damage and data loss.

5. Automated Marketing

AI-driven tools combine data from multiple sources to automatically compile predictive analytics about customers to gain insights into their preferences, Thereby creating marketing campaigns that target them as qualified leads.

Artificial intelligence software collects data to understand customers’ buying cycles and motivations, allowing companies to communicate effectively and deliver sales information at the best time without human intervention.

Five major IoT application cases

1. Asset monitoring

Asset tracking is implemented throughout the facility, such as buildings and warehouses Track assets and their usage in real time across your home, yard or campus, automating labor-intensive and error-prone equipment and inventory management.

How IoT is Used for Asset Tracking

IoT sensors are built into or connected to devices to collect real-time location and usage data. This information is then forwarded to centralized management software for processing and analysis.

2. Industrial Monitoring

By monitoring asset condition, predicting maintenance and ensuring quality, industrial monitoring improves manufacturing, mining, oil and gas, utilities and Performance, productivity and efficiency of industrial processes in other industries.

What role does the Internet of Things play in industrial monitoring

Smart sensors and actuators are used in industrial monitoring to evaluate machine status and put the information Transfer to centralized management software.

3. Intelligent Identification

By issuing sensor-based identification numbers to employees and guests, enterprises can take simple and sophisticated methods to identify, locate and provide services to their facilities. Provide secure access to employees.

How Intelligent Identification Leverages the Internet of Things

Intelligent Identification is an ID card-sized portable tracker that uses embedded IoT sensors for tracking , area notifications, and employee safety monitoring provide accurate and continuous geolocation.

4. Fleet Management

Fleet management enables fleet managers to automate processes by providing real-time visibility into vehicle maintenance, usage and driver performance.

What role does IoT play in fleet management

Fleet management utilizes telematics sensors attached to vehicles that send data back Management software that enables businesses to better allocate resources, plan and adapt to changing conditions.

5. Smart Buildings

Smart buildings enable enterprises to monitor and control various building features to optimize the building's environment and operations, such as automating and controlling security or air conditioning .

How IoT applies to smart buildings

Businesses can use connected sensors and software to monitor, manage and analyze multiple building systems, Gain insights into patterns and trends to optimize building or campus operations.

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