Technology peripherals
AI
An inventory of the main uses of artificial intelligence and the Internet of Things
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.
The above is the detailed content of An inventory of the main uses of artificial intelligence and the Internet of Things. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1385
52
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
