Tuesday, 15 December 2020
3 Major Chatbot Benefits Small Business Need To Consider
2. Chatbots Help To Make Search Engine OptimizedAnother benefit of small business chatbots is that many of them are also SEO friendly. This means that a small business owner will be able to attract more visitors to his website simply by having a bot create content for him. SEO is an important element of online marketing, and online chats can help businesses make sure that their conversations are optimized. In fact, many small businesses owners believe that online chats are so effective that they do not need to hire SEO professionals any longer. They simply have to let their chatbot do all the work for them!
3. Chatbots Help Businesses To Collect FeedbackThe biggest benefit of the future of business chatbots is that they will allow consumers to voice their opinions. Right now, consumers are split about how they feel about businesses selling their products online. Some people are uncomfortable with bots because they feel that they will be too much of a hassle. However, small businesses should prepare themselves for the new technology by creating easy to use chatbot solutions. These solutions will make using chatbots an effective tool for businesses.
Small Business Chatbot Benefits ConclusionIf you own a small business, you should look into the benefits that come from using online chatbots to expand your business and increase your customer base. We see this as a major benefit in the way that small businesses will compete against large companies. These new solutions are easier to use than ever before. Also, they cost not much. This is the reason why every business should be preparing for the future of online chatbots.
Thursday, 10 December 2020
Easy Travel With Using Multi Types AI Travel Tools
AI travel planning systems combine the power of the internet, Google translate, and natural language processing technologies to offer personalized travel service for travelers. AI travel agent apps can be downloaded to a personal computer or smartphone and synched with a travel agency's reservation database. AI travel planning applications use a unique combination of technology, knowledge, data and people from a travel agency's in-house, freelance, or outsourced employee pool. The result is a comprehensive understanding of travel demand for a given date and time in order to make travel options available to a wider range of travelers.
1. AI Travel Apps Help To Arrange Travel and Vacation
AI travel app solutions are also based on a proprietary artificial intelligence technology called artificial neural networks (ANNs). These networks are designed to function like a self-teaching AI supercomputer. They are able to learn and recognize patterns from real-time travel data and make their own recommended travel decisions. AI travel app programs make their own commercial airline reservations and deliver live updates on flight availability and seat availability real time. Travelers will never be left completely in the dark about when, where, and how they'll be able to travel.
AI travel app software can also be used to make your vacation and travel plans better. Several of these programs have hundreds of millions of customers worldwide. That means they have data from literally millions of travelers. By using their proprietary data to make their own algorithms, these apps can identify trends and anomalies in the market so that you don't have to. AI travel app developers are constantly making their programs better and more effective at matching travelers with the right destination and airlines.
2. AI Travel Apps Help To Improve Travel Experience
Another advantage to using AI travel app solutions is that they eliminate human biases. Travelers often have preconceived ideas about certain cities or certain airports that they might not be familiar with. AI travel software takes the guesswork out of those unknown factors so that every trip is a smooth, worry-free travel experience. With the availability of detailed information like airport traffic, bus arrival and departure times, and fare information, even the most fickle travelers can be guaranteed of getting to their destinations on time. On top of this, these AI programs use an array of real-time data to make their recommendations. For instance, if a traveler gets an email with all the latest airport deals for the week, they can instantly apply for those through the program without missing any of the deals that will actually benefit them.
Conclusion For Using AI Travel Tools
AI travel planning is a must for today's travelers. Not only do these AI programs help alleviate many of the hassles of last-minute travel planning, but they also provide great deals to travelers every day. If you're tired of consistently getting into the same old flights and hotels, take a look at your options for AI travel planning and make your trip an experience you will never forget. AI travel app developers are going to keep on improving these programs as technology advances.
Wednesday, 9 December 2020
The AI Ethics Research Should Start Now and Regulated by Humans
The need for an AI ethics researcher sounds noble to me, yet it might be a bit impractical. First, as a society we need to decide what an AI is. How can we know that it is not a super computer or self-aware computer, with intelligence similar to a human brain? What about artificial intelligent robotic androids or artificially intelligent robotic androids doing work in factories with humans? Is there something that the public does not know about this, which could potentially cause a problem down the road? These are all important questions and it is wise to address these concerns now rather than later, before these issues get out of hand and potential danger comes to pass.
1. AI Ethics Concerns
But one thing is clear; if and when artificial intelligence is developed into a computer system capable of overriding the human's ethical code, it will become a problem, and perhaps the greatest problem humanity has ever faced. Will we be able to trust this new supercomputing system with our future? I think not, and I do not think the smartest people in the world realize this. Perhaps they are working on it, but I do not think they are too smart. I think that the smarter minds are staying focused on solving problems with physical computers.
An artificial intelligence researcher will be involved in trying to design computer software that can act in an ethical manner, without violating the rights of individuals. So, if someone wants to create a self-aware computer or robot, that person will be required as an AI ethics researcher to ensure that the design does not violate any individual's rights. The moral issue will come into play because if the computer can decide to do what is right or wrong, then it becomes a legal issue. Will this new artificial intelligence to be able to decide that it is moral to destroy humans? How will the AI decide if it is moral to kill someone without hesitation or remorse? Will it be able to decide if it is moral to shoot a person to death because the person is a terrorist or a spy?
2. What AI Ethics Researchers Should Do
AI Ethics Research Conclusion
All these questions are going to be answered, and some day in the near future, we will have software that is as smart as a child. This artificial intelligence will be made by humans, and it will be our decision, not the computers, that will determine if it is ethical or not. Will we allow a machine to decide if it is moral to kill a child in its womb? How will we define what is right and what is wrong, when it comes to Artificial Intelligent supercomputers? This is something that only humans can decide and hopefully soon.
Monday, 23 November 2020
Big data applications are ubiquitous now. Almost all websites and apps are tracking and recording user behavior for future analysis of user behavior. Big data technology includes data collection, sorting, analysis, and creation of user behavior patterns. Only in this way can big data be valuable to businesses. The development of big data applications lays the foundation for higher-level market research, product development, user acquisition, and marketing.
The evolution and progress of big data technology
Collecting data is not a new concept. Earlier data is stored in in-house data storage units that require a large amount of physical space. These data are analyzed by RDBM and other database management systems and stored in the form of sequential tables and arrays. The current technology is no longer suitable for the data processing requirements. Huge data collected by new digital devices including computers, mobile devices, and the Internet of Things need to be optimized for further use. This has become a complex task.
Smartphones enable geographic data synchronization, the development of new mobile apps, and the features of their geographic location have opened up the development of new dimensions of data.
This data includes data collected using mobile apps that track users. They enable business operations to enter new areas. These data can more effectively determine user behavior patterns. Location data can be used on Google Maps, travel websites and apps, and retail platforms, provide users with customized content to meet users' personalized needs.
Internet of Things devices promote the development of big data, and everything in our lives is digitizing. The various electrical appliances we use daily, such as TVs, washing machines, watches, fans, etc., are now smart devices that can be tracked. They are a huge source of user data, which is conducive to creating real-time behavior patterns. This is the key of big data analysis, and these behaviors are widely used by companies.
Chatbots dominate the future of big data. Chatbots can communicate with multiple customers in real time, provide high customer participation and satisfaction, and can easily collect large amounts of data. Chatbots are becoming effective tool for many companies to collect big data.
Chatbots are increasingly used to analyze human mentality and recognize human emotions. In the process, they themselves become more intelligent. This mutually improved relationship, combined with artificial intelligence, can develop a user-centric and future-oriented system.
Mobile apps, social networks, web search, and Internet of Things devices are generating and collecting massive amounts of data at an unprecedented speed. The development of cloud technology, machine learning, artificial intelligence and other technologies will help companies process these big data in a few seconds, to help them make clear decisions, this will be the future trend of enterprises applying big data technology.
Thursday, 29 October 2020
Digital transformation has become one of the inevitable trends in business development. The core of digital transformation is data and analysis. Data can be used to better sell to customers, track their consumption habits, understand their pain points and gain insight into their purchasing decisions. For companies, it can also be used to improve processes, cut costs, increase productivity, and make decisions.
Data collection and analysis are collected through the use of information-collecting sensors and software, and then the analysis platform is used to analyze the information to identify trends. There is no one-size-fits-all solution for data and analysis. Different enterprises and different environments require different solutions. The development of an analysis strategy is to identify possible situations and customize them according to the organization.
Examples of the data collection environments and use of analysis
The first application is a conference room, which is an ideal starting point for companies to implement data and analysis strategies. Through the data collection and analysis of the meeting room, the office space can be effectively integrated and fully utilized, and energy can be saved. You can also understand what kind of equipment employees like to use, and then use these equipment to effectively improve work efficiency. Without data collection and analysis capabilities, this information cannot be collected.
From the initial manual recording of data samples and entering them into a spreadsheet for analysis, to adding sensors and binding them to the data collection platform for analysis, time and effort can be saved.
In the pharmaceutical industry, data is essential to ensure maximum production capacity and maximum profitability, and process and quality compliance with FDA's strict requirements.
Shipping and Receiving
Transportation companies use GPS sensors in their vehicles, which scan cargo as they arrive and leave.
This allows the transportation company to understand all possible situations in real time. When a truck breakdown will delay the delivery, the transportation company can contact the customer to inform them in advance so that their customers can prepare for the delayed shipment. This is when a problem occurs, corresponding measures can be taken.
In addition, collecting this data can provide insights before problems arise. The real-time update of data can make the goods shipped to the destination faster, generate more revenue and reduce more cost savings.
Retail has become the best way to collect and analyze data.
Counting sensors can understand how many people are in the store and where they gather. Facial recognition software can be used to understand where people of a particular gender or age move in a store. This can help the company better set up the store, including ensuring that the right products are in the right locations.
Data collection and analysis of own company
For company operators, they need a set of data collection and analysis strategies tailored for their company. Company leaders can obtain information through data and corresponding graphs in order to make correct decisions.
This is the key to a smooth entry into digital transformation.
Thursday, 24 September 2020
In 2016, Business Insider's report on the use of emerging technologies in business showed that many business decision makers will adopt chatbots by 2020.
Some recent data show that 67% of online visitors interact closely with chatbots, and 58% of companies using chatbots are B2B companies. These AI automated assistants can process most of the 2 billion pieces of information between companies and their customers.
The use of chatbots in enterprises has reached a certain scale and continues to increase. How can B2B marketers use artificial intelligence-based platforms to increase the return on investment (ROI) of their businesses?
1. Enhanced inbound marketingThe Internet makes the cost of advertising lower, and advertising floods the Internet. Customers become numb and disgusted with a large number of advertisements. They prefer to find products by themselves. They prefer this process and believe that meaningful and lasting partnerships can be established.
2. Delight customers with content-driven marketing strategy
On the one hand, this kind of information is ignored by customers or sent directly to spam. Traditional online marketing methods have failed. The new content-driven marketing strategy can please potential customers and further realize the transaction. What buyers like most is the professional information conveyed by the content. From obtaining professional information from the seller, to doing research, and determining solutions, they need to get the help of seller’s marketers, chatbots can automatically communicate with buyers at all stages and at any time. Chatbots rely on artificial intelligence technology to simulate human-to-human interaction.
3. Chatbots improve customer experienceWith chatbots, there will be the feeling that marketers and salespeople are always present.
For potential customers whose purchasers are decision makers, they may need this information at any time during the day to make a decision. This is a challenge for any sellers, because they are either in time cost or labor cost. It is very difficult for marketers or salespeople to be present at all times. But the chatbot can answer any questions of potential customers in a timely manner.
4. Chatbot optimizes the buying processChatbots can identify who is more likely to become a customer of his company during the initial answering of the question, and filter out others.
Next, the chatbot can guide potential customers to read the seller’s company’s blog and watch videos before buying, so as to better understand their products, services, purchase procedures, after-sales service and other important issues.
These features of chatbots can help sellers improve their return on investment (ROI).
The sales channel has increased from the previous LinkedIn to the current Facebook. Not only does Facebook have a larger scale of usage, but its multiple tools can help establish B2B customers more effectively. The Facebook Messenger chatbot has unlimited possibilities for generating B2B potential customers. Marketers can
5. Add new sales channels
- Collect data and follow up
- Generate customer insights to help marketers guide potential customers
- Provide brand interaction for potential customers
- Promote content to different groups of people
- Make simple transactions
Chatbot technology improves the return on business investment by enhancing lead generation and supporting other B2B marketing strategies.
It has changed the B2B marketing method and saved hundreds of millions of manpower and time costs. This trend is still developing.
Monday, 10 August 2020
The main reasons for the rapid development of the artificial intelligence revolution and its impact on business
Artificial intelligence is called the fourth industrial revolution, or intelligence revolution. Like the previous three industrial revolutions, it will change the world, and the impact of this revolution will be more far-reaching and significant.
The key to this revolution is that artificial intelligence can make intelligent machines including computers, robots, drones and other devices "think" like humans. This process is to obtain information from a large amount of data, edit, organize, summarize, calculate, and then make decisions based on the processed information and take actions.
The rapid development of artificial intelligence is based on two main reasons
The development of digitization worldwide has enabled humans to have more data than ever before. The more data that artificial intelligence can access, the more accurate the information it can interpret. Just like watching a video on YouTube, the more you watch it, the easier it is to recommend other content you like.
Advanced technologies such as cloud computing and distributed computing have made it possible for computing power to develop rapidly, processing and understanding all data, and human beings are storing, processing and analyzing data on an unprecedented scale. Without this, the data will be worthless.
Whether it is a small company or a multinational company, whether it is a traditional industry or a new type of industry, all will be affected by this intelligent revolution.
And its impact on business includes the entire process, from how to create the product, how to market it, and how to optimize operations. This is something that every company must reconsider, so that it is conducive to its own companies to establish a corresponding and reliable artificial intelligence strategy to ensure that artificial intelligence is used to create greater value.
Human beings can use artificial intelligence to enjoy the dividends brought by new technologies, on the other hand, they also need to actively defend artificial intelligence from being used in immoral or evil ways.
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