Artificial intelligence is a hot topic, and it’s not just in the movies anymore. The public is beginning to realize that artificial intelligence is going to be a big part of our lives in the near future. Many people have heard about AI and even have opinions about it, but it’s easy for those opinions to be misguided because the world of AI can seem murky. What is artificial intelligence? How will it affect business in the future? How Can You Use Artificial Intelligence in Your Business? Here are 5 ways you can start incorporating AI into your business today.
Automation
Sit down and think a bit. How many mundane tasks can be done efficiently by a machine? One of the best ways to begin a conversation around AI is to think about your day-to-day activities. After all, everyone uses a lot of information every day, from emails to social media to calls to driving directions and more. Think about what you could automate and what you could put an artificially intelligent system to do. Take a step back and think about the tasks you’re currently doing and if there is an algorithm or process that could speed things up. Is it huge now? Maybe it needs to be sped up a little bit. Everyone can do something!
Here are some examples of tasks that can be automated:
Research
Think about how you could perform a quick search for information or best online options to refer to on the go.
Write emails
Automate the email process so you’re not busy researching and writing emails all day.
Schedule appointments
Have the AI automatically send out an appointment to help you with anything that could be done manually.
Ecommerce
Optimize product pages by finding the best information, finding an exact match, and making sure emotions are included on the page.
Schedule meetings
An AI could schedule meetings based on people who shared the same interests, connected with the same people, or need to be at the meeting location at the scheduled time.
Machine learning
Machine learning is a field within computer science that gives computers the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to improve their performance without being explicitly programmed. To use machine learning, computer scientists must program certain factors into the algorithm that make the computer learn. For example, if a computer is asked to write a webpage, the computer might be asked to write a webpage with certain content, certain keywords, or some combination of these factors.
While there are ways to ensure that a computer knows how to do certain tasks without being explicitly programmed, this learning can still occur. Inclusion Machine learning continues to evolve, and it’s no longer limited to computer programs that can analyze each of the billions of documents that Google processes daily. If you search Google for “Pharma Company,” you’re going to see a variety of articles from authoritative, human-edited sites. If you search for “AI Company,” the results may include articles from only a few websites. There’s no black or gray in this world. People are both welcoming and fearful of artificial intelligence. Some experts are arguing that AI companies are coming for our jobs.
While the point of bringing up such a negative point is to draw attention to a negative aspect of AI, there are stories about smart machines replacing jobs, too. Artificial intelligence will ultimately affect all of us. How will this affect your job in the future, and how can you prepare for that day. Empathy If you haven’t joined the conversation around AI yet, I hope this article has brought you up to speed. If you’re still unclear about what artificial intelligence truly is, here are some important definitions: Artificial intelligence (AI) is the ability for machines to carry out tasks that a normal human can’t.
Natural language processing
Natural language processing (NLP) is a field of computer science that focuses on enabling computers to understand human language. NLP-based systems are used for tasks such as speech recognition, machine translation, text-to-speech synthesis, and information summarization. NLP is closely related to natural language understanding. Things like natural language processing, topic modelling, and stemming are all ways to build automated processes for understanding the language you input into your machine. Even something as basic as choosing the days of the week can be completely automated with NLP.
Hiring for NLP-based machine learning specialists can be a good start for creating more effective and efficient processes for your business and team. Social media Speaking of NLP, another area where artificial intelligence is popping up right now is in the form of consumer service. The idea of customer service has always been a very human one, and we’ve always tried to provide the best customer experience. But with new machines such as body worn cameras, smart assistants, and voice search technology, the idea that a customer could ever get in touch with the companies they encounter on a daily basis has increased.
Today’s full-service businesses allow customers to get the information they need in a way that’s easy, convenient, and friendly. Examples of full-service businesses include: UberEats, Book, Duolingo, TellApart, TripAdvisor, Obviously, these businesses are filtering out the low-quality or inaccurate reviews and are putting more effort into finding the best possible experiences for their customers to give them. To this end, they use advanced A.I., sentiment analysis, and list building techniques to gain feedback and better understand their customers’ needs in order to respond better and with more ease to every interaction they have with the brand. How to create some winning brand messages and some brands already know how to use AI effectively, while others need to start combining AI with marketing. When you’re creating messaging for your brand or your clients, don’t forget to consider how the technology you use is going to help you best serve those customers.
Virtual assistants (chatbots)
Chatbots solve a lot of problems that make businesses inefficient. They cut down on the amount of time spent on repetitive tasks, freeing up employees to do more important work. For example, chatbots can be programmed to answer customer service questions and take orders for products and services. Chatbots can also automate simple parts of a sales process, such as entering in billing information or collecting payments.
Image and video recognition
Image and video recognition is becoming increasingly important as more and more people are using social media to learn about companies and products. Using artificial intelligence, image and video recognition can be used to analyse what people are saying about your brand, as well as to check if your products are being used correctly. You can also use machine learning to determine which high-performing content to include in your website and then encourage people to share the content online with your brand. When it comes to artificial intelligence, predictive modelling is one of the most important technologies.
What it means for you: If it’s a matter of predicting upcoming trends in the market for products and services, then artificial intelligence will let you create automated content campaigns to target specific long-tail keywords. How it works: If you have access to data such as social media data, try to evaluate common guesswork and guess patterns in what our client tweet. Using machine learning methods, predictive models can be created and average any possible data to analyze something as smart as what people actually tweet.
In addition to social media, customer insight fits with AI. For instance, it’s easier to target people based on past behaviour (such as what they’ve shared on social media) because it helps determine how you can build better content to suit that behaviour. How it works: People aren’t people without flaws, desires, and other characteristics. You can determine that by analyzing what your customers are saying in your chat applications and on your site. The specific characteristics can be identified with machine learning so you can determine what type of content you should create to match the characteristics.
