What is going on in your customers’ minds? That is the question marketers and business owners have been asking themselves for years.
Is there a way to grasp how consumers really feel about your products? And if so, how can you use that to develop better products and create a more profitable business?
Yes, all of this is possible. Deep Learning, Machine Learning, and Natural Language Processing are transforming the way businesses interact with consumers.
How do these AI components work? And how does Symanto use these technologies to transform business operations?
What Is Deep Learning?
Deep Learning (DL) is the newest phase in the evolution of machines.
Phase one is Artificial Intelligence (AI). It refers to a machine’s ability to solve problems (like a calculator) or complete tasks. Think of AI as machines exhibiting basic human brainpower.
Phase two is Machine Learning (ML). This is when machines can learn by themselves based on the data and functions they are given.
ML also gives computers the ability to make predictions. Machines use the information to make predictions about future data. Computers create intuition from past data to generate accurate conjectures.
Phase three is Deep Learning (DL). Machines in this level exhibit information processing patterns that resemble the human brain. DL algorithms allow machines to accomplish sophisticated tasks, identify patterns, and classify different types of information.
What Is Natural Language Processing?
Natural Language Processing (NLP) combines computer science, artificial intelligence, and linguistics. It focuses on how humans interact with computers.
NLP is a subset of ML and falls under the AI category. Essentially, NLP uses AI and linguistics to allow humans and computers to communicate.
It bridges the gap between machines and man. Successful NLP allows a computer to hear, analyse, and process words a human says.
How Does NLP Work?
NLP is overly complex. The computer must understand human linguistics, including:
• Pragmatics (conversation)
• Semantics (the meaning of words)
• Morphology (word structure)
• Syntax (sentence structure)
To comprehend all of the properties of human language, computers have to make sense of unstructured content and give meaning to words.
That’s where NLP comes in. It uses machine learning techniques and AI to allow the computer to function like a human brain.
Still a little confused? That’s totally understandable. NLP is a complex topic that has taken years to perfect, and it still has its flaws.
However, a prime example of an NLP product in today’s market is Amazon Alexa. Alexa records our words, breaks down our commands and identifies words to complete tasks. When prompted, Alexa speaks in a way we can understand.
Need another example? Consider basic writing functions like autocorrect, autocomplete, and predictive text.
Computers and cell phones recognise language patterns to fix mistakes. They can also predict the next words in your sentence. Some NLP software can even change or recommend words to enhance the delivery of your message.
Use Deep Learning and NLP to Grow Your Business
Deep Learning, Machine Learning, and Natural Language Processing are master components of Artificial Intelligence. When applied to business settings, these technologies become game-changers.
Natural Language Processing allows computers to analyse, understand, and derive meaning from human language.
Machine Learning provides computers with the capability to make predictions about future data.
Deep Learning leads to better solutions with fewer data and less manual intervention. Cascaded layers of nonlinear processing units allow for accurate information extraction and transformation.
All businesses can utilise Deep Learning technology to help them:
• Understand what consumers are thinking
• Grasp how customers feel about a brand or specific products
• Transform operations and processes
• Predict innovative changes for competitive advantage
Symanto does this in two significant ways.
Using DL Technology to Model & Predict
Symanto uses expert annotation of data to build predictive models . These models process and extract the necessary data to accurately profile users, products, and brands. It can also predict business trends as they pertain to your industry.
Deep Learning allows for better performance with less human intervention. Symanto uses engineering and Psychology AI to transfer learning from humans to computers. The result creates accurate models and predictions for businesses.
For example, your business can utilise DL technology to enhance your Unique Sales Proposition (USP). You can use predictive models to develop an innovative USP that speaks to demographics you may be currently overlooking.
Essentially, with comprehensive predictive models on your side, you can have more influence over your customers’ buying decisions.
Using DL Technology to Explain & Transform
Symanto uses low-resolution, noisy data to gather clean and well-structured information that is immediately actionable. And do this without any human annotation.
Explainable Deep Learning helps Symanto achieve this transformation. Cheap, ubiquitous metadata transforms into expensive (and highly accurate) fine-grained information.
We use this information to transform operations across an organization, including:
• Product development
• Customer service
• Competitive intelligence
• Brand health
• Employee perception and satisfaction
Transform Your Business with Deep Learning Technology
Symanto uses various elements of AI technology to propel businesses. The combination of Deep Learning, Machine Learning, and Natural Language Processing allows organisations to enhance cross-functional operations.
Identify what consumers want. Make accurate predictions. Implement product changes. Increase customer loyalty. Grow your business.
Explore our Symanto Insights Platform to learn more about our capabilities. Discover how to connect with customers like never before.