Artificial Intelligence Trends That Will Drive Business in 2023
Artificial intelligence keeps transforming the world around us, offering more and more innovations and business opportunities every year. According to McKinsey’s Global Survey, AI helped respondents ensure business efficiency and cost reduction. Let’s look at the key emerging AI trends in 2023 to find out what businesses should pay attention to this year.
AI Makes the Metaverse Real
Enough time has passed since the initial hype around the Metaverse that we’ve seen the first metaverse projects, and AI is a big part of many of them. Since AR and VR technologies, which are the basis of metaverses, have certain limitations, artificial intelligence is the tool that helps to bypass them. For example, AI helps to build more realistic and immersive virtual spaces thanks to its pattern recognition and pattern generation capabilities.
NVIDIA Omniverse is an interesting example in this area. The platform offers a set of tools for creating metaverse applications, including voice AI, AI for creating 3D objects from 2D images, and more. Another interesting use case is full-body tracking shoes that use AI to turn the wearer’s actions into player movements. The list of AI-powered metaverse projects can go on and on.
Improved Security Systems Powered by AI
Since biometric authentication using face and voice recognition, and automated image analysis powered by artificial intelligence have appeared, the business has gained access to a new level of security. This, in turn, allowed a number of innovations to appear.
Building speech recognition systems has become a good practice for applications in various domains. For example, the Royal Bank of Canada (RBC) offers customers the option to make payments using voice commands. For this, the system needs not only to recognize commands but also to be sure that they are provided by the owner of the phone with their unique vocals.
However, we cannot ignore the fact that potential attackers also have at their disposal a lot of technology that helps one person pretend to be another. Built-in anti-spoofing features, which detect synthesized and recorded voice, are another technology that needs to be developed alongside biometrics.
AI Chatbots Are on the Rise
Businesses love chatbots because they allow them to streamline customer services, streamline workflow and reduce costs. AI makes chatbots smarter and allows for significant improvements in machine-human communication. Unlike traditional chatbots, AI-based solutions can not only follow a standard set of commands but can also understand customer intent and needs. For example, a chatbot in the medical field can not only make an appointment with a doctor and provide answers to common questions but also remind the patient when it’s time to take medicine.
The development of artificial intelligence technology even allows you to give a chatbot a human appearance. For example, Kuki AI is an embodied AI bot that can chat with users, play games and act like a real online friend. With the development of the metaverse, the demand for such solutions will only grow.
AI No-Code Platforms for Quick Technology Adoption
The rise of no-code AI platforms makes artificial intelligence technology more available for small companies. Such solutions take 90% less time and effort than writing code from scratch with the appropriate data sets. No-code AI allows you to test the feasibility of an idea without an expert’s involvement and at much lower costs. The most popular players in the market are Google Cloud Auto ML, Google ML Kit, Runaway AI, CreateML, and MakeML.
However, you should keep in mind that no-code AI platforms are not a perfect match for most projects and don’t replace full-fledged ML models training and integration. No code solutions are justified in cases where the settings of the developed products are not so critical. For example, you can use no-code tools to automate sorting your emails by relevance with a single line of code. But you can’t have a scalable solution using no-code AI platforms for complex use cases.
Artificial intelligence trends correspond to general economic trends and are aimed at meeting current business needs. Companies are at different stages of mastering these technologies. Some are already implementing their own solutions, while others are considering and testing AI capabilities that became more accessible with no-code solutions. However, the priority for AI experts in the coming years is to create models that require less data to train, which will allow faster application of AI to increasingly complex tasks.