by Dr Mark van Rijmenam on October 17, 2022
Us humans have always worked towards making our lives easier and better, and this constant struggle to achieve something better worked as bliss for humans. Isn’t it so fascinating to look back at our cave-devilling ancestors and realise how far we have advanced as humans? We went through various milestones to achieve the technology we have today.
As we further surpassed in technology, we stumbled upon exploring artificial intelligence. The artificial intelligence (AI) we have today is in a golden age right now. Every industry is undergoing a sea change due to AI’s inflection point. Specific applications of AI have already been discussed in great detail. Consider this post a complete guide on the practical use and foreseeing of artificial intelligence and how it impacts our lives.
As a starter, I offer five bold predictions about how artificial intelligence will fundamentally alter our economy and society in the next decade.
Where Do We Stand in the World of AI Today?
With artificial intelligence technology constantly developing, we will soon rely heavily on it for our daily tasks. Several everyday tasks, such as getting in touch with friends, using an email service, or renting a car, are now made easier with the help of AI. But summarising its benefits and impacts on our daily lives is not simple. To acknowledge my readers, I have curated these worth-mentioning fields in which AI came and quickly took over.
Let’s explore some real-life artificial intelligence applications.
1. Using Artificial Intelligence for Navigation
Several logistics companies- including Uber -rely heavily on artificial intelligence for operational efficiency, traffic analysis, and route optimisation. For example, a study from MIT found that GPS technology can improve safety by providing users with accurate, timely, and detailed information. With this technology, users can automatically detect the number of lanes and road types behind road obstructions using Convolutional Neural Networks and Graph Neural Networks.
2. Marketers Use Artificial Intelligence to Increase Their Efficiency
There are also many AI applications in the marketing sphere. With the help of AI, many marketers can deliver highly targeted and personalised ads using behavioural analysis, pattern recognition, or other methods. It can also help you retarget potential customers at the right time to achieve better results and avoid feelings of distrust and irritation. In addition:
AI for Content Marketing Purposes
Brands can use AI to match their voice and style with content marketing. Reports about campaign performance, etc., can be generated using it. For example, articles, blogs, and other content can be written using Copysmith.ai, which employs artificial intelligence to generate text based on hard stats.
Copysmith.ai and other artificial intelligence tools can write news stories, sports stories-and financial reports. However, they cannot yet grasp the nuances of features and opinion pieces. Despite that, AI-generated content will continue to be used as a major tool for niche marketers like these within their respective fields.
We must also consider the development of Generative Pre-trained Transformer 3, or GPT-3, an artificial neural network that learns to write in ways similar to humans. It is considered “the most powerful and advanced text autocomplete program”. It uses a database of all possible phrases (that grows with each use) to perform very fast-almost as if you had typed them yourself!
In fact, Copysmith has announced the application of this revolutionary technology to offer quality content solutions to its customers.
AI Usage for Chatbots and Customer Service
Artificial intelligence-driven chatbots can analyse the user’s language and respond similarly to humans. As messaging apps have risen in popularity among younger millennials and Gen Z, brands have begun using chatbots to provide customer service.
Many companies have chatbots on their websites, which answer common customer questions by drawing upon past conversations. As they get more data and learn from every response, these bots continue to grow smarter over time. Zoho’s Zobot is an example of an AI-driven chatbot solution for many companies across the world.
AI Developments in Marketing Campaigns
Using AI in marketing campaigns can help local markets understand the needs of their markets and provide users with real-time personalisation based on their behaviour. CleverTap is a great example of AI software offering a suite of analytical tools to help you understand your users, optimise conversions, and measure success.
3. The use of Artificial Intelligence in robotics
Applications of artificial intelligence are also used widely in robotics. Real-time updates enable AI-powered robots to detect obstacles and plan their journeys instantly. For a deep dive into robotics, please check out this article in which I share the most important developments and insights in this regard.
A few examples of its uses are:
a. Transporting goods in hospitals, factories, and warehouses. For example, Savant Automation is a US-based company providing automatic guided carts, lift trucks, automatic truck loading units, and other AI solutions for important enterprises, including Toyota, Astra Zeneca, and Sears, to name a few.
b. Maintenance of large machinery and offices. On the 3DEXPERIENCE platform from the French software company Dassault Systmes, manufacturers can take advantage of many AI-driven applications that support predictive maintenance to increase productivity and minimise risks at the workplace.
c. Controlling inventory. FellowAI provides advanced computer vision and robotics systems, which can identify and track objects in real time by using artificial intelligence to constantly improve inventory performance.
4. Gaming and Artificial Intelligence
Gaming is another industry where Artificial Intelligence applications are prominent. AI can be used to make NPCs -which stand for Non-Player Characters- that interact with players in a human-like way. In video games, non-player characters (NPCs) are the characters that are controlled by the game itself rather than by a human being. They differ from other character types in gaming because they’re not under the direct control of any person.
Recently, a Disney-backed startup, Inworld, closed a $50 million Series A funding round to develop realistic non-playable virtual characters (NPCs) driven by AI.
Game designers and testers can use it to improve game design and testing by predicting human behaviour. A game released in 2014 called Alien Isolation uses AI to stalk the player’s every move. Artificial intelligence is used in the game in two ways: the “Director AI,” which frequently tracks your location, and the “Alien AI,” which constantly hunts you down with sensors and behaviours.
Artificial Intelligence in gaming is meant to provide players with a realistic experience-with an opponent who plays as a real human would, think the movie Free Guy. In addition, AI helps increase player interest and satisfaction over the long term by increasing the level of challenge present in each game.
5. Incorporating Artificial Intelligence into Lifestyles
In today’s world, artificial intelligence is everywhere already. Several of these applications deserve our attention, and here are a few examples of how AI has intervened in our lives without us realising it.
Art, Images, and Video
Artificial Intelligence is shaping how images and videos are produced, analysed, labelled, and visualised. These synthetic media have been used to enhance user experience in several areas, such as image search, video visualisation, image/video editing, and machine learning for image classification.
In a breakthrough announcement, Google scientists revealed the creation of Transframer, a new technology that can generate short videos based on singular image inputs. The new technology could someday serve as a complementary or alternative method of creating virtual environments, allowing developers to create them with machine-learning algorithms.
The framework is a huge step in video technology-it provides the ability to generate reasonably accurate video based on only limited data. Additionally, Transframer models showed high accuracy on other video-related tasks and benchmarks, such as semantic segmentation, image classification and optical flow predictions.
The artificial intelligence our cars has today is just a glimpse of how much it can advance in the future. We can take it as the tip of the iceberg. Machine learning is used by manufacturers like Toyota, Audi, Volvo, and Tesla to train their computers to drive in any environment and detect objects to avoid accidents by learning from accidents.
Facial Recognition
The devices we use daily, including our phones, laptops, and PCs, use facial recognition techniques called face filters to identify and verify us and provide us with secure access. Artificial intelligence is widely used in several fields, including high-security areas.
Executive Boards Members: CEOs
One of the most surprising developments in the field of AI is undoubtedly CEO robots. Tang Yu, a humanoid robot, has been given an executive role at NetDragon Websoft-the first time a machine has held such a position in business history.
In a press statement, the China-based online gaming and technology company announced that its new CEO would speed up decision-making and increase efficiency by improving workflow. In addition, Tang Yu will help the company improve its risk management system by acting as a real-time data hub and analytical tool in the company that is almost worth $10 billion.
The Future of AI in the workplace and Our Daily Lives
A new report by Grand View Research projects that the global artificial intelligence market will reach USD 390.9 billion by 2025. According to the forecast, the market will grow at a CAGR of 46.2% by the year 2025. Integrating artificial intelligence across various applications is a significant market driver.
The development of voice and image recognition contributes to the worldwide market’s growth, as they represent the most common applications of AI in our daily lives, being used in a variety of devices and for many purposes. Also, robotics, drones, and self-driving cars all need better image recognition technology.
In recent years, artificial intelligence has impacted many industries. Enterprises adopting machine learning and deep learning algorithms have disrupted many existing sectors.
Let’s take a look at some predictions of how several prominent industries will get disrupted by AI the most.
AI and Healthcare
Adopting AI in the healthcare sector is expected to bring many benefits. A key objective of the healthcare sector has been to collect relevant and accurate data on patients and those seeking treatment. Healthcare is a data-rich industry, so AI is well suited to it. Secondarily, AI can be applied to many healthcare solutions and improve the lives of patients living with many types of conditions.
By introducing AI into healthcare, predictive and personalised healthcare can be widely deployed. Artificial Intelligence can assist doctors in making proactive decisions regarding the health of their patients by using predictive analytics. Healthcare needs to be viewed differently than it is now, with a proactive and personalised approach rather than a reactive generic one. In addition to monitoring patients’ health remotely, doctors can also get alerts if a patient needs emergency treatment through IoT-enabled embedded devices.
AI can also efficiently analyse scan results through image recognition and predict healthcare. As AI can process multiple scans much faster than humans, doctors are already using this technology to diagnose symptoms more quickly. There is also a growing trend of developing health chatbots, enabling doctors to obtain preliminary information about patients’ symptoms using these bots.
Researchers at the Mayo Clinic have developed an artificial intelligence model to help clarify the many possibilities for treating a disease. They reported that they had created an AI model capable of predicting in real-time whether a pregnant woman will have a successful vaginal delivery with positive health outcomes for both mother and child.
Collected at: https://datafloq.com/read/what-is-the-future-of-artificial-intelligence/
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