Artificial intelligence has moved past sci-fi fantasies and made its mark in the real world. Among tech industry leaders like Elon Musk, Jeff Bezos, and Sundar Pichai, artificial intelligence is one of the most discussed and debated topics. Today, businesses across the globe are using artificial intelligence to develop applications that can improve employee productivity, streamline data security, and enhance customer experience. Also, multiple mobile apps and software users utilize artificial intelligence-based features such as chatbots, navigation, and personalized recommendations that deliver top-notch user experience. The recent trends and developments in artificial intelligence have led to mainstream adoption of the technology.
Artificial intelligence utilizes deep learning to recognize faces with great accuracy. Multiple smartphones use facial recognition to precisely authenticate users. Such facial recognition-based security methods can be used in several apps such as finance apps, password managers, and cloud services. Social networks such as Snapchat and Instagram use facial recognition for their quirky and interactive filters. Also, Facebook leverages facial recognition to identify and tag friends and family members in an uploaded picture. Hence, facial recognition has witnessed widespread adoption in the digital world.
Artificial intelligence and machine learning have helped in streamlining search engine experience by incorporating image and voice search. Similarly, Google has released an app called Google Lens, which helps users translate street signs, do an image search, scan QR codes, copy text from a physical source, and identify plant and animal species.
Voice recognition is extensively used in digital assistants and smart speakers with the help of Natural Language Processing. Natural Language Processing algorithms help in understanding human emotions, figures of speech, and sarcasm. Using voice recognition, digital assistants perform various tasks such as playing music, booking a cab, ordering products, navigation, and many more. Hence, mobile app development firms are incorporating voice recognition in apps for e-commerce businesses to help users in searching for products effortlessly.
3. Explainable AI
Artificial intelligence has a major problem of AI black box. Due to the black box, artificial intelligence systems make key decisions and predictions based on machine learning algorithms. Hence, artificial intelligence may produce biased results.
There is a dire need for explainable AI that can help developers and users understand why an AI system took a specific decision. Explainable AI systems can offer transparency and help in building trust among users. In this manner, developers and engineers can ensure that the decisions made by AI are accurate and free from any type of bias.
AI systems can aggregate critical data from various sources such as enterprise data, social media, open data sources, and end-user information to offer detailed analytics. These analytics can help business leaders gain insights into various business aspects such as end-user behavior patterns, employee performance, competitors’ business, product reviews, and many more based on the selected industry sector. Using these insights, business leaders can understand the strengths and weaknesses of their workforce and business models. Hence, business leaders can develop effective business strategies that can address the core issues and augment employee productivity. Also, organizations can predict upcoming industry trends with the help of big data and artificial intelligence. In this manner, businesses can prepare for changing industry trends by developing effective strategies that can help them in adapting to upcoming changes.
Artificial intelligence-powered cybersecurity systems can improve security on multiple devices. With the help of machine learning, cybersecurity systems can monitor and analyze the behavior of services running in the background. In case an AI-enable cybersecurity system detects any malicious activity, it can alert users and terminate the malicious program. In this manner, machine learning can help cybersecurity systems in identifying anomalies autonomously and significantly reduce the time spent in detecting potential attacks and intrusions. Hence, AI and machine learning help businesses develop effective security protocols.
Artificial intelligence can also be used to provide intelligent restricted access solutions. Generally, businesses grant admin privileges only to the necessary personnel to protect confidential data from intruders. However, sensitive data can be illegally accessed using attacks like Man-In-The-Middle in case an employee is connected to a public network. To address this issue, artificial intelligence can offer intelligent solutions that can analyze an employee’s location, network information, and device data to restrict data access.
Almost everyone is aware of the ability of Google Translate to translate text in various languages. Artificial intelligence and Natural Language Processing tools can help in translating numerous words and phrases in different languages. Natural Language Processing technology analyzes text, detects its language automatically, and offers multiple options for translation. Hence, artificial intelligence can be used to deliver highly functional translation tools.
E-commerce mobile apps and websites leverage artificial intelligence and machine learning systems to deliver personalized experiences to their customers. AI models can collect and analyze large volumes of customer data such as personal information, geographical location, purchase history, and social media posts. Using such data, businesses can gain meaningful insights into different customer demographics. With the help of these insights, e-commerce businesses develop personalized marketing strategies and offer products that can be relevant to a customer. Similarly, multiple businesses can use artificial intelligence to deliver personalized experiences for their customers.
Integrating artificial intelligence technology can offer multiple benefits to businesses and mobile app and software users. However, business leaders need to be aware of technicalities such as data collection, storage, programming, and security while adopting artificial intelligence. Hence, business leaders can reach out to the experts at a reliable software and mobile app development firm like Digital Fractal for artificial intelligence-based development.