As technology advances, artificial intelligence (AI), is finally making its mark. AI is rapidly revolutionizing modern business. It has moved from the realm of science fiction to the hands of everyday people. AI is making waves in the marketing world, with innovative partnerships with IoT (Internet of Things) and insight-driven eCommerce platforms.
Understanding AI and the “Insights revolution”
Forrester predicted AI would “drive an insights revolution.” In 2019, the research firm estimated that AI investment would rise by 300%. According to the report, AI, IoT, and big data technologies will “steal $1.2 trillion annually” from those who don’t use them by 2020. Forrester identified several possibilities for AI, including increasing business access to data, faster business decisions, and closing the gap between insight and action.
We are now almost halfway through 2019, and both B2B- and B2C companies are integrating AI and machine learning through complex systems, advanced analysis, and cognitive computing. Many service providers already include cognitive computing and AI components in their turnkey solutions. This allows businesses to make better marketing decisions and is faster. Artificial intelligence is becoming a key component of modern marketers’ daily tasks, such as creating content and writing search-engine-optimized headlines. AI allows for incredible deep learning capabilities as well as data analytics tools that give marketers the real-time, advanced information they need in order to improve their efforts.
AI is being used by many companies to drive innovation and growth. CureMetrix is one example of a startup that uses artificial intelligence algorithms to assist hospitals in caring for their patients. CureMetrix optimized data collection and analysis using AI to allow doctors to make better diagnoses and improve patient survival rates. This is only one example of how AI is being used by businesses to improve the modern world. It is a clear demonstration that AI is truly driving an insight revolution.
The Machine-Driven Deep Learning
Marketing AI is based on deep learning. This describes machine learning that uses algorithms and is inspired by neural networks in the human brain. Deep learning is a technique that uses algorithms to teach computers to read and understand text, images, speech patterns, and user queries. The computer then uses its knowledge to provide relevant, useful answers and solutions that meet the users’ requirements. Deep learning with AI allows brands to respond better to users’ demands and create compelling, hyper-relevant ads and content at all times.
Facebook’s new deep learning application, launched DeepText (an AI tool that allows Facebook to analyze thousands of comments and stories on public posts in seconds) is an example of a brand that uses deep learning. DeepText analyzes more than 20 languages to translate text into meaningful communications. DeepText allows Facebook to make precise recommendations and display relevant content based upon users’ conversations. Facebook is now able to achieve unmatched marketing relevancy, which propels it to the forefront in content recommendation.
Brands can use deep learning to collect, analyze, and organize critical user data. To create highly customized content for every individual, companies can use voice queries, searches, and interactions with consumers to gather data. AI can create a more personalized brand experience and cultivate user engagement and loyalty. The human brain is limited to what was possible before AI. Machine-driven AI applications allow business owners to automate the process of manually analyzing consumer data and making sense thereof for marketing purposes. Deep learning has been made possible by AI on a large scale.
Take advantage of Vision-Driven AI Marketing Apps
Vision-based AI is an algorithm that produces accurate data output and visuals such as footage from surveillance camera cameras. Vision-driven AI is a way for brick-and-mortar businesses to benefit. It captures footage from inside shops and pairs it with algorithms to identify consumer behavior patterns and measure the effectiveness of displays in-store. Computer systems can capture visual data and convert it into useful information that can be interpreted by marketers.
Marketers can position displays in the most effective areas by using AI to monitor customers’ eye movements when they enter a store. Advanced AI can even read license plates from cars passing by, transmitting the numbers to a third-party and creating hyper-relevant, personalized marketing experiences. Companies can use the data they gather from video footage taken in-store or out-of-store to take their marketing to new heights. Consumer privacy is an important consideration when using vision-based Ai.
Businesses can use AI in the eCommerce sector to analyze visual-driven social media platforms like Instagram and Snapchat. This allows them to turn user-generated visual content into information. AI can identify patterns in brand logos and products from user videos and photos. Marketers can use this information to increase social media engagement and boost their social media marketing efforts. As users upload, consume and upload more video and photo content, vision-driven AI marketing will become increasingly important.
The Latest Information on Language-Based AI Technologies
Artificial intelligence based on language is not a new technology. For years, researchers have been using artificial intelligence to analyze written and spoken words. Since 2011, innovations such as Siri and Amazon’s Alexa have use language-based AI to “interpret human phrases” and provide relevant answers. This type of AI is now maturing beyond the stage of language analysis to become more comprehensible. Although technology is still far from being able to communicate in meaningful, real conversation, it has improved its understanding and provided better responses.
The use of language-based AI in marketing has opened up the door to chatbots. Chatbots interact with customers using a conversational interface. They respond to their needs and queries. Chatbots imitate intelligent human conversation and make brands seem more compassionate, understanding, and willing to assist. Chatbots can be used to interact with customers as customer service representatives, from anywhere they are connected. Chatbots of the future can also learn from previous conversations in order to answer your questions more accurately.
To optimize user experience, marketers are turning to language-based AI for sales tools, payment processing, and engagement managers. Your customers no longer have to navigate the purchase process by themselves. Instead, they can rely on chatbots. With the help of an AI chatbot, checking out is as easy as a click. Language-based AI is rapidly improving. It “learns” from past experiences, and then automatically optimizes to provide a better experience next time. Bots today can communicate with customers, taking the pressure off your team and increasing customer satisfaction.
Master Data Analytics
Data analytic capabilities are perhaps the greatest advantage of AI in marketing. AI, IoT, and big data combine to create a trio of consumer information analyses. Machine learning is able to analyze huge amounts of data and provide marketers with actionable insights. Although IoT collects large amounts of data, AI is required to provide insights. Artificial intelligence enables machine data to be analyzed quickly and precisely. Marketers can quickly make sense of data with AI.
AI and IoT have a mutually beneficial relationship. One cannot survive without the other. Marketers can create reports using AI applications and learn from the IoT’s information. AI makes these data more relevant. AI organizes billions upon billions of data points and narrows them down to the most relevant. Then it transforms these into useful, actionable information. Without AI, IoT cannot be used to its full potential by business owners. Many marketers are unable to use IoT and big data.
AI: The Future of Marketing
AI can be used in business to quickly and efficiently gather and analyze large amounts of data. AI, big data, IoT, and the human brain can open up new possibilities for marketing. AI allows businesspeople to collect different types of data and perform more detailed analyses. They can then take action based on the information. Artificial intelligence could be the best investment in your professional career as a marketer.
