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Artificial Intelligence (AI) was invented several decades ago. In the past, many people associated AI with robots. But, it plays a crucial role in our lives now. Personal gadgets, media streaming gadgets, smart cars, and home appliances use artificial intelligence. Also, businesses use it to improve customer experience and management functions. Here are six artificial intelligence trends to look out for in 2020.

Each business should strive to offer an enjoyable customer experience. Satisfying existing customers helps businesses market new products and services. AI enables firms to improve their customer service by offering better response time and interaction. Artificial system assistance includes sales tasks and customer services. It will be more streamlined this year.

Digital marketing experts predict that customer service representatives wont be required to manage over 85 percent of customer support communication by December. Companies can use programs and applications with Artificial Intelligence systems to build brand reputation and loyalty. They will help them increase their revenue.

Data is making Artificial Intelligence more versatile. Data access enabling ubiquity is one of the recent Artificial Intelligence innovations this year. Reliable and accurate information helps businesses shift to AI-powered automated decision making. It has cut operational cost, streamlined processes, and improved the research capabilities of many organizations.

For example, developers of the autonomous car software can access a lot of driving data without driving the vehicles. Soon, we will witness a drastic increase in the application of Artificial Intelligence in real-world simulations. As AI becomes more sophisticated, it will cause cost-effective and widespread availability of crucial data.

Artificial Intelligence, NLP, and machine learning to process data have a positive effect on augmented analytics. More companies will start using predictive analytics this year. It is essential in customer service, recruitment, price optimization, retail sales, and supply chain improvement. Predictive analytics will help businesses use real data to prepare for outcomes and behaviors thus being more proactive.

Companies need to understand delivery services and customer preferences to have an edge over their competitors. All-pervasive location and real-time data have conformed customer services in online marketplaces and urban mobility. Businesses need to offer relevant and personalized services to remain relevant and widen their client base.

Instant data on current marketing decisions is part of real-time marketing. It relies on relevant trends and customer feedback to prepare strategies. The number of real-time marketing activities is expected to soar in 2020, and Artificial Intelligence will drive most of them. Besides, more companies will apply AI to manage real-time user interactions and satisfy clients.

Many businesses use chatbots to market products and make payments. They are efficient in offering exemplary customer service. Many chatbots use data from huge databases. But, they might not comprehend particular phrases. Chatbots will match human conversation this year. For instance, AI-driven chatbots can recall some parts of a conversation with a client and make a personalized conversation using them.

Artificial intelligence has many possibilities. It is one of the most important technologies in Industry 4.0 and automation, agriculture, aerospace, construction, logistics, robotics, and connected mobility. AI customer support and assistance, data access enabling ubiquity, predictive analysis, enhanced customization, real-time marketing activities, and AI-powered chatbots are the top artificial intelligence trends this year.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Artificial Intelligence Trends in 2020 - Analytics Insight