Some Artificial Intelligence Trends that Will Set the Course for Digital Marketing in 2022 and Beyond

Nowadays, AI is more widely used than ever.

It really is everywhere.

It is expected to be one of the most revolutionary events of the 21st century, with effects on almost every part of our life, from routine ones like content creation and shopping to cutting-edge ones like space exploration.

A Gartner report estimates that the market for AI software will generate $62 billion in revenue by 2022. That represents a record high and a rise of 21.3% from the previous year’s figures. Over 50% of businesses are said to utilize AI, according to a McKinsey poll.

Therefore, there are strong signs that AI, along with other developing technologies, will significantly impact how we conduct our daily lives and business.

This can only suggest that AI technology is here to stay and that the sooner you embrace it, the better. For digital marketing Virginia Beach professionals, it’s time that they embrace AI and machine learning into their marketing efforts.

A whole new level of opportunity, automation, personalization, service delivery, and data accessibility are among the predicted effects of AI.

Okay, let’s get started.

Trend 1: Generative and Creative AI

While generative AI is focused on producing texts, creative AI is concerned with making art, video, audio, poems, etc. These are a few of the most well-known applications of AI technology that have grown incredibly popular over time.

Since the development of GPT-3 by OpenAI, I’ve seen fantastic AI story generators and writers that significantly simplify the process of creating content.

They produce authentic, faultless texts in various languages that adhere to predetermined tones and styles. This artificial intelligence technology is beneficial in many different contexts and industries.

Creative AI is equally astounding with tools that enable you to create original artwork, automate modifications, or apply styles. Many AI video makers can even turn texts into videos.

And it’s set to get even better with GPT-4 and future advancements in creative AI technologies.

Trend 2: Language Modeling and Conversational AI

Machine learning is used in language modeling to establish the relationships between texts. Language modeling, which uses sizable statistical models, enables computers to comprehend human texts and statements and their composition.

Using voice instructions, conversational AI technology enables improved interaction with customers, users, employees, etc. It uses artificial intelligence (AI) frameworks like machine learning and natural language processing (NLP) to deliver chatbots or voice assistants like Siri, Cortana, and Alexa.

Natural language processing does more than just create writings and sounds that sound like they were written or spoken by humans.

For instance, NLP performs translation, speech recognition, character recognition, analysis, and interpretation. The advantages for people and businesses are not even close to being covered by these.

Conversational AI is frequently used across many businesses, including IT solutions and managed services industry, with chatbots serving as its primary application. The banking, travel, advertising, and health industries are all included in this.

Trend 3: No-Code AI

Zero code? No issue.

No-code AI systems are so popular these days that you may have heard of them or perhaps used one. It is laborious, time-consuming, and typically takes skill to build AI systems from the start. No-code AI has become more and more popular as a result.

These technologies enable people and companies to construct and utilize complex platforms with little technological expertise. No-code AI also removes several obstacles and makes more tech options accessible to beginners.

The ability to drag and drop items is a typical feature of these systems. The end result is time- and money-saving tools with rapid fixes for coding, debugging, and problem-solving.

Trend 4: AI Cybersecurity

90% of American healthcare businesses experienced a cybersecurity breach three years before the publication of the United States Healthcare Cybersecurity Market report of 2020.

As the Deep Instinct analysis states, the utilization of malware and ransomware surged to 435% in 2020. Similar challenges abound in other businesses.

According to the World Economic Forum, cybercrime is a significant danger to economic growth. These are troubling problems and statistics that necessitate prompt correction. And this may explain why there has been a rise in the prevalence of AI cybersecurity trends as more companies look for ways to protect their websites and online data. Since cybercrime is a sophisticated type of crime, conventional methods might not be sufficient. However, autonomous threat identification and pattern detection systems can be implemented using artificial intelligence. AI can identify threats even before they materialize, but more research is still needed.

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