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AI Predictions for 2022 and Beyond


I find myself watching crypto charts more than movies these days. We have all been down the same train of thought regarding artificial intelligence, thanks to sci-fi films peppered throughout the history of Hollywood: Artificial intelligence is too dangerous. However, as time has proven over and over again, humankind is unable to duplicate the same kind of AI that we see in the movies..yet. Any attempt at creating artificial intelligence is garnered towards machine learning and semantic similarity. We're still a long way from sentient A.I, but here's what's going on in the industry and what we can expect moving forward.

The Growing Role Of Artificial Intelligence In Business


Artificial Intelligence (AI) has become the semiconductor equivalent of software -- pervasive, intangible, and capable of transforming the fiber of society and business. It is integrated into a growing number of applications and systems today in a manner that is both seamless and transformational. From Amazon's Alexa to self-driving vehicles, the development of AI has been revolutionary to the point that it seems to mimic human features, intelligence, and behavior. Although experts and scientists have warned against the dangers and hazards associated with highly mature AI machines, the market is expected to expand rapidly. According to Forbes, AI is a strategic priority of 83% of businesses today and is expected to drive global sales from nearly $8 billion in 2016 to more than $47 billion by 2020.

Artificial Intelligence Trends That Will Dominate In 2022


In 2022, businesses will be using artificial intelligence (AI) in more innovative ways than ever before. Some of the most popular ways that AI will be used in businesses include: Chatbots will be used to communicate with customers. AI will be used to analyze data and make decisions. Robotics will be used to automate tasks. AI will be used to create new products and services. Virtual assistants will be used to manage tasks. AI will be used to improve customer service. Predictive analytics will be used to make decisions. It allows users to interact with digital objects using their smartphones. While mixed reality combines real world elements with virtual ones. These vehicles can drive on highways and through city streets without assistance from a driver or any human behind the wheel. They also protect organizations against malicious attacks. By 2030, this number is projected to grow to 3.1 billion. These people generate more than 70 percent of all greenhouse gas emissions and over 80 percent of global water usage.

How will AI transform the online experience? – RetailWire


According to a survey from SLI Systems, 54 percent of mid-size retailers are using or plan to use artificial intelligence (AI) as an online tool in the next 12 months. The most popular applications are expected to be personalized product recommendations, customer service requests and chatbots. The online survey of 234 e-commerce professionals primarily in the U.S., Europe, Australia and New Zealand showed that 56 percent are either using or planning to use AI for personalized product recommendations. That was followed by customer service requests, 41 percent; chatbots, 35 percent; and visual search, 32 percent. VR/AR, voice-activated apps and virtual buying assistants scored lower.In a note from late September, according to Barron's, R.W. Baird's Colin Sebastian indicated that the "overriding theme" at the

How AI Is Driving Marketing Automation


Marketing automation is a rapidly growing industry set to expand by 8.55 percent this year, increasing market capitalization to $5.5 billion by 2019. Given the benefits, it's not surprising that more than half of companies use some form of marketing automation already. As the industry grows in the next year, we can expect to see some particular trends in how marketing automation utilizes artificial intelligence (AI) to better target customers. AI is already widely used in marketing automation, for some very compelling reasons. AI allows marketers to engage new customers who match their existing customer profiles more efficiently.