Artificial intelligence is changing the world rapidly. Your business can benefit from considering these AI products for the new year.

AI products are no longer straight out of a Hollywood screenplay. We’ve seen an uptick in readily available AI business solutions. Just a few years ago, these technologies would have sounded incredulous. 2016 was a cornerstone year for AI, and expectations continue to mount. This year and into 2018, the trend will continue. More advanced products are expected to be used across industries. Which AI products should you consider for 2018?

Here are our top picks for the coming year that are most likely to make a positive lasting impact.

  1. Customer Service-Related AI Products

    AI products are getting better at detecting emotion. They’re also responding to various moods. This factor alone is paving the way for more customer-facing jobs to be filled by robots. Banks are among the frontrunners to start implementing AI robots into customer experiences. One study from Accenture examined robots in the banking industry. It concluded they were able to reduce time spent on certain tasks by up to 90%.

    AI in customer service currently takes the form of Virtual Assistants and Chatbots. These products are increasing their ability to recognize emotion and respond accordingly. In some cases, consumers may never know if they’re communicating with either a robot or human.

    Today’s AI products aren’t sophisticated enough to fully replace your customer service-related roles. However, they can certainly eliminate some or most of the time spent on lower-value tasks. This might include administrative or information-related responsibilities.

  2. Image Recognition Software for Social Media

    AI isn’t just about robots in the physical sense. AI also includes software and machine learning that simplifies specific tasks. One such example is image recognition software for social media.

    It’s no secret that using images in social media posts drives higher engagement Twitter posts typically received 1.5 times more retweets if they have an image. Facebook posts may see as much as 230% more action if they have an image. The secret lies in discovering which images people are responding to. Image recognition software can help dispel these mysteries.

    The Impact on Creative Development
    This AI-fueled software can process image data much faster than humans. It compares images and looks for objects, scenes, and other characteristics within images. AI-based image recognition software pales in comparison to its potential benefits. For instance, a business may be able to pinpoint specifically where people use a product. A company that makes lemonade could determine where people are enjoying their beverage. At the beach? A picnic? From there, they can use that data to tailor their creativity. Marketing teams may be able to boost their creativity game. They could use this data to craft tailored imagery to connect with niche audiences.
    Discovering Deeper Metrics
    Marketers may be able to look at photos and discover if product placement at events paid off. For example, a business pays for an outdoor advertising spot at a music festival. Marketers could review how many times their brand appeared in photos of the event. This may help them to calculate impressions and ROI of their investment. In exploring new sources for metrics, marketers may be better able to pinpoint ROI. When gauging the number of impressions on an outdoor advertisement, big data was non-existent. AI products could start to fill those gaps.
  3. Marketing Personalization

    Marketing has come a long way in the past few years in terms of personalization. Companies have long been nixing one-size-fits-all email blasts. Instead, they’re tailoring emails based on buying history, browsing preferences, and other criteria. In the next couple years, this laser-focused targeting is about to recalibrate with new advancements in AI. Currently, our personalized marketing comes in waves. This might look like push notifications, emails, and retargeted digital ads. Yet, none of these bits and pieces work together to map out a cohesive customer journey.

    With recent advancements, such as Blueshift‘s move into improving AI, customers can expect a wholly personalized journey at every turn. Machines will look at data like browsing and purchase history. They’ll then use that information to customize other areas of the customer journey. As a result, consumers can expect custom-tailored content at each step of the buying process. These pieces will now function together to reach a single objective.

  4. Natural Language Generation

    Natural Language Generation (NLG) isn’t a new concept. This form of AI produces text from data within a system. What is new, however, is the increasing adoption of NLG as a viable data tool. In today’s data-driven environment, the sheer volume of data requirements and benefits has signaled an increasing need for more data interpretation. That’s precisely what NLG is geared to do. Companies using NLG can mine through larger data sets in less time. This reduces the amount of time spent on data analysis to focus those resources in other areas.

  5. Content Creation

    It’s long been believed that robots lack the emotional and creative aspects to create content that connects to audiences. This may soon change with advancements in AI. AI isn’t currently spitting out blog posts and graphic designs on a large scale. Soon, tools used in predictive analytics and generation analytics may create a way for robots to become involved in content creation. The capability is already here. Associated Press is currently using AI technology to create some of its news content. This trend is likely to continue in 2018 and the coming years. Using AI in content creation is invaluable. It can help with research, targeting, and measuring its outcome. It looks promising that AI can also help with the editing and distribution phases. Doing so can cut production costs and streamline the complete creation process.

In Closing

At a time when many companies are still trying to grasp the basics of digital marketing and technology, AI will most certainly add a new layer of complexity. It’s already beginning to cement its place in business more than most people may realize. It’s up to businesses to understand how and where to integrate these technologies. They also need to discover how these tools will achieve the desired results. Only then will the full effects of emerging AI products become truly revolutionary. Contact us for more information.

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