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Artificial Intelligence (AI) systems are finding their way into customer service, scientific development and more. Many marketers have been waiting for the option to use AI systems to solve problems in their niche. Many professional marketers are wondering when these systems will be ready.

Evaluating AI for a complex need in marketing ultimately comes down to examining the challenges that marketers face today. Not every average marketing agency has the budget aside that they can use to develop AI systems or use deep learning algorithms. The problem with most AI systems is that they commonly take a lot of computing power and development before they can get off the ground and produce reliable results.

What is surprising about AI systems is that many developers are stepping forward in creating a cloud-based infrastructure which is designed to solve scalable problems for businesses. Some of the problems that these future AI systems are looking into are perpetual issues within marketing such as:

Obtaining Customer Data: Forming a full picture of a customer with demographic data means performing extensive lead research. Customer data is plentiful today with customer service data, email data, social media and more. Analyzing all of this data from a multichannel perspective is especially easy with AI technology.

Understanding Search Engine Data: Making recommendations for search engine optimization also means having a discovery made on what customers will predictably search for in a niche. Making more accurate suggestions involves simulation of the interaction and learning how a search engine interprets those results. AI could perform these simulations and help sites achieve better value in search engine rankings.

Speculation: Long-term speculation and forecasting are required for managing customer data and understanding the life cycle for current marketing campaigns. Having ongoing forecasts based off of many inputs in marketing could make sure that a campaign is reassessed the second in a downturn happens to prevent inefficiency. This could help to improve marketing budgets and forecast behavior in the market that could be beneficial for setting product launches and more. AI can examine a wide range of data sets and speculate with a degree of accuracy that far higher.

Improving Voice Search: With the popularity of smart home devices there are many marketers are scrambling to catch up to the search engine data and shopping experiences that are now done over Amazon’s Alexa, Google Home and more. Marketing professionals are working to focus on voice, but there’s simply so much data on conversational cues, tonality, user habits and more that can make the process of improving voice search a timely process. AI could produce expedited results in this realm.

Addressing Privacy Concerns: AI could be one of the greatest solutions to privacy concerns in a post GDPR world. Customers are squeamish at the idea of professional marketers getting a hold of their data. An anonymous AI, however, faces fewer concerns for data protection and analysis. The use of AI could soon become the norm for exploring data for many marketing companies as a result of the precautions associated with GDPR.

AI and marketing are becoming a much more user-friendly experience and the AI systems that are being developed today could change the way we look at marketing into the very near future.