Implementation has shown that AI is extremely good at its ability to create consistent customer service, higher sales rates and reduce other costs within marketing and sales, thus creating more revenue. With a focus on this year’s innovations, this article will discuss growing AI strategy and ethical concerns. Currently, it has been predicted that AI will continue to develop in prominent sectors, such as sales, online streaming, administrative management, robotics and manufacturing. There will also be a spread to more ‘human-like’ roles, such as speech recognition, content creation, decision management peer-to peer networks, AI-optimized hardware and emotional recognition [1].
The main concern of this integration of AI into ‘human-like’ roles as it deems it will accelerate previous concerns about AI replacing ‘jobs exclusively designed for humans’, even though AI may become more interactive and progressive. As business will have the option of implementing these designs, one suggestion has been to use a people-first approach to adopting such systems, meaning that it is important to look at human capabilities first before AI abilities, thus creating a stronger balance between the two [2]. This way, humans are able to interact positively with AI, understand its benefits and use it to the best of its ability. Examples of this in the past year have been the implementation of AI systems in airports for check-in, as well as having a nearby customer-related service. This has also been successful, as a result AI can still benefit customer experience, higher sales and reduced marketing and sales costs. An example of this is in automotive marketing and sales, where AI has created clearer budgets, provided ‘after-sales’ help and lead-management automation [3]. In a 2019 context, it is clear that AI will still dominate in the background of many domestic business’, with upgrades into more face-to-face recognition systems and previous functions. Similarly, the threat of ‘hackers’ of AI systems has been a major concern and is reason enough for outlawing the identification of anonymous data (private or governmental) to improve the privacy of business and whole systems. One suggestion has been the use of ‘cryptography’ and/or the identification of prominent online hackers, both of which are effective methods of keeping data safe and untampered with. Another reasonable conclusion for 2019 is that AI will continue not to dominate all sectors (such as health-care and insurance), where human interaction is central, as AI systems and results are not always straight-forward and may require negotiation. 

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