AI integration in mobile apps: An object of disinclination

Wondering why enterprises hesitate to adopt AI in mobile applications? The below 3 reasons will give you an idea of their reluctance…

The digital scenery is amazed and bustling about the growth and integration of Artificial Intelligence (from here on AI) in businesses. AI has been successfully carving a niche for itself in various aspects of today’s life. AI has the ability to be an answer to various concerns regarding customer services for enterprises. This potential in turn, is also an apprehension for many. The reason behind this uncertainty is the qualms of using a totally automated and data-driven work paradigm.

AI on its part is absolutely efficient, competitive, can be personalized and automated. On the other hand, this very phenomenon is no piece of cake; it involves a lot of technology and deep understanding to make the most of it. This is what makes the integration of AI in mobile apps an object of disinclination. Below are 3 reason which top the concerns of businesses in this regard.

1. Cost Concerns:

The biggest benefit of AI as known is its ability to automate and accomplish dreary tedious task, making life easier for the common-man. But, one of the principal drawbacks of AI in machinery is its cost.

Mobile app development companies  are familiar with the immense effort and high costs that are involved in integrating AI in mobile applications. The process is expensive and needs a rather flexible budge to integrate and make the most of AI in mobile apps. Another concern that comes with considering funds for AI is the fact that it requires numerous updates to gel with latest trends and business requirements.

If a business suffers from a breakdown in its systems, the AI-enabled machines needs to be revived by lengthy procedures that can in turn deplete monitoring assistants and operators. This affects costs and also calls for more resources to take care of the AI machinery.

2. Lack of human-like acumen

AI in all its literal sense, artificial intelligence lacks the human feel, its intelligence and power. AI induced machines and robots are not fully capable of making consistent or steadfast judgements and are not flexible like the human brain. These machineries have certain boundaries and can’t necessarily work in places where human administration stands needed.

AI is programmed to be completely mechanical when it comes to making functional decisions based on current issues. Because of this reason, it is safe to say that in crucial circumstances or emergencies AI might fail to live up to the expectations we have from it.

We as humans can think practically and modify our thoughts if needed. We see and learn different things through everyday experiences, acquiring a perceptive flow of knowledge. This is not the case with AI. They store a varied range of information but are not able to necessarily assess it the way humans do. Machinery integrated with AI are inflexible and rigid (part of their making) making their responses stay the same even the situation/circumstance around changes. This drawback of stiff insights and knowledge, makes it rather unattractive for businesses to include in their systems.

3. Still toddling in marketing sphere

Artificial intelligence brought with it tons of fascinations and lots of enthusiasm compelling businesses to consider integrating it into their work. But, this concept has not yet been fully understood and perhaps trusted by many. There are still many digital brands who prefer flowing the conventional way; they prefer using the mode of user-interaction and ready-made analytics to fetch themselves potential customers. Many businesses fell that using the predictable path is the way to tackle customer requirements.

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