Look into the AI System of the App Development Industry

Look into the AI System of the App Development Industry

Artificial Intelligence” is a buzzword that recently got more likes on social media, seeks the attention of investors, turns the head of end-customers, and simply acts as a perfect marketing keyword. 

But what actually artificial intelligence is? Does it exist or not? 

The straight answer is, we have AI technology. But not all the products we see are AI. Most of the products are only marketed by using the term “AI”. 

Then, how can you determine a functional AI system for your business? 

Here is a concise explanation regarding AI technologies and when they’ll be effective for your business. 

What is AI and What is Not?

In the current market, multiple products are branded as “AI-powered” or “AI- technology”. But before choosing such a product for your business, you should know what AI is and what it is not. 

If a tech product can perceive, synthesize, and infer information autonomously, then it can be known as AI (Artificial intelligence)

To put it simply, the capacity of technology to do abstraction, logic, understanding, learning, planning, creativity, critical thinking, problem-solving, and others without the intervention of humans, is AI.  

So, What is not AI? 

Technologies that need humans to operate, make decisions, and control the functionalities are not AI. Such technology works on algorithms only. AI can learn from its experience, but non-AI technology couldn’t improvise itself. 

For example, AI drones can fly autonomously by using AI-powered flight controllers and they can capture and recognize essential things automatically. Meanwhile, a drone with sensors and a camera can also fly and identify the essentials manually. But in the market, it’s branded or understood as “AI-powered” in some cases. 

However, AI is not like squeezing water from a stone. In fact, we utilize AI in our day-to-day routine. YouTube has been using AI to recommend videos and increase watch time by 50%. Facebook uses AI algorithms to stop fake news on the platform. Voice recognition bots powered by artificial intelligence (AI) from Apple (Sir), Amazon (Alexa), Microsoft (Cortana), and others are making a huge impact in the market in the current scenario. 

Did you know?

More than 30% of business people believe AI virtual assistants make a positive impact on their businesses. So, many entrepreneurs are showing their interest in availing AI technology for their businesses. 

But, does it work? Let’s check.

How to Build an AI?

In case you are willing to develop a personalized AI system/ algorithm to include with your business application or infrastructure, then you should acquire knowledge on its feasibility and possibility of success. 

Simply, by hiring a top software and IT solution provider, you can avail of an AI system for your business. Usually, such firms do the following steps to develop an Artificial system. 

  • Considering components, possibilities, and tools to utilize is the first step to building AI.
  • Then handling big data, and fixing data sources, methodologies, and logic to develop the AI is the second step.
  • In the third step, experts start to create algorithms. 
  • Training the Algorithms for the system is the fourth step.
  • Finally, opt for the right platform to integrate it. For example, framework, cloud platform, and others. That’s all.

Although the AI development process is simply denoted in five points, it’s not such an easy task to develop an AI in real time. 

In case you believe, only investing your amount in random AI development safeguards your business, then it’s wrong. There are many records of AI failure in this wider world. 

For example, 

The failure of Amazon’s AI recruiting engine impacted the AI industry and provided more considerations while developing AI. And another example is the chatbot “Tay” developed by Microsoft, which is also considered a failure in AI history.

When do AI Technologies Fail?

There are many reasons behind the failure of AI technologies. Failing to meet basic service qualities is also a primary reason for that. Usually, the service quality of technology can be validated with three quality dimensions. 

  1. Environment Quality, 
  2. Outcome Quality, and
  3. Interaction Quality.

Environment Quality

In most cases, as a buyer of AI tech, you may focus on Environment quality as it defines the quality of design and performance. An AI product description, also primarily focuses on these two entities only, by providing a features & benefits list and UI design images.

In case you are a business person who wants to include an AI feature with your mobile application, (for example Voice Assistant for your business mobile app), then you should know the other two quality measures. 

Outcome Quality

It relies on technical reliability and valence. The technical quality of the AI system can be determined by honest reviews that include technical drawbacks and service limitations. Only by knowing the exact limitations, you can decide whether it’s essential or not for your business. It varies with respect to the scope of the AI system. Meanwhile, Valence is the satisfaction of end users. You should choose the AI which engages the end users effectively. 

Interaction Quality

The final quality is Interaction. It’s one of the most important qualities of an AI system. It can be determined with responsiveness, information, and security & privacy. Simply, it reflects the customer’s interaction with the system.  

Responsiveness is nothing but providing a meaningful response for valid inputs. For example, AI-based voice assistants can respond to humans with their language processing, and ML models. 

Alongside this, AI must have the efficiency of providing, analyzing, and processing information and data. Meantime, such collected data must be stored in secured data storage to enhance security and privacy.

Analyzing these qualities when developing AI and availing of AI systems can be helpful to avoid the risk of AI failure. 

Where and How Can You Use AI?

Artificial Intelligence can be used with your existing mobile application or with a new one. In addition to this, you can include AI with your software, hardware mechanism, automation of manufacturing units, and others. 

Despite there being many ways to adopt AI for your business, integrating AI tech with your brand mobile application is the simple and effective way to maximize productivity. 

AI integration with mobile apps can unlock the following features.

  • Facial Recognition,
  • AI Recommendation Algorithms,
  • Human Action Detections,
  • High-end Chatbots,
  • Responsive Voice Assistants, etc.

But, while integrating AI, you should ensure, it doesn’t impact mobile app response time. So, it’s advisable to include AI features with your mobile apps only if it’s necessary. To make clear whether your business app needs AI features or not, consult with an IT consulting company. 

Uplogic Technologies is a top-rated mobile app development and complete IT consulting company that includes eminent mobile app developers, consultants, project managers, designers, and other IT experts.

You can get working ideas and suggestions regarding mobile app development, business automation, IT infrastructure, and others from us. 

Summing Up

“Look Before You Leap”

It’s the takeaway from this blog. That means you must know all about AI and AI integration before investing money in it. That’s why consulting Uplogic Technologies will be the right way to get a clear idea of not only AI but also any other automation processes.

About the author

Steven Smith

I am working as a Senior product developer at Uplogic Technologies Pvt Ltd. Uplogic Technologies is a leading producer of mobile and web app development solutions in the market. We have delivered web and mobile app solutions for numerous clients comes across the world.

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