Artificial intelligence has become a buzzword, streamlining and optimizing all business processes and stimulating human intelligence through advanced machines and computer systems. Artificial intelligence is often used with machine learning, natural language processing, and robotic process automation. Today, this next-generation technology caters to diverse industries, such as healthcare, manufacturing, education, finance, transportation, security, and many more. AI has nullified human errors and repetitive tasks, allowing businesses to reduce costs and save time.
GoodFirms Roundtable is a series of podcast discussions where our experts interact with top industry leaders and successful business entrepreneurs, urging them to share their valuable insights and views on various topics. It becomes a critical learning lesson for young aspirants planning to launch their startups.
In this podcast discussion, we had the opportunity to interact with Vadim Peskov, the CEO & Co-Founder of Diffco.
Diffco is a leading IT Services Company based in California, USA, providing the best-in-class mobile app development and premier artificial intelligence services since 2008. In addition to these, the company specializes in computer vision development, DevOPS, frontend, and backend development. You can even hire their services for full project development.
The Podcast Discussion Highlights the Following Points
- How Artificial Intelligence Works?
- Key Differences Between Artificial Intelligence and Machine Learning
- Major Challenges of Developing an AI-Powered Application
- Main Cost Drivers of Developing AI-based Mobile Applications
Through this Podcast Discussion, you will also come to know
- Benefits of AI as a Service
- Privacy & Security Risk Factors Associated with AI Mobile App Integration
- How AI will Transform Different Tasks?
- How GoodFirms is Helping Diffco to Accomplish its Goals?
We'll discuss a lot about artificial intelligence and mobile app development, but first, I'd like to clarify my understanding of how AI works. What exactly happens behind the scenes?
Well, this is a very broad subject, and it can take hours to dive deep into the topic. But if I have to answer his question briefly, I can say that we provide machines with multiple processes and data to get the desired results. The machine tries to learn processes using this data. Once we give the machine the real task, it can compare large sets of data to the initial examples and come up with the answer. However, I also feel that many AI techniques do not require training from examples to find an outcome.
The terms artificial intelligence and machine learning are frequently used interchangeably since they have become fundamental to many industries. Please elaborate so we can understand their differences and how to distinguish them.
Artificial Intelligence is a much broader concept and extensive term, while Machine Learning or Deep Learning are considered its subfields. These technologies are used to solve actual problems. Machine learning mainly enables computer systems to perform tasks without explicit programming. On the other hand, artificial intelligence is a science that focuses on developing machines that can think and act like humans.
What are the biggest challenges that AI brings in the app development process?
I can highlight the critical challenges that AI brings while you are in an app development process.
- First and foremost, you need to decide whether you want to process artificial intelligence on the edge device or mobile device or if you wish to process it on the cloud. When it comes to the difference between the two, processing on the cloud allows you to run any complex models with ease, but it will cost you more. If you choose mobile device processing, the power gets limited.
- Another key challenge is to gather and process large amounts of structured and standardized high-quality data for AI to learn from.
- Above all, predicting an accurate result after data processing is challenging. I have seen complicated cases like GPT, where Ai becomes a BlackBox without a clearly known algorithm, making it challenging to find a precise result. We must consider a time frame to expand AI testing and give AI more time for learning.
The use of artificial intelligence is growing with time, and AI as a Service is set to become the next big thing in technology. Why It’s Time for AI as a Service and What Benefits it Brings?
If I have to put this in simple words, I can say that you can look to implement some ready-to-use tool that does not require any development or deployment, for example, AI-powered AWS, Azure, or GCP. You only need to integrate it inside your product. And if you are not implementing or using a custom AI product, you can save these resources, such as both time and money.
Let me give you an example. AI-powered Amazon Web Services is a readymade tool that allows you to create your own models and save vital resources. Also, you can gather your own dataset.
When estimating the cost of developing an AI app, there are several factors to take into account. like the level of complexity, What are the main cost drivers for developing AI mobile apps outside app complexity?
- If you are estimating the cost of a Minimum Viable Product (MVP), it depends on the complexity of the task that artificial intelligence will process.
- Another vital factor that determines the cost is ready-to-use solutions and data sets. In case you are creating a custom mobile application development, you must consider estimating budgets for gathering critical resources.
- Other than the cost, you must have sufficient data to learn from and a time frame for expandence.
Artificial intelligence will continue to act as a technological innovator for the foreseeable future. Can you share a few details on some exciting new AI projects you are working on and what impact they will it bring the respective users?
If I talk about our current project, we are presently developing an application that will utilize AI potentials to detect anti-fraud in a much more advanced and accurate way. It has more complex approaches to fraud identification. This application will help to detect fraud and risks involved in fake biometric identification.
Artificial intelligence will continue to act as a technological innovator for the foreseeable future. Can you share a few details on some exciting new AI projects you are working on and what impact will they bring to the respective users?
If I talk about our current project, we are presently developing an application that will utilize AI potentials to detect anti-fraud in a much more advanced and accurate way. It has more complex approaches to fraud identification. This application will help to detect fraud and risks involved in fake biometric identification.
What are some privacy & Security risks associated with AI integrations in mobile apps for users?
Privacy has always been one of the most critical concerns for businesses using AI-enabled applications. Even if you visit a particular website, AI analyzes your behavior to process whether you are a real user or a bot. I believe that this gathered information does contain an element of privacy risk, but the fact is, in most cases, you have already provided this data through the daily use of other applications.
Also, we must realize that not all countries in the world have made or enacted AI-related laws and regulations. As far as I know, only 60 countries have adopted the Artificial Intelligence policy till a few years back. But yes, I hope that this number will certainly increase in the future.
As we prepare for the future of AI, there are numerous discussions online on HOW AI WILL CHANGE WORK, and many people worry that automation will cause labor markets to become unstable. Would you mind sharing your views and opinions on this subject?
Let me start by citing the example of phone operators. People may say that they have disappeared from the scene, but I believe that they have become more smart professionals with the advancement of technology. One of the biggest advantages of artificial intelligence is that it helps to automate manual tasks and improves the efficiency of the workers.
Yes, there is a concern regarding human labor getting replaced by machines since the evolution of computerization. But we must always perceive the positive and brighter side. If most of the tasks are carried out by machines today, it has given an equal number of opportunities for more advanced jobs to be done by people.
Finally, I'd like to know how Goodfirms has aided Diffco in its mission to become the industry leader in Mobile App Development?
I believe that both GoodFirms and Diffco share a long history of exceptional understanding of each other. We have been organically listed among top companies in various categories. Also, this is not our first interview with GoodFirms. We really enjoy our partnership! GoodFirms helps us reach our goals and aids in building a strong relationship with our potential and loyal customers. The leading Software Listing Company helps us to strengthen our brand image and boost user acquisition stats.
If you want to listen to this podcast, please click here.
What’s Next?
Transformative technologies like artificial intelligence, machine learning, the internet of things, augmented reality, virtual reality, etc., have already transcended and innovated various business spheres and automated different mundane tasks. Undoubtedly all these futuristic technologies will escalate and upscale to newer heights in the coming years. Top electronic gadgets and smartphone manufacturers like Google, Apple, Samsung, Microsoft, etc., have already started manufacturing intelligent devices powered by AI. We will continue to see massive advancement of this technology in the days to come.
About Leaders Roundtable
Leaders Roundtable is an initiative by GoodFirms in which we bring the core burning challenges faced by young entrepreneurs. This is achieved through a sequence of podcast discussions where experienced industry leaders share their expertise on various topics.
If you are interested in enrolling for the next podcast discussion and sharing your views on any topic, write an email to [email protected].
