artificial intelligence – Coruscate Solutions

Artificial intelligence, Machine learning, and Deep learning apps: how these methods are bringing a revolution in mobile app development?

Ankit Virani — Thu, 04 Apr 2019 13:13:15 +0000

The three methods, artificial intelligence, machine learning, and deep learning are nestled within each other, beginning with the largest superset and then working the subsets. Deep learning is a subset of machine learning and machine learning is the subset of artificial intelligence. Artificial intelligence can be called as the superset covering both machine learning and deep learning methods. In other words, AI is both machine learning and deep learning but they do not cover the whole AI.

While describing AI, John McCarthy who is called one of the godfathers of AI said that it is the science and engineering of making intelligent machines. Artificial Intelligence is nothing but a branch of computer science which deals with the simulation of intelligent behaviours in computers. It makes a machine capable enough to imitate human behaviour. The machine powered by AI is able to perform tasks which require human intelligence such as visual perception, speech recognition, decision-making and translation of languages.

Know how AI, Mobile Learning & Deep learning methods are bringing a revolution in mobile app development?

Machine Learning :

Machine learning is nothing but a field of study that gives computers the ability to learn without being exactly programmed. The machine learning programs are not entered into a computer like the coding statements. They adjust themselves to the data that is exposed to them. It is just like how a child knowing nothing slowly adapts to the world.

Arthur Samuel, a pioneer of machine learning started with teaching the computer to play checkers. He wanted it to master the game and in 1962, the computer program was able to beat the champion of the state of Connecticut.

The learning is nothing but the ML algorithms which attempt to optimize along a particular dimension. They try to minimize errors or maximize the likelihood of the predictions being true. It is called an error function, a loss function or an objective function because of the algorithm being written with a certain objective.

The next question that comes to mind is how does it minimize error? One way to achieve this is by building a framework that multiplies the inputs in order to make guesses as to input’s nature. A similar concept is applied in the neural networks. They measure and modify the parameters until the error obtained can’t be lesser. These are called optimization algorithms.

Examples of machine learning apps: Snapchat filters, Netflix, Tinder, Oval Money, Leaf Snap, Dango, etc.

Deep Learning:

Usually, when people refer to deep learning, they refer to deep artificial neural networks. As discussed, deep learning is a subset of machine learning. Deep artificial neural networks are a set of algorithms that provide accurate results for problems such as image recognition, sound recognition, recommender systems, etc.

Deep learning network has multiple hidden layers which allow deep neural networks to learn features of the data in a so-called feature hierarchy. Computational intensity is one of the characteristics of deep learning. It is also a reason for the GPUs to be in demand to train deep-learning models.

Examples of deep learning app: Voice assistants and voice search, healthcare apps for diagnosis, Image recognition, automatic colourization, etc.

Artificial Intelligence:

The advancements made by researchers at DeepMind, Google Brain, OpenAI and other universities is gaining pace. There is no doubt about the capability of AI in solving harder problems and better than humans. Most predictions related to AI become out of date with the speed of its change.

The mainstream mobile app development is being reshaped by the new innovative and inventive technological advancements. This revolution comes in an even more fast-paced and user-centric direction. The coming years surely hold extremely promising trends for the apps and machines powered by artificial intelligence and machine learning. The hints of this trend can be seen in the form of chatbots and augmented and virtual reality. But the overall progress and trends depict artificial intelligence (AI) as the center of the revolution. There has been a huge customer demand for the prompt, real-time access to content which has further fueled the growth in the use of this technology.

According to a report in Statista, the global market value of AI is expected to exceed over 89 billion US dollars by the end of the year 2025. The chatbots, voice over speech recognition, augmented reality are precisely tailored advancements for artificial intelligence apps and machine learning apps.

The list of AI-based innovative recommendations that businesses can incorporate into their apps during the artificial intelligence app development and stay ahead of the competition:

Face detection:

The face detection technology enables the apps to detect faces with 98% accuracy. It is most useful for the security purpose and can be used by the companies for their security-based tracking apps to verify the user’s face in order to protect confidential data, detect license plates and even unlock the phones. According to the latest updates, the face detection feature can also be used to pay for the credit cards without having to swipe the cards.

AI chatbots:

The chatbots are recognized as a growing trend among various industries and businesses. They have become the most prevalent choice of brands to offer exceptional conversational experience to each and every client maintaining the same quality. A survey showed that more than 94% of smartphone users were satisfied with the information that the chatbot provided them. It is expected that the bots will help each type of business in a positive way. Here is a graph showing the increased size of the chatbot market in the year 2025:

Image and Voice Recognition:

Artificial Intelligence and machine learning apps have made it possible for users to search not just via text but also images and voice. Most businesses are trying to integrate voice recognition in their ai assistant apps. Integrating app localization and image recognition has taken user experience to the next level thus increasing the conversion rate.

Land Mark detection:

Using AI, you are able to detect the particular points in an image. It can read the various radiology pictures and is able to find the natural and the artificial structures within an image. Image recognition can be very useful in identifying a photo as a landmark against its geolocation data. Using Ai apps researchers are able to put more focus on instance- level and fine-grained recognition issues rather than playing around general entities.

At Coruscate, we have a team of expert developers who have a sound knowledge of artificial intelligence and machine learning. We have developed over 200 apps based on this technology and delivered successful results. Our chatbots and authentication systems delivered to clients are doing great and have helped the clients to grow their business. You can read about these apps in our case studies and blogs.

If you are looking for a mobile app development company who can help you in developing an artificial intelligence based app, connect with us for a free consultation and we like our other clients, you too can benefit with our innovative technology.

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Top AI Design Considerations That Will Help You Launch An AI Based iOS App For Business

Vishal Virani — Tue, 10 Jul 2018 03:00:48 +0000

Artificial Intelligence is changing the way we consume information and use the insights that we gather from every communication channel, whether verbal or non-verbal. It is time iOS app developers consider AI when designing the app interfaces and the user experiences for the platform. AI cannot be negated when you want to offer real-time, and engaging experiences to your user, and it is impossible to design without involving this aspect.

Here is another reason to not ignore AI in your design when opting for iOS mobile app development for your business.

By 2019, artificial intelligence platform services will cannibalize revenues for 30% of market-leading companies.

A lot of industries are using AI to improve their analysis and offer better and personalized products to the users. Planck Re, a fintech platform, uses AI towards improving their risk assessment and offering effective solutions. They study the readily available data on the Internet to build solid profiles for the SMBs that seek insurance coverage.

They realize which companies are in direct need of the insurance products, and what type of solutions will lower the risk for these companies. This company was founded in 2016 and received funding in this month itself. The company has simplified its design in order to improve the user experience.

When you are planning for AI-based platforms, you will need to make your design progressive and in line with the user needs.

Here are a few pointers that should help you with the design of an AI-based iOS app for your business.

Defining The Target Audience:

Oh, nothing beats this starting step! You ought to know who you are designing for; else you won’t be able to give an appropriate platform for the target. The AI apps tend to serve more than one type of persona, which is why you will need to build it accordingly. In case of Planck Re, the data science abilities of the platform are important for the insurers, which will help them understand if the business needs the particular solution or not.

Secondly, the developers need data that can be incorporated into the app to make it seamless and insightful. As a designer, your app should have provisions for both kinds of usage and should allow the end users to readily call for the data that would be useful to them. Image recognition abilities and other machine learning capabilities should be incorporated into the platform during mobile app development for ease of use.

Make The Design Contextual:

It is important that you design artificial intelligence apps that is more contextual. Instead of getting the robots to perform the tasks, and take over human brains, incorporate AI in a way that the human functions are still important. You will need to add context to make the design smart and personalized. Allow humans to interact with the machines but, make sure the interaction is smarter and way easier than it was before. The answers should be more aligned with the questions being asked.

For instance, there is data and then there is AI; now, all you need is the questions or interactions made by the insurers, and then the AI combined with data will reveal the right answers.

Go For Discreet Designs:

How do you unlock your phones in the current times? The face recognition feature tops this answer. It is a discreet design, not added to your interface, yet allowing you to ensure quick and easy access to the application or even to your phone.

When you are designing AI apps for the iOS devices, make sure you integrate such discreet features into the apps. They will help enhance the experience and improve the quality of the app interaction.

These design integrations will not distract the actual experience and will help improve the interactions.

Should Be Scalable and Flexible:

The platform will grow, and with it the number of people in the target audience. If you are designing an AI app, make sure you keep room for scaling the app further. The idea is to allow space for increase in the number of features or addition of functionality to the app. The idea is to evolve the design and keep updating it in line with the more recent demands and the evolving nature of technology.

Ability to Predict Human Behaviour

Your AI app should integrate machine learning to enhance its capabilities. The apps should be able to comprehend the human behavior and tactfully deal with the needs expressed.

The Google Duplex, recently released in the I/O 2018, works on this aspect. According to the change in the conversation, the Google Duplex will start asking questions or give out the data. Your app will be able to modify as per the requirement and there would be an increase in the engagement as a result.

Platform Should Be Responsive

You need to create a platform that is more responsive and agile in nature. The speed with which it responds will help the users stay on the platform for a long while, and increase your conversions.

When you have an app that works in real-time, the responsiveness will help you deliver the results within nanoseconds, thus helping the key management take informed decisions.

Summing up

It is important that you incorporate all the mentioned design considerations when developing an AI based iOS app for your business. A contextual and well-defined AI app will help improve the profitability of your business.

Coruscate offers professional iOS app development services, thus converting your ideas into workable solutions that are successfully delivered to the app store. If you are convinced with an idea, then connect with us to explore design and development possibilities.

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10 Tech Trends 2018 That Will Be Game Changers For The Businesses

Vishal Virani — Mon, 11 Jun 2018 09:10:53 +0000

The world is growing smarter and intelligent by the day, and technology is definitely helping us with that. The year 2017 definitely belonged to technology, with most of them reinventing to redefine how we worked, and how we incorporated the technology.

If 2017 made a huge impact in technology, 2018 is just going to take the baton further. You will see an exponential change in how technology moves further and scales businesses. They are all set to transform industries and make the world smarter and better.

From an enhanced human-machine interaction to a well-connected device culture, the technology is going to spice up every aspect that is connected to us.

Let’s get started with technology game changers that will definitely rocket the next half of our journey along this year.

AI will be an important part of a business strategy:

Artificial Intelligence is redefining a major part of the technology structure and business strategies. Currently, most businesses are adopting AI strategy within their businesses. It will still take some time for AI to become the core strategy for the business but, that day isn’t far off. Large enterprises are all set to inculcate AI into the strategic processes and organizational development. You will have algorithm based marketplaces, operations and even other aspects within the business.With AI and machine learning becoming an active part of the organizations, data-driven algorithms will become a standard. A lot of years have been spent working on the prototype of this kind of algorithm; it is time to make it live. You would have AI in every industry, from banking to finance to healthcare and manufacturing. With the need for automation, remote assistance and virtual existence increasing, this technology is bound to stay for a long time.
Blockchain comes with opportunities:

The Bitcoin bubble has definitely led to a lot of talks about Blockchain. Even those who don’t follow technology have heard the term being loosely thrown around. If 2017 was any indication of how good this technology is, 2018 will actually take it further. Till now, you had Blockchain use cases mostly thrown around Cryptocurrency. That is going to change. The new trends indicate Blockchain being used in various industries, creating newer and better opportunities for the businesses. With the need for security increases, Blockchain is the most needed and highly recommended technology. With Blockchain as your core technology, it will become impossible for you to manipulate the digital transactions, which simply means your data is safe and unchanged. Even the minutest manipulation is recorded in the Blockchain ledgers. Imagine, what businesses incorporating this technology can offer in terms of security. Copyright infringement and IP protection are two areas where Blockchain will work efficiently.
Increase Intelligence with IoT:

Smarter interaction with people and the connected ecosystem is a must for today’s time and age. You need to control the behavior of the automated devices that tend to work in an uncontrolled fashion, without human interference. The idea is to make the machine intelligent, and improve their operations. The onus fell on the Internet of Things, which managed to create a connected ecosystem of the various devices to utilize the Internet and maximize its potential. It has only just been a few years since the inception of this technology but, the adoption rate suggests otherwise. With more organizations and enterprises turning towards the technology, there is a whole new level of opportunities and ideas available to work with. From smart homes to smart cities to smart environment, the IoT will make it all happen.
Improved data collection with deep learning:

Data collection is a major part of how enterprises gather insights, and it plays a major role in increasing the efficiency of the organizations. Data leads to organization’s success. There are complications in the computations and the algorithms, which leads to complexities with data collection. Most hardware innovations are focused on improving the deep learning abilities of the machine and making it perform better. GPUs with more cores and improved architecture is a fine example of the same. Understanding both the abilities of the data and the successes associated with deep learning, a lot of organizations are adopting data-driven methods to perform better and improve operations. A lot of data collection methods are being organized from CRM, to ticket systems to BMP, which will advance the level of data available in the organization. Existing systems and the pool of data available will integrate for better performance. You will see more data opportunities in terms of gathering, analysis and insight building.
Move beyond platform-only business models:

For a very long time, we lived in the platform-only business model. How does this work? You get the people or organizations to make exchanges over the platform. However, today’s technology demands a move beyond the platform. You cannot be stuck with a platform idea to build your business and give your business the required tech scalability. You need assets, and they can be acquired through mergers and acquisitions. Uber and AirBnb have made the move beyond platform-only business models possible and a reality.
Making privacy a core business strategy:

Privacy and security are the two pillars of the business that keep it going. With newer technologies coming in, the need for strengthening the two pillars has become important. For instance, you don’t want the IoT where connected devices play an important part to struggle with managing the data security and keeping your assets private. If there are cracks within the technology or the assets involved in the technology, you might as well say goodbye to success.In 2018, viable approaches will be introduced for better security and increased privacy. Machine learning will help enhance security via predictive approach. Blockchain technology will also be a key in implementing privacy and security through your business, at various levels. You will need to evaluate risks and establish better mitigation strategies throughout.

Conclusion:

The war for ethical hacking and ethical tech usage will continue even through 2018, as not every aspect of technology is favorable for your business. Tech trends 2018 will actually move the technology forward and build new use cases and applications for each technology individually. VR and AR will be prominent parts of the technology, as immersive experiences is gradually becoming a need.

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