Tag: Artificial Intelligence

Best Startup Choices With Artificial Intelligence

Posted on by Pooja Shah

Whether you have a background in technology or not, you have probably came across the term Artificial Intelligence (AI) somewhere or the other.

An instance of a breakthrough in human history is electricity; AI holds a similar importance today.

Every industry in today’s fast-paced world reaps the benefits of AI in a manner that suits them best.

Currently, some sectors are just starting their AI journey while others have already embraced AI.

If you are fascinated by AI and looking for some ideas to work with Artificial Intelligence, then we will talk about some of the trending areas that are creating an impact in this space.

AI is considered ‘the hottest technology’ in the technology world today. The demand for people who can work with AI or have some AI-driven product is increasing every year.

Startup Choices with Artificial Intelligence

Whether you are looking to work for an AI startup or looking to start something of your own, the below ideas are worth brainstorming:

1. Natural Language Processing

If you are one of those who loves to read a lot, play around with texts and build text-based models, then you should consider natural language processing.

There are a lot of things that you can do, and the most popular choice is to create high-level chatbots.

If you want to build a chatbox, the best approach is to look to start with the industry you want to target, let us say finance.

Once you are clear with that, you can create a specific chatbot for that industry.

Natural Language Processing
There are not many players offering chatbots, so you may find several buyers for your product if you can create a useful and unique chatbox.

The best thing is, you can sell the same product to many companies with minor modifications.

2. Machine Learning

Machine Learning
When AI is discussed, Machine Learning automatically comes into the discussion. If you love working with existing algorithms or like creating new ones, then start building something with machine learning.

You can also explore deep understanding as a subfield. Many people are looking for people with expertise in this area, and if you can deliver quality products, you may continue to get a fair amount of work.

If you have an idea of your own, you can start designing, planning, and deploying machine learning models for your concept and trying to sell it to businesses.

3. Virtual Assistant

Currently, Virtual Assistant interfaces are also in high demand. There are many AI-driven virtual assistants available in the market, but they are not attracting buyers for two reasons – high cost and they do not follow the users’ unique commands.

Most businesses are looking for cheaper AI virtual assistants that can be customized as per their needs. You can start with the basic version of an AI-driven virtual assistant.

As your experience increases, you can add more complex and advanced algorithms to your product.

Widely used instances of virtual assistants include Amazon Alexa, Microsoft’s Cortana, Apple’s Siri, and Google Assistant.

4. IoT and AI

Just like Artificial Intelligence, the Internet of Things (IoT) is another popular technology in today’s digital world. The combination of both is deadly.

There are a lot of high paying projects that companies are offering in this area. If you are wondering how to combine the two to start with, you can start by creating a self-driving interface based on AI and presenting it to car manufacturing companies.

There are a lot of opportunities in robotics as well. Other exciting options are security, face recognition, surveillance, and fingerprint recognition.

5. Medical and AI

Today, all the research work in medicine and science uses AI, but the usage is minimal and not impactful. You can come up with a medical startup that uses AI to bring more accuracy and precision in predicting the results.

Precision is critical in the field of medicine since we are working with our lives. AI has the capacity to give results with very high accuracy.

If you have an innovative idea and your interest is helping people, you should definitely start something in this area.

6. Computer Vision

The term ‘Computer Vision’ is not very popular but very useful and gaining popularity with time. If you are not sure of what it means – projects with computer vision help you interpret and visualize the surrounding objects and images.

Computer Vision

You can work as a computer vision expert and take up object detection and face recognition projects. The other area which may interest you is gesture and emotion detection.

These are just a few examples; this field gives you opportunities to build very innovative projects.

These are just the top few ideas around AI, and there is much more you can explore. It all depends on your interest area and what you want to do at the end of the day.

Luckily, AI lets you try a lot of things. No matter what your interest area is, you will find something to apply your artificial intelligence knowledge.

Few AI-based corporates that have $100+ funding include Nauto, openAI, DataRobot, Vicarious, Zoox, Grammarly, and more amongst others.

How Mobile App Can Bring A Modern Revolution To Competitive Business

Posted on by Mandakinee

Now it is important that all companies have mobile software today.

The mobile application is a growing industry with significant competition: more and more processes from different walks of life are being transferred to smartphones as applications.

The niches in which the applications work is diverse: games, health, office programs or SaaS, eCommerce, etc.

The infographic statistics shows, building mobile applications must be a priority for many organizations, but it is often difficult to choose a better development method because the lines between the various options available are becoming increasingly blurred.

So, before choosing any development method for developing mobile applications, e.g. Web vs. mobile vs Hybrid, we will give the modern and trending integration options mentioned by professionals and the cons for each.

Depending on the project’s business goals and objectives, you can decide which development method you should choose. Also, this infographic will discuss more deeply about the development of mobile applications and their benefits.

Before that, let’s know;

What is the Importance of Developing Mobile Applications?

When developing applications for certain mobile platforms or operating systems, it is known as mobile application development.

They provide optimized performance for customers and have the latest technological advantages such as GPS compared to web applications. There is a special application store for mobile applications where users can access this application.

The leading mobile app stores – App Store and Google Play offer a huge amount of software that solves the tasks of users. However, there is still room for innovation in the market.

How Mobile App Can Bring a Modern Revolution to Competitive Business

Conclusion:

In the last few years, there is an overwhelming increase in popularity in the use of Artificial Intelligence in various fields of business, industries as well as users.

So, it is fair to reveal that AI is the future of mobile app integration and development. App development agency like Andolasoft and many experts are forecasting, this technology will grow rapidly and will offer more benefits to the user.

Want to develop a modern feature-packed mobile application for your business? Let’s discuss!

The Influence of AI and ML in Mobile App Development

Posted on by Abhinav Rai

Until a few years ago, artificial intelligence (AI) was just a name for a unique innovation that could make machines perform tasks that were typically reserved for humans.

Now artificial intelligence has become a buzzword in the market, especially in mobile app development.

As more and more artificial intelligence courses empower professionals to boost their careers, AI and its subset machine learning are transforming every industry for better performance and cost effectiveness.

Further, as the economy leans towards digitization and the consumers spend most of their time on smartphones, enterprises have shifted their focus to making themselves accessible on the digital medium.

As a result, the impact that artificial intelligence and machine learning could have on modern app development has caught the fancy of many innovators.

According to a report by Gartner, smart mobile apps were one of the top strategic trends of 2017, and considering the pace of innovation in the domain, this is just the beginning.

Personalized Recommendations:

Making personalized recommendations to users is one of the most effective and widely sought after application of AI in mobile app development.

As the attention span of users becomes limited, it becomes more important to supply them with relevant content to maintain user engagement.

To continuously engage users, mobile app developers design AI algorithms that can monitor the choices users make and then insert them into a learning algorithm.

As a result, the users are recommended content that they are most likely to engage with.

Such learning algorithms and recommendation systems are also one of the significant sources of revenue generation for mobile entertainment apps like Netflix, and e-commerce applications like Flipkart, Amazon etc.

Mobile App

(Source: artjoker.net)

Any business that runs on making relevant suggestions to users can benefit from this aspect of AI in mobile app development.

For this reason, the ability to integrate AI recommendation systems in mobile applications is one of the sought-after skills in mobile app development.

Automated Reasoning Techniques:

Automated reasoning techniques work on studying massive amounts of historical data and applying the resultant insights in solving the problem at hand.

The automated reasoning techniques make it easier for mobile app developers to optimize their functions by providing the best alternatives to perform a task.

Navigation systems are perhaps the best examples of automated reasoning.

For instance, mobile applications like Google maps and on-demand cab service, Uber, makes use of automated reasoning algorithms to optimize routes in a manner that gets users to their destinations in minimum possible time.

The automated reasoning works from travel data collected from drivers who have previously traveled from the same routes.

Adapting to User Behavior:

AI and machine learning have now evolved to learn user behavior patterns to provide them with a more seamless mobile app experience.

Through natural language processing and machine learning techniques, mobile application developers can integrate virtual assistants in the application architecture.

These virtual assistants observer user behavior, understand their preferences, develop a pattern, and then modify their functionalities in a manner that can be of best use to them.

This technique is also used by banks in their mobile apps to detect fraud in online payments.

A pattern-detecting algorithm embedded in the app design automatically tracks through each customer’s purchases, and can instantly recognize if a purchase has been made that doesn’t fit well with the usual customer behavior.

These pattern recognizing algorithms grant a degree of efficiency to mobile apps and are one of the most demanded skills in an application developer.

Voice Optimization:

The impact of voice optimization on modern mobile app development cannot be stressed enough.

Not only has it proved convenient regarding accessibility and navigability, but it has also promoted a more connected mobile ecosystem.

In 2014, as much as four billion devices were connected to the Internet; Gartner expects this figure to have risen by five times by 2019.

The Internet of Things (IoT) is not just limited to smartphones and computers, but now there are smart TVs, watches, lights, thermostats, and many more.

As homes become smart, consumers prefer all their applications in one device instead of switching from one device to another.

Voice optimization thus provides them with a universal interface for all their devices in one single mobile application.

For instance, Google Home and Amazon Alexa allow their users to manage all the connected devices through a single, voice-optimized mobile application interface.

Opportunities to Creatively Deploy Codes:

Not only are AI and ML providing meaningful add-ons in mobile applications, but they are also transforming the way in which app developers deploy their codes.

Thanks to the flexibility offered by AI, developers can release newer versions of the app more frequently, and with better enhancements.

Now that AI techniques have become accessible and can be employed by just about anyone with the relevant knowledge, application algorithms can be designed and implemented for a variety of tasks.

For instance, scanning a QR (Quick Response) code not only transmits necessary information but based on your preferences; a single scan can return information that the users are most likely to spend time with, thus significantly increasing user engagement.

Increased and prolonged engagement with users is one of the primary objectives behind the development of any application and is the most desired skill in mobile app developers.

When it comes to retaining customers through a mobile app platform, the first few sessions are incredibly crucial.

The integration of AI and machine learning techniques with mobile apps make it possible for users to have a more memorable experience with the application.

As a result, mobile application developers who have a comprehensive understanding of AI and automated learning will be in higher demand for creatively applying machine learning techniques.

Mobile app development is a rapidly evolving market, and through their behavior learning and recommendation algorithms, AI and ML make the app experience more valuable to the users.

We are at Andolasoft continuously updating ourselves with the latest algorithm of AI and ML to provide high user experience while developing a mobile app for our customers.