How AI is fitting right into music streaming app development & transforming it?

Posted on August 12, 2021
Kevin Bell

Technology has fueled the growth of the music industry in ways that one would have not imagined three decades back. From the nostalgic days of cassettes to the times of MPs and CDs and the current digital disruptions through music streaming platforms, we have come a long way. The industry has benefitted from rapid technological advancements in line with any other industry.

The change:

Today most of us are too occupied in life. No one has the time to go through the list of songs, sort out their favorite songs and add them to their playlist. This is where technologies like Artificial Intelligence and machine learning comes into the picture. They give users what exactly they are looking for – access to all favorite songs without them putting too much effort.

Features of Music Streaming App Development and how AI fits in perfectly

Let us understand different features of music streaming app and how AI perfectly fits into the app –

1. Quick access to millions of songs:

You only need a tap on your smartphone to start listening to your favorite music.

AI makes accessing music a cakewalk – Using filtering engines, which scan through thousands of newly uploaded songs to develop playlists and recommendations targeted to each individual, AI eliminates the need for users to browse through thousands of songs to pick out their favorite songs.

If you have selected your favorite genre, AI not only suggests songs from that genre but similar songs from other genres and transforms your music experience.

2. Affordability:

Unlike the time of CDs and cassettes, when to listen to a new song, you had to pay money, the streaming apps are very affordable. In fact, the basic version of these apps is free.

Users do not have to pay per song, but rather paying per month or per year for unlimited songs from unlimited artists.

3. Unlimited storage and personalized playlist:

Earlier, an average person could only afford a song collection of 200-400 songs for two reasons. First, the cost was high, so limited buys, and second, the storage issue. A music stream app allows users to have access to millions of songs without storage issues.

Today users expect technology to suggest them songs. With help of AI, algorithms can be created to suggest songs to you similar to what you have listened to earlier.

The app can examine millions of users, check what others are listening to who have a similar playlist to a user X and then show user X, related music in his feed.

A music streaming app uploads thousands of songs every day, and a user only may be interested in a selected few, AI gives them exactly that.

4. A place for artists:

Improved search engines and customized suggestions can profit new artists who need to contact a more extensive crowd and get their music noticed. New upcoming artists have a ready platform where they are sure to get good exposure.

Conclusion

As per experts, the application of AI in the music streaming industry is still in the early stage (and yet it has done wonders). In the coming years, it will completely transform the industry. At present, AI suggests songs based on your previous choices. In the future, it may read your heart rate and stress level to suggest songs to you.

Robotic Process Automation: Everything You Need To Know

Posted on July 7, 2021
Kevin Bell

Robotic Process Automation (RPA) provides anyone with the ability to automate digital tasks using software technology. With RPA, software users create software robots, also known as “bots”, which can be trained, mimicked, and used to execute rules-based business processes. With RPA automation, digital actions can be observed and used to build bots.

An RPA bot can interact with any system or application and can be considered a Digital Workforce. These bots can perform tasks such as copying/pasting, scraping web data, making calculations, opening and moving files, parsing emails, logging into programs, connecting to APIs, and extracting unstructured data. The fact that bots are designed to function in any interface or workflow means all existing business systems, applications, and processes can be automated without having to change anything.

When combined with AI and machine learning, RPA is capable of capturing more context from the content it is working with using optical character recognition (OCR), extracting entities like names, invoice terms, or addresses using natural language processing (NLP), or adding context to images, like automatically estimating accident damage in insurance claims.

Benefits Of RPA

Due to the large volume of transactions, and the benefits that can be realized within a short period of time, this system is quickly gaining popularity, primarily in the banking and finance sector. Automating can create a significantly larger benefit than improving the manual processing hotspots directly. Scalability is the key to staying, performing, and staying on top of your game with the RPA platform.

As a result, there are the following benefits:

  • Cost-Effective:

The use of robotics can result in a 25-50% reduction in operational costs. Robots can operate around the clock, and take no vacation. Humans work eight hours a day, five days a week, and take a predetermined number of annual vacation days. The business could achieve visible gains from automating some of the manual work done by humans.

  • Accuracy and Quality:

Using RPAs, processes that are likely to contain human error can be made more accurate, thereby increasing efficiency. They are consistent and reliable and don’t complain when they are expected to work tirelessly. In addition, re-works are drastically reduced, while the output quality is dramatically improved. There is no ambiguity in the robots’ actions, which produces 100% accuracy in the results. RPA maximizes the organizational capacity by optimizing capabilities.

  • Increase In Customer Satisfaction:

Customer and client satisfaction is increased when high-quality work is delivered with high accuracy and improved customer/client interactions. This only enhances the business’s goodwill.

  • Consistency:

The fact is that robots are a safe, non-intrusive technology that doesn’t interfere with humans’ natural systems and delivers perfect consistency across the board with each and every activity.

  • Increase in Employee Productivity:

Robotic process automation facilitates human and robot collaborations for the benefit of both. By automating mundane tasks, RPA will free your employees to focus on what they do best: client and customer interaction, relationship management, and other such critical activities which will lead to a better outcome. Better business can only be achieved by having satisfied clients and customers.

Conclusion:

In addition to the revolution in process efficiency and increased productivity, advanced technology is changing business models and the way businesses operate. Several analysts speculate that RPA could even create a parallel economy that is connected to the physical economy concurrently to maximize knowledge work and speeds it up.

AI ML IOT- Revolutionizing Technology

Posted on October 10, 2019
Kevin Bell

Today the world of technology has so much to offer, with machines becoming more and more automated, devices being controlled by a voice command or augmented reality becoming an integral part of business activities we are always getting to experience so many new things. When it comes to technology, we often hear the terms artificial intelligence, machine learning and internet of things.

All these terms to a great extent have brought about and continue to bring about better and advanced changes. Technology is always transforming and through transformation comes revolution. Artificial intelligence machine learning and internet of things have an impact and continue to have a growing impact on technology.

Artificial Intelligence:

Artificial Intelligence is a tool that is developed by humans, to think act and perform like humans. these machines have only the intelligent quotient of humans, lacking the emotional quotient of humans. One of the most popular forms of artificial intelligence is Siri. Businesses are now looking into and expanding the boundaries of artificial intelligence and integrating them not only in their businesses but also in the mobile applications and making it an essential part of our day to day activities.  Artificial intelligence is a software applied to a system.

 Machine learning:

Machine learning is the ability of devices to learn and improve from data entered and previous experiences that it can access to perform a specific task. Machine learning is a system, where the software of artificial intelligence is applied. They are not explicitly programmed but can predict the outcome by falling back on patterns and experiences. Machine learning helps in analyzing the data, predicting future patters and simplifying and breaking down complex set of data. A few industries where machine learning is having a significant impact on include banking industry, medical segment and the financial services segment.

Internet of things:

This is a computing concept where objects are integrated with the internet and have a separate identity and the ability to share data across platforms, without having humans operate them or and computers operate them. Internet of things are independent and do not require computers or humans to specify them to do certain actions. The identifying feature is that they have the aptitude to transfer data over a network.  Internet of things highly relies on connectivity of data and the flow of data between similar environments

Present and Future:

Artificial intelligence, machine learning and internet of things have gained a lot of prominence and popularity due to the various advantages they offer and the value they add to any business that use these technologies. Artificial intelligence and machine learning had a significant impact in improving the quality of services.

Every business and every multinational corporation today have some form of these technologies applied in a segment of their business, be it to analyze data or formulate patterns based on experiences or improving customer interactions, data to day interactions use some form of artificial intelligence.

Developers are also constantly trying to look for more areas where artificial intelligence, machine learning and internet of things can used. Companies involved in developing these software’s offer not only customized services, but also look at further development of artificial intelligence software.

Artificial intelligence and machine learning have opened by a world of opportunities and created a lot of job opportunities. Businesses now look towards artificial intelligence and machine learning to provide solutions for challenges and problems faced during operational and functional activities.

In order to keep with the changing times and transformation that is happening at a rapid pace it is important to keep ahead of competitors in business and innovating cutting edge product and services to reach to the top and create a niche for themselves.

Today the focus is on this technology, as it has improved efficiency changed the way of living. Businesses always think of how to improve productivity, increase efficiency, reduce costs and making sure their return on investment is guaranteed, at the same time reducing risks. Artificial intelligence, machine learning and internet of things to a large extent has helped achieve these goals. Businesses are now banking on these technologies and are investing in these technologies to change their business outlook. Today the changes all around us, be it in developing software like Siri , Alexa or helping to study patterns and predict future based on these patterns are the introduction of augmented and virtual reality are all a result of these technologies.

 Conclusion:

Artificial intelligence, machine learning and iterant of things right from their introduction have managed to create significant impact and they are a continuous work of study. Companies are always looking at different ways to integrate these in various sections and help serve their clients better.

Custom software services are now becoming a up and coming segment, where customized solutions are being developed for clients and businesses as and when need arises. We at Octos Global, are focusing on these technologies and making sure the client is provided with the best services in terms of customized software services they are looking for. Our team of dedicated professionals offer solutions after an in-depth study of the challenges faced by our clients.