Artificial intelligence is a hot new trend in the past few years now. It continues to be a relevant as well as interesting technology revolution that has impacted how a software development company develops software solutions.
One of the goals of the industrial revolution was to have machines that would simulate physical tasks in order to create more efficient outputs. The purpose of AI or artificial intelligence is to simulate any mental task. Arguably, machine learning is one of the most vital subsets of artificial intelligence since it impacts all other fields within AI. In any industry and software companies it is important to have a model or pattern. This represents the learning process of machine learning. The introduction of AI into industries such as online dating, online publications, video-sharing, sports and music is becoming important to every organization’s competitive sustainability.
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AI In The Music Industry
TatvaSoft – software development companies could cater to AI requirements of many industries, particularly in the field of music. The AI technology is expected to be more than $70 billion by the year 2020 and without doubt would influence people’s lifestyles and how they consume data. Simply put, artificial intelligence is a computer science field, which enables computers to do things that humans will consider as ‘intelligent’. However, what does this mean to the music industry?
Companies like Shazam have been using artificial intelligence. The company holds a comprehensive catalogue of songs with detailed ‘spectrograms’, which contain different frequencies a song emits. When a user tags a song, the app would take the signal and cross reference it with their database and return a match. AI is used in this scenario to take data that by itself would be useless, offer context and match it with their database to create something useful for a user.
Technologies Impacting The Creation Of Music
Today is an era where the possibility of technologies such as AI impacts the creation of music worldwide. AI has been changing the industry, from the way songs are made to what tracks that consumers listen to. British songwriter and producer Alex Da Kid used the Watson Beat of IBM, a cognitive technology that understands music and allows artists change the sound of a song based on the mood that they want to express in order to produce the single ‘Not Easy’ that debuted at number 6 on the Billboard Rock Digital Song Sales charts. Researchers at Sony also shared the first pop song composed by artificial intelligence, ‘Daddy’s Car’, a Beatles-inspired. In the streaming world, platforms such as Spotify use AI to recommend to users the music that they may like, based on their listening habits.
AI and bots currently are the two technological buzzwords in the industry. Attempts of modeling music cognition with AI usually are approached as a way of boosting the knowledge of human intellect and psychology. Once an effective model of the listener has been achieved, the model could be integrated as part of a more complex model of an active musician, one who is listener, a performer, a composer and an improviser all at the same time. The more complex model could presumably then tell more about musicians’ behavior, and maybe even function in a musical society.
AI To Bring Better Analytics And Predictive Technology
The music industry now hopes that the use of AI would bring better analytics as well as predictive technology. A listener’s mood, location and even the weather conditions now are being built into several recommendation engines. For instance, Google Play works on such adaptive functions. A bot would be able to recognize guilty pleasures, with the use of algorithms to understand the way that people listen to music. When combined with the kind of intelligence that is provided by a smart phone, such as time, location, movement and activity, it means that music services could find the right track for the right moment. Artificial intelligence, in effect could determine if a person is bored in an airport, sunning on the beach, studying in a library to tailor a playlist.
The role of AI in the music industry is expanding into the business as well. Record labels have started using chat bots, which are computer programs that interact with consumers to promote new albums and tours. Furthermore, there is also an opportunity to use artificial intelligence to find new artists. A British label, Instrumental scrapes YouTube for people to upload their songs and sifts through data on hundreds of thousands of unknown artists to define which have begun to draw attention. The label, backed by Warner Music singed three of the most promising development deals.
With the sheer streaming data volume growing year after year, the ability of enhancing and fine-tuning marketing capabilities in the industry is endless. It comes down to data access needed and the software capabilities to process and act upon the information intelligently. Moving towards 2030, success as a label comes down to the ability of a company to pair its human capital with intelligent software.
Guest Author: Dhrumit Shukla has been working as Business Development Manager in a software development company TatvaSoft since 5 years. He is profoundly skilled and well experienced in providing software development services on various technologies ranging from Microsoft .NET to JAVA, Salesforce, BizTalk, SharePoint, PHP, Open Source, iOS, Android, Pentaho and the list goes on.