Edna  Bernhard

Edna Bernhard

1596555000

How AI Is Shaping the Future of the Music Industry

Artificial Intelligence is a subject that sparks the imagination — and splits opinion. Proponents point to the problem-solving potential of machine learning, and AI’s ability to make many laborious and time-consuming tasks a thing of the past. Others worry about the effect it may have on everything from the labour market to the existential survival of the human race. One thing everyone can agree on is that whether good or bad, the effects of AI will be wide, deep and probably irreversible.

The music industry has been subject to the same debate for some time. Some see AI as an exciting new tool that will make business simpler and more secure, as well as opening up hitherto unimagined creative possibilities. Others fear it could kill the careers of musicians, composers, and many of the small businesses that make up the ecosystem of the music industry. Again, where this venn diagram of opinion meets is that change is inevitable.

In this report we have looked at where that change is likely to manifest (or is already having an impact), in order to try and plot a pathway through territory that remains largely uncharted. In doing so we will bear in mind what Drew Silverstein, CEO of Amper Music, told Music Ally last year, “If I were a larger business focused on content creation — musical or non-musical — I would have at the top of my priority list ‘How do we engage with AI music?’ You can partner, build, buy or do nothing. But the worst thing you can do is to do nothing.”

Music composition

The effect of AI on the creation of music is probably the most frequently misunderstood topic that we’ll be looking at. The biggest sceptics of machine-generated music paint a bleak picture of songs created to order by robots, devoid of human input or emotion. However, the current landscape is very different.

#machine-learning #artificial-intelligence #music #music-business #future

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How AI Is Shaping the Future of the Music Industry
Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Edna  Bernhard

Edna Bernhard

1596555000

How AI Is Shaping the Future of the Music Industry

Artificial Intelligence is a subject that sparks the imagination — and splits opinion. Proponents point to the problem-solving potential of machine learning, and AI’s ability to make many laborious and time-consuming tasks a thing of the past. Others worry about the effect it may have on everything from the labour market to the existential survival of the human race. One thing everyone can agree on is that whether good or bad, the effects of AI will be wide, deep and probably irreversible.

The music industry has been subject to the same debate for some time. Some see AI as an exciting new tool that will make business simpler and more secure, as well as opening up hitherto unimagined creative possibilities. Others fear it could kill the careers of musicians, composers, and many of the small businesses that make up the ecosystem of the music industry. Again, where this venn diagram of opinion meets is that change is inevitable.

In this report we have looked at where that change is likely to manifest (or is already having an impact), in order to try and plot a pathway through territory that remains largely uncharted. In doing so we will bear in mind what Drew Silverstein, CEO of Amper Music, told Music Ally last year, “If I were a larger business focused on content creation — musical or non-musical — I would have at the top of my priority list ‘How do we engage with AI music?’ You can partner, build, buy or do nothing. But the worst thing you can do is to do nothing.”

Music composition

The effect of AI on the creation of music is probably the most frequently misunderstood topic that we’ll be looking at. The biggest sceptics of machine-generated music paint a bleak picture of songs created to order by robots, devoid of human input or emotion. However, the current landscape is very different.

#machine-learning #artificial-intelligence #music #music-business #future

Future of Artificial Intelligence: The Fourth Industrial Revolution

Artificial intelligence is among the top technologies of the 21st century’s prominent technology stack. Artificial intelligence and its subsets deep learning and machine learning have brought a wide range of use cases into the light. Gartner a global research firm has claimed in its reports that Artificial Intelligence, Automation and robotics will take down 1.8 million jobs and create 2.3 million new ones. The perception that we have is that Artificial Intelligence can take away any job but that’s not the case, AI will eliminate the manual laboured jobs from all the industries.

Future of Artificial Intelligence

The elimination of jobs due to Artificial Intelligence is already happening in the IT industry for Testing, Data Centre Management and much more. So, let’s get started to shed some light upon those scenarios.

#artificial-intelligence #future-of-ai #ai #industrial-revolution #future-technology

How Is AI Being Used In The Steel & Manufacturing Industry

Unlike other industries such as retail, eCommerce or pharma, the role of AI and data science in the manufacturing industry is not widely known. The data generated in the manufacturing industry is hard to capture and therefore lags in leveraging AI in productivity and also moves the KPI. Ramesh Kumar, head of analytics at Tata Steel, spoke about how AI is being explored in the company and what are some of the challenges that come into picture while deploying AI. He is currently driving a large scale AI Implementation in manufacturing across Tata Steel.

#opinions #manufacturing industry ai #steel industry ai #ai

Murray  Beatty

Murray Beatty

1598606037

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai