Looking Ahead: The Future of Machine Learning in 2019

Posted by rita on August 30th, 2019

Machine Learning (ML) is an application of Artificial Intelligence that facilitates machines to access data and let them learn to accomplish these tasks. It uses algorithms and allows systems to discover hidden insights without being programmed.

IN 10 YEARS, MACHINE LEARNING WILL:

Create new services (and possible social issues) According to Martin Ford, author of NY Times, Artificial Intelligence will enhance our ability to solve problems and create new ideas. It is likely that in the next ten years AI and robotics will be fully integrated into the company operations and will have a big impact on organizations’ effectiveness.

Empower businesses Matthew Kamen, VSP of Engineering at Foursquare says that the AI applications are "stuck" at this time, and they are restricted to reproduce what human beings already can do. In ten years these trust barriers against the AI technology will reduce progressively and our addiction to algorithms and intelligent machines will increase.

Enhance healthcare In the healthcare domain, Serkan Kutan – CTO of Zocdoc, says that intelligent machines would be very beneficial. AI could give a great help, especially for all what is associated with patients’ data analysis and diagnostics.

Ease sustainability Nikita Johnson, Founder of RE.WORK, thinks that Artificial Intelligence will have a severe impact on every single industrial field and everything we do. But at the higher level, fields like environmental problems, sustainability, and climate changes, AI and Machine Learning would be at the forefront.

IMPORTANCE OF ML

Acknowledging the growing volumes and types of data available, the demand for computational processing is becoming essential to offer deep-rooted information which is affordable and available easily. With the help of Machine Learning & Artificial Intelligence, it’s likely to automate models which can analyze bigger and complex data to return more quick and precise results.

Corporations are finding profitable opportunities to expand their enterprise by recognizing the precise models to dodge unknown risks. The use of algorithms to build a model is helping businesses to bridge the gap between their products and consumers with excellent decisions and least human intervention. Most industries with large volumes of data have acknowledged the value of Machine Learning and want their employees to join Machine Learning Training Institute in Noida. Biggies like Facebook, Google and Twitter banks on Artificial Intelligence and Machine Learning for their future growth.

THE FUTURE OF MACHINE LEARNING

Here are some predictions about Machine Learning, based on modern technology trends and ML’s regular progression toward maturity:

• ML will be a crucial part of all AI systems, small or large. As ML affects increased importance in business applications, there is a powerful possibility of this technology being offered as a Cloud-based service called Machine Learning-as-a-Service (MLaaS). To know more about it, you can join 6 months Training Institute in Noida.
• Connected AI systems will allow ML algorithms to "continuously learn," based on lately emerging information on the internet.
• There will be a big rush among hardware vendors to boost CPU power to support ML data processing. More precisely, hardware vendors will be forced to redesign their machines to do justice to the ML power.
• Machine Learning will support machines to make excellent sense of context and meaning of data.

TO CONCLUDE

Over the upcoming years, the demand for Machine Learning is anticipated to grow sustainably across all domains. It will play a key role in the evolution of Data Management which will have a direct impact on our lives and on society

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