WHAT IS THE FUTURE OF "ARTIFICIAL INTELLIGENCE" AND "MACHINE LEARNING"?


Posted October 7, 2019 by cetpatraininginstitute

(AI) Artificial Intelligence is the simplified problem-solving method for humans. It facilitates software to complete tasks without being explicitly programmed. It also incorporates deep learning and neural networks.
 
WHAT IS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING?

(AI) Artificial Intelligence is the simplified problem-solving method for humans. It facilitates software to complete tasks without being explicitly programmed. It also incorporates deep learning and neural networks. It is the significant concept of machines being able to complete tasks the way we would consider.
And, basically, (ML) Machine Learning 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.

THE FUTURE OF AI
In the post-industrialization age, people have managed to build a machine that behaves just like the human. The thinking machine is AI’s largest gift to humankind; the grand entry of this self-propelled machine has suddenly changed the operative rules of business. In recent years, digital assistants, self-driving vehicles, robotic factory staff, and smart cities have shown that intelligent machines are possible. AI has transformed most industry sectors like manufacturing, retail, healthcare, finance, and media and continues to invade new territories. The demand for AI professionals will also increase in future and to take advantage of this, you must go for Artificial Intelligence Training in Noida.

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 the 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 Machine Learning Training 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.
IN 10 YEARS, AI/ 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.

HOW ML AND AI WILL AFFECT CORE INDUSTRY SECTORS IN FUTURE
Presently, AI- and ML-powered systems are drastically changing the way business is done across all business sectors. These frontier technologies are constantly bringing about transformative changes across industry sectors, a few of which are listed here:

In Healthcare
Slowly, machines and human practitioners will work in tandem to produce improved outcomes. Advanced machines will be required to deliver the accurate and timely analysis of patient conditions, while the practitioners can concentrate more on patients.
In Finance
ML & AI are the New Future Technology Trends explains how the advanced technologies like blockchain are changing India’s capital markets. For example, capital-market operators can use blockchain to predict movements in the market and to identify fraud.
In Real Estate
Contactually.com, an excellent CRM system for the real estate business, has been specially designed to connect Washington DC-based startups and investors. The extra power of Machine Learning algorithms changes the static system into a live and interactive machine, which approves, responds, and recommends.
Source Url: http://www.cetpainfotech.com/technology/artificial-intelligence-training
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Last Updated October 7, 2019