Future Technology : What is Artificial Intelligence and its applications in the future of business.

Future Technology: What are Artificial Intelligence and its applications in the future of business

Future Technology 

Future technology in Artificial Intelligence is a discipline of computer engineering. Future technology in Artificial intelligence by using business can make a profit in the future.

Artificial Intelligence refers to future technology that mimics human intelligence to perform tasks and can iteratively improve based on the information they collect. Currently, we can say that it is future technology that seeks to simulate the human process of learning and decision-making.


Based on an amount of data, Artificial Intelligence can make predictions through machine learning, neural networks, and other related techniques.

For some time now, a series of studies have been developed to present a detailed and realistic picture of the applications of artificial intelligence, as well as the directions that future technology is taking. Here, we'll talk about some of that research that addresses both the current and trends in how Artificial Intelligence should impact the future of work.

Take a glance at what you may find:

• What is artificial intelligence?
• Current applications of artificial intelligence
• Use of artificial intelligence in predictive maintenance
• Artificial intelligence to reduce costs and deadlines
• Neural networks and predictive algorithms
• Artificial Intelligence and also the way forward for work
• Intelligence is also for managing your advancement.

What is artificial intelligence?

To fully understand what artificial intelligence is, we recall what professor and researcher Renato de Brito Sanchez told us in this article. Entrepreneur and owner of two companies (one of them being automation future technology, robotics, and artificial intelligence), Sanchez says that artificial intelligence “is a concept that refers to the realization of humanity's dream of a distant future, in which machines and robots interact with humans and animals”.

For the distant future has arrived. Artificial intelligence became the newest stage in future technology evolution, succeeding processors that were capable of performing calculations and that later evolved to the use of programmable systems (as we know them today). In the AI model, information processing takes place based on learning from previous experiences. Functioning is similar to our brain, as we are receiving information and processing it to acquire learning.

Current applications of artificial intelligence

How much of all this is already reality? The North American consultancy Gartner brings some important data that help us to have a vision of the real importance of AI for the business. According to a survey, the number of companies that have implemented artificial intelligence in their processes has grown by 270% over the past four years. "Four years past, artificial intelligence implementation was rare, solely 100% of participants."
A McKinsey study also presents a detailed picture. The research was carried out based on the use, by more than 400 companies, of two types of analysis:

 

1. ancient information analysis – Business Intelligence (BI) techniques that monitor, gather and organize information. They analyze past actions, establish new opportunities and implement empirical strategies;
2. Deep learning – these are called neural networks, that is, systems that require thousands and thousands of data for models to satisfactorily perform their complex registration tasks. And, in some cases, it takes millions of this data to perform at the same level as a human being.

Thus, the McKinsey study shows how different segments of the economy understood what artificial intelligence is and, thus, were able to use it for various applications.

Use of artificial intelligence in predictive maintenance

McKinsey's study presents some best practices in the current use of artificial intelligence. One of them is “Predictive Maintenance”, which represents the power of cognitive computing to detect anomalies. By analyzing massive amounts of data, it is possible to take preventive maintenance practices to new levels.

 

For example, AI will extend the lifetime of a shipment plane on the far side what was anticipated. It is possible to combine traditional analysis techniques with aircraft model data, maintenance history, and IoT (Internet of Things) sensors to detect anomalies. Additionally, images and videos of the condition of the aircraft's engine can be added to this assessment.

 

Artificial intelligence to reduce costs and deadlines

Another application is in the logistics sector to reduce costs with real-time behavioral forecasts and guidance. AI techniques such as continuous estimation can add substantial value to this segment. Thus, artificial intelligence can optimize delivery traffic routes, rationalizing the use of fuel and shortening deadlines.

 

According to the report, a European carrier, for example, cut fuel costs by up to 15%. For this, it used sensors that monitor both the vehicle's performance and the driver's behavior. To improve on this second point, drivers received real-time guidance, including recommendations on how much to speed up or slow down, also lowering maintenance costs.

 

Neural networks and predictive algorithms

Already the Gartner predicts a broad expansion of deep learning, a specific segment of artificial intelligence that, from 2020, must correspond to 44% of the total value of derivatives IA business.
Deep learning is nothing over neural networks that enable you to perform data processing and pattern recognition on giant information sets that may otherwise not be pronto quantified or classified. this permits prophetic algorithms to figure directly with data that antecedently needed human activity to kind and classify.

 This feature directly impacts the power of firms to modify call and interaction processes. This high level of automation reduces prices and risks and permits, for example, higher revenue through higher selling and sales segmentation.

Artificial Intelligence and also the way forward for work

Another issue that has caused loads of insecurity once it involves computing is that the prediction that a lot of the work positions we all know these days can modification significantly in nature or perhaps be eliminated. After all, are we getting to lose our jobs to robots?  

With the exponential growth of the technology market involving automation and AI, it's traditional for this subject to cause some anxiety. However, as a Deloitte report points out, the trend is that, over eliminating jobs, there'll be a profound transformation within the method we tend to work these days. the concept is that as machines wrestle repetitive tasks and people's work becomes less routine, we can higher leverage our most essential capabilities, like creative thinking, fellow feeling, and demanding judgment – characteristics that distinguish North American country from machines. 

In this sense, Deloitte created the thought of Superjobs (in Portuguese, super job), which might be positions that mix components of various ancient jobs into integrated functions, adding human skills to automation technologies like artificial intelligence, psychological feature technologies, and AI.

Intelligence conjointly for managing your advancement

Every company that wishes to be ready for the longer term has to knowledge to use technology to its advantage. The Runrun. is a piece management software system supported computing and powerful algorithms, that provides task delivery statement and comes, and also the method time (lead time). what is more, it organizes the flow of demands and offers you a read of the total. 

The tool conjointly generates machine-driven reports, thus you'll simply see the progress of your team's deliverables and performance. that reduces micromanagement and will increase your accessibility to suppose strategic solutions for your company.