artificial intelligence

WHAT IS ARTIFICIAL INTELLIGENCE DEVELOPMENT

Artificial Intelligence (AI) Development entails the combination of algorithms formulated for the purpose of creating machines that have the same skills as a human being. This is a technology that still seems to be distant and mysterious, but one which has been a constant presence in our day-to-day lives for some years now.


Artificial Intelligence (AI) Development entails the combination of algorithms formulated for the purpose of creating machines that have the same skills as a human being. This is a technology that still seems to be distant and mysterious, but one which has been a constant presence in our day-to-day lives for some years now.

TECHNOLOGIES:
Computer Vision
Natural Language Processing
Predictive Modeling
Recommender Systems
Mathematical Modeling
Reinforcement Learning
 

MAIN PRACTICAL APPLICATIONS OF ARTIFICIAL INTELLIGENCE:
Finance
Smart technologies can help banks detect fraud, predict market patterns and advise customers on transactions.

Agriculture
Specific platforms that use predictive analysis to improve agricultural yields and warn of any adverse impact to the environment.

Commercial
AI will make it possible to create sales forecasts and choose the right product to recommend to the client. Companies like Amazon use robots to identify whether or not a book will be successful, even before its launch.

Health
Chatbots already exist which ask us about our symptoms in order to make a diagnosis. Data collection generates patterns that help with identifying genetic factors which are susceptible to developing a disease.

Logistics & Transportation
It will be useful for avoiding collisions or traffic jams, as well as for optimizing traffic flow. Tesla has developed a system in which, when one of its cars uses a route for the first time, it shares the information with the rest.

Climate
Fleets of drones capable of planting one billion trees per year to combat deforestation, unmanned submarine vehicles to detect leaks in oil pipelines, smart buildings designed to reduce energy consumption, etc.

Virtual Personal Assistants
Interactive chatbots who can suggest products, restaurants, hotels, services.

Education
It will let you know if a student is about to cancel their registration, suggest new courses and create personalised offerings to optimise learning.

BENEFITS OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO YOUR SOFTWARE
1. Increased productivity
By minimizing human error, AI technology increases productivity in the workplace. As skilled as our sets may be, we are still human and prone to mistakes in the workplace. AI are not perfect workers, but the likelihood that they are going to make a mistake are greatly reduced in comparison to their human counterparts.

2. Reducing operating costs
By eliminating much of the human equation, AI also reduces associated costs. Through process and task automation, costs can be effectively reduced, allowing for increased focus in other areas.

3. Improving speed to market
Artificial intelligence is capable of analyzing and coming to a decision with large amounts of data faster than humans can. By making faster and better decision-based on data mining, analysis, and outputs for cognitive technologies, products can hit the market much faster.


4. Transforming the business and operating model
AI technology has a tendency to cause a stir in traditional business models. With its capabilities to automate and analyze various tasks and data circuits that otherwise would have been dealt with by a human, resources and structures can be repurposed to accommodate artificial intelligence as a vital asset.

5. Improving customer engagement
AI can provide insights to predict customer preferences and offer a unique, personalized experience. Much of Big Data info helps inform artificial technology to the individual. By expanding the AI on how to provide the best possible experience for the customer, they can then cater to specialized experiences for everyone using the company’s services.

6. Improving bottom-line growth
Bottom-line growth refers to a company’s net earnings. This growth is directly connected to the previous benefits that AI technology provides: automation, limiting human error, and lowering operating costs. As we know, cost-effectiveness is a key tenant of good business, and delegating responsibilities to an inexpensive yet effective program results in a net profit for the company as a whole.

 

 

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