Technological innovation: 7 examples that benefit from artificial intelligence

Technological innovation is using many disruptive areas to positively change our lives. Currently, one of the areas that is generating the most impact is artificial intelligence (AI). Below, we present seven examples of the usefulness of artificial intelligence and how it contributes to improving our lives.

1. Artificial Intelligence to innovate in eHealth and detect breast cancer

Several universities around the world, including the University of Valencia in Spain , are training artificial neural networks that use machine learning to make more accurate diagnoses.

Researchers from the Corpuscular Physics Institute (CSIC-UV) and the Polytechnic University of Valencia participated in this system . By applying AI, the number of false positives is reduced. Detection reliability is close to 90%, the highest in this type of system.

2. Impact on economic growth

Artificial intelligence has the potential to generate technological innovation that makes use of robotics and the Internet of Things (IoT). This translates into an increase in economic growth by 1.7 points in 16 industrial and service sectors, according to a report by Accenture .

3. Promoting entrepreneurship, SMEs and SMART companies

Technological innovation is a characteristic of SMART companies. In these entities, the definition of measurable objectives is fundamental. Small businesses and SMEs also rely on technologies to differentiate themselves from the competition.

Artificial intelligence, machine learning and business intelligence models are useful in driving companies through SMART goals . SMART goals are relevant because they direct strategic efforts, campaigns and determine which strategies are most effective.

Through the use of innovative technologies, SMART companies identify objectives with these attributes:

• Specific 
• Measurable​​
• Achievable 
• Realists
• Temporal

According to MIT Technology Review, some of the smartest companies are, among others:

• Nvidia
• SpaceX
• Amazon
• IFlytek
• Kite Pharma
• Intel
• Apple
• Merck
• Tesla
• Adidas

4. Improved mobility and smarter infrastructure in Smart Cities

Taking advantage of the potential of cloud computing, IoT and artificial intelligence improves urban infrastructure. Citizen care and security services are also improved, making them more efficient.

Projects based on Microsoft Azure Digital Twins , which include cloud computing, artificial intelligence and IoT, connect people, places and devices.

The solutions developed incorporate innovations based on digital transformation to address common problems:

• Improving urban mobility
• Build smarter, more efficient infrastructure.
• Improving citizen service and encouraging digital citizenship
• Increase security and prevention.

An example in search of creating smart cities with a better quality of life is the Smart City Expo World Congress .

5. Smart apps and virtual assistants in the palm of your hand

Artificial intelligence and machine learning embedded in chatbots and smart apps represent opportunities for technological innovation . Incorporated in solutions developed for mobile devices, they personalize the services available to customers.

Some of the applications where artificial technology enhances digital transformation by increasing competitiveness include:

• Capturing customer behavior data using chatbots and analyzing it using AI and business intelligence.
• Automated and personalized customer service, with online feedback .
• HR selection processes, identifying candidates and optimal personnel to achieve objectives and improve company productivity.

6. Biotechnology, nanobots and new products

Sectors such as food, medicine, energy generation and security are some of the sectors that benefit from the creation of new products and biotechnology.

Self-cleaning fabrics and 3D-printed artificial organs are concrete examples of the benefits of new products. There are also fabrics that can replicate and heal faster, and paints that save energy.

Electronic systems are also benefited by the use of nanoelements that increase the speed of devices. Undoubtedly, another benefit of these technologies is energy savings and increased computing capacity.

7. Intelligent business recommendation models

Including analytical and predictive skills from the application of artificial intelligence and big data improves business recommendation systems.

Business intelligence (BI) leverages the benefits of technological integration with analytical and learning skills.

Intelligent BI-based recommendation models facilitate efficient data mining, modeling, visualization, and evaluation.

Machine learning algorithms are also used in these systems to predict and determine services or products to offer. Being able to apply technological innovation in business management results in innovative management approaches. The goal is to develop critical skills for decision-making supported by intelligence.