An Introduction To Deep Tech

An Introduction To Deep Tech

Technology keeps evolving. It has transformed every industry and will continue to do so in the future. Technology is an innovation that uses developing technologies to solve global problems and create new markets. It offers to overcome big obstacles in healthcare and climate change.

Over the years, the deep tech sector has seen rising development and is likely to gain a faster pace in the times ahead.  

A deep-tech company generally starts with a technology, usually based on a scientific discovery or engineering innovation.

Deep Tech differs from traditional tech as deep tech startups are usually the combination of technology and scientific talent that work towards a common goal.

The COVID-19 pandemic, increase in global warming, and climate change has put pressure on already weak systems, and it’s even these complex issues that deep tech can be designed to address.

New-age companies like Tooliqa have made it a mission to create intuitive tools with IQ, which can drive simplicity into solutions that tackle complex real-world problems.

Deep tech doesn’t sit in one sector alone. It can potentially expand and transform all the industries like healthcare, finance, and agriculture to name a few.

Use cases of deep technology

  • Healthcare

The whole healthcare industry is transforming due to the emergence of deep technology. With the help of Artificial intelligence, individuals with only basic training are proficient in carrying out specialized medical tests. It can sometimes outperform medical experts and help with the easy diagnosis of patients.

Initially, health tech concentrated mainly on marketplaces and hospital management systems for efficiency and telemedicine to grant better access to scarce doctors.

Further, deep tech startups are focusing on creating a deep impact by making diagnostic screenings for medical problems cheap.

This new technology helps scientists gather detailed health-based data and create better tailor-made treatments.

Applications for deep tech in this field include wearables that provide individuals with unparalleled access to data that helps them monitor their cardiovascular well-being.

These wearables provide various benefits, and some of them are approved by medical professionals. Although wearables can never replace medical experts but are highly helpful in providing valuable information to your doctor.

  • Cyber security

With advancing technology, privacy has become a major concern.

According to an Egress Insider Breach Survey 2021, 90% of all data violations have a human aspect to them.

Due to the sheer amount of SOC alerts per day, it would be impossible for humans to address all the data as employees would have to keep monitoring 24 X 7.

Cybersecurity should move from traditional approaches to consistent and objective measures that measure risk yesterday!

Many multi-billion-dollar companies fall prey to cyber-attacks regularly, which proves that we are already behind schedule. The solution for this is to create a channelized method where human intervention is minimized and replaced with automated technology.

Moreover, deep tech and cybersecurity co-exist but, the next step is to ingrain deep learning into the cybersecurity system.

  • Agri-Food

Today, the advancements in the deep tech revolution have changed the way of farming. The agri-food sector has started to re-evaluate how to produce and distribute food in a way that is productive and does not harm the planet.

Nowadays, farmers can keep track of what is going on their farms through an app that uses satellite imagery. Farmers can make better decisions from the imagery of crops by analyzing the data gathered by the sensory devices attached to the tractors.

Using the data collected through drone technology and artificial intelligence for their farms will benefit them and help them improve productivity and attain better profitability.

Precision farming helps monitor variables like humidity, sunlight, and temperature that boost crop production and quality.  
  • Finance

Finance was one of the untouchable fields. It has been replaced with ‘Fintech‘. As the name suggests, is a combination of Finance and Technology.

From automation to augmented intelligence (a combination of human and machine intelligence), AI is already starting to make a huge difference in the finance field.

Technology risk management has many benefits that one should take advantage of in this fast-paced world. It seeks to improve and automate the financial services industry.

Fintech makes a variety of financial activities like money transfers and cheque deposits without the assistance of a person.

  • Education

It was high time our education system shifted from memory-based learning to practical learning.

Deep technology has brought about this change, and the pandemic was a huge steppingstone towards this transformation.

Deep technology allows students to learn visually with the help of virtual reality and artificial intelligence.

3D-based educational toys and content have proved to increase concentration and engagement in classes.

Deep tech gives the ability to re-create and design objects in 3D. Further, 3D animations help students study various structures closely, no matter what size.

Students gain valuable practical skills through this and make it easier for them to understand concepts. Implementing deep tech in schools has shown clear results and will continue to do so in the future.

  • Consumer

Similarly, Artificial Intelligence has also changed the way we live in our homes.

Home automation systems such as video surveillance for home security, tracking devices, and other smart devices have become popular among the masses and will continue to gain success shortly.

Motion sensors/detectors along with security cameras easily identify a break-in and will automatically contact emergency services. This does not require human monitoring.

The future of home automation is to make all your daily chores easier by the use of simple instructions through voice commands.

AI has developed to an extent where these systems can recognize and differentiate between your friends, family, and visitors with the help of a facial recognition feature. Moreover, the new technology will also take care of your energy consumption and help in reducing your carbon footprint by controlling automated lighting sensors.

In conclusion, the Deep technology revolution is gaining pace and will soon spread to all sectors, benefiting from its enabling capabilities.

Read also: The Next Future Powered By Deep Learning | Insights - Tooliqa

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Quick queries for this insight

How is deep tech useful in agriculture?
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Deep tech is the next logical step in agricultural production, providing farmers with new ways to collect and analyze data. For example, satellite imagery can be used to provide real-time information on crop health, while sensors can be used to track soil moisture levels. This data can then be used to make informed decisions about irrigation, fertilization, and pest control. In addition, deep tech can also be used to improve the sustainability of agriculture. For example, precision agriculture can help farmers to reduce their use of water and chemicals, while also reducing their carbon footprint.

What is the difference between deep and traditional tech?
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Deep tech refers to technology that is based on breakthrough science and engineering. This includes technologies like artificial intelligence, quantum computing, and robotics. In contrast, traditional tech refers to technology that has been around for a while and is more widely adopted. This includes technologies like the internet, mobile phones, and computers.

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