Ever since deep tech or deep technology came into being, it has only been working towards simplifying many other things. Many industries have been able to simplify their way of working because of the deep tech solutions. More and more businesses and governments are working towards adopting and implementing these solutions in their daily tasks.
The deep tech companies in India have been having a significant impact on various sectors such as robotics, smart homes, autonomous homes, clean technology, energy efficiency, and so much more. It is more of a tangible engineering and innovation system transforming the working with its different aspects. It is further playing an important role in catalyzing the sectors.
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What is deep tech?
Deep Tech is a generic term or umbrella term used to describe services that do not provide end-user solutions such as advanced material science, biotech, quantum computing and blocking. It has been playing an important role in identifying the significant aspects around the tech changing.
However, like most technological systems, Artificial Intelligence is one of those sectors that has been changing itself. General technology is very much different from deep technology. The businesses and government sectors have already started to overlook deep tech and evolve with the use of deep tech. The feature of quantum computing is what sets deep tech apart from other parts. Several large organizations have already begun to improvise and implement deep tech in their systems. Leading tech giants such as Facebook, Google, and Apple are growing with deep tech.
Not only that but the Artificial Intelligence companies in India are also focused on bringing a revolution. With the best consumer startup, they are dedicated to growing in the niche. The investors are also considering deep tech to be one of the best sectors for growth. Hence, deep technology is contributing towards solving some of the most complicated problems, which is eventually paving the way for instrumental change.
One of the most important things to note about deep tech is that it is no general business model. Instead, deep tech is more of a science and a technology advancement contributing to creating several opportunities for businesses.
Some of the sectors where Artificial Intelligence has taken a huge turn include computer science, medicine, clean-tech, aerospace and more. Furthermore, blockchain and quantum computing is also hailed to be some of the best examples of deep tech.
How is deep tech different from general tech?
The data professionals across different industries have been contributing towards bringing the change. Their ability to monitor the performance of data solutions. The innovative and startup companies are mostly dependent upon these updating and innovative technologies for their growth.
Unlike the above mentioned general tech companies, Artificial Intelligence is a very advanced solution. With the help of Artificial Intelligence solutions, businesses can drive innovations with the help of AI scanners. Thanks to the coming in of this technology, one can easily detect new clean-tech solutions and fake drugs. Furthermore, it is playing an essential role in removing or fighting global warming. The companies that use Artificial Intelligence aren’t built on the existing technology. They are the ones who make use of the most advanced solutions for bringing a change.
Does India need deep tech?
Not only India, but almost all the countries in this world need Artificial Intelligence. This is mostly because Deep tech is playing an essential role in bringing digital transformation.
India, however, is one of those countries that need Artificial Intelligence startups the most. This is mostly because Artificial Intelligence startups will play an important role in bringing digital transformation. The existing technologies have been using different systems like cloud, mobile and customer relationship management tools. However, they need more of a digital transformation that will help to boost storage, connectivity and computing power. The leaders and experts in the field suggest that more Artificial Intelligence companies and startups need to take the front seat for bringing a change in the country dynamics.
The emerging deep technology systems such as Advanced Analytics, ML/AI, IoT would play an essential role in adding an extra intelligence layer to the system. This would further play an important role in enhancing the system. When used in the background, the Artificial Intelligence systems would help make significant changes in terms of customization and smartness. With time, Artificial Intelligence is constantly changing and evolving. Hence, digital transformation 2.0 will eventually play an important role in increasing technological advancements in the country.
What are the challenges of commercializing deep tech?
Deep tech is extremely important in today’s world. But, commercializing it is also bringing a lot of problems. The commercialization of Artificial Intelligence would play an important role in bringing innovative products across the market that would benefit society. However, it is not as easy as it seems because several challenges are present in the process.
Some of the common challenges for commercializing deep tech include the following
Funding
Funding has always been a problem for deep tech startup companies. Artificial Intelligence startup companies usually need higher funding than general tech startups.
Moreover, the Artificial Intelligence usually functions in algorithms and mechanics, mostly for new technologies. Unlike the general tech startup companies, these do not have any third-party certifications, so many investors are skeptical about the financial aid.
Marketing
Artificial Intelligence companies need advanced marketing, which proves to be a problem or obstacle in commercialization. Hence, the inadequate or lack of marketing information makes it a problem to launch these products globally.
The mismatch between human talents and business infrastructure can indeed be a problem. As this is an emerging technology, newer and better models need to come into existence to avoid the challenges. In many cases, the distribution of these products also turns out to be one of the most significant challenges in the industry.
Artificial Intelligence is not only a blessing but a disadvantage too. It is contributing towards bringing change in the business infrastructure. But, it is also paving the way for several challenges.
