This post first introduces the recent trends in AI and the path breaking innovations associated with it. It also reveals what the next generation of start-ups in India would look like. It goes on to link the future endeavours of start-ups to the impending revolution in AI. With glimpses of opportunities in Indian market, the post concludes with future prospects of AI based start-ups.
Visualizing AI
Let us first visualize the recent trends in artificial intelligence with a profound focus on deep learning architecture. Artificial intelligence is changing the way machines look at the environment and take decisions based on their neural schema. The genesis of this neural schema lies in deep learning architecture.
Deep learning architecture
Deep learning architectures have the potential to transform the start-ups in India dramatically. To give a brief insight of this, we have to understand what deep learning architecture is all about. Deep learning architecture also known as structure learning is a hierarchical learning which enables machines to take decisions. In deep learning, learning can be supervised, it can be semi supervised or unsupervised. various types of learning architectures in deep neural network systems are deep recurrent neural networks and auto encoders. These deep networks have the potential of transforming the way we recognise the relationship between the market and Technology. In addition to this, the convolution neural networks have been applied to multiple fields including computer vision, speech recognition, Natural Language Processing, audio recording, image processing and the like.
Deep transformation
For understanding the designing and architecture embedded in deep learning, we have to understand the tools of deep learning architecture. Deep learning architecture of a simple function taken as input generates output based on the sigmoid function. Deep learning architectural design comprises of various number of cells like input cell and output cell, memory cell, convolution cell, kernel cell, etc.
These cells function in series or in parallel with each other to generate a decision making super complex.
Having peeped deep down into the artificial intelligence framework, it would now be interesting to know the way this research would impact start-ups.
The shape of start-ups
India has the 2rd largest start-up ecosystem in the world; expected to witness a growth of 10-12% year on year.
Almost 20,000 start-ups in India are blooming and around 4,750 of these are technology led start-ups
1,400 new tech start-ups were born in 2016 alone; implying there are 3-4 tech start-ups born each day in the country.
The shape of next generation start-ups is amorphous as the digital market itself is becoming much bigger than imagined. Start-ups of future would generate most of their revenues from machines. So, they would need to train their employees in an applied AI course. In addition to this, they would need to employ a highly evolved breed of machines smart enough to take decisions. This breakthrough would never be possible in the absence of artificial intelligence.
The decisions taken by machines would be in the context of sectors that are hitherto untapped and unexplored. It is only by virtue of applied AI courses that the potential of these untapped sectors can be realized.
An impending revolution
The impending revolution in artificial intelligence would thus act as a lever to catapult the revenues of major technological start-ups in future. The prospects of this linkage can be envisaged from the fact that India is aggressively campaigning for digitization in a bottom up manner. With an aim to transform the grassroots of the country with the wave of digitization, there seems to be a great chance for start-ups to ride along g this wave.
In Conclusion
For artificial intelligence to fuel the spirit of start-ups in India, Digital India is going to be the ultimate panacea. But Digital India has to encompass a technological revolution strong enough to change the nature of jobs in the country. Once the nature of jobs starts changing, machines powered by artificial intelligence would take upon the repetitive tasks while as more complex ones would be reserved for humans. In this context, there is an immediate need to recognize this symbolic symmetry between a man and a machine so that both supplement each other parsimoniously in near future.