Blockchain — backbone of AI infrastructure
Artificial Intelligence revolution is in its full swing. From autonomous driving cars to drone delivery systems, we’re already experiencing the futuristic world. Advancements in Ai have changed the daily life landscape that we were so accustomed to for a very long time. The rate of innovation in the field of AI is exponential, and it won’t be wrong to say that, today, AI is all around us.
Even will all the exciting applications of AI, we’re realizing more every year. However, there are several issues that enterprises need to solve before AI can make its way into the mainstream & practical applications. In short, AI becoming the new norm. This advent of AI comes with its set of burdens and expectations. We, at Jura, believe that blockchain technology will be the enabling infrastructure that will allow AI based applications to reach their full potential.
Improve Data Quality
Data is the most crucial ingredient for any AI system. As the saying goes “garbage in, garbage out” applies perfectly to Machine Learning algorithms. No matter how good the algorithm, if the quality of the data is not good, the results will be inaccurate and this will have a negative impact on the business value it was programmed to create in the first place.
To solve the problem of data quality, public blockchains are the perfect solution. Blockchains create an environment where data is private, immutable, transparent, distributed, and is free to operate without the direction of a sovereign entity. Eventually, public mineable blockchains will be the AI Superhighways, but not just with computation power. They will also act as the data feeds into AI models, which will be essential to preserving the validity of the models. Blockchain technologies hold the promise of adding structure and accountability to AI algorithms, as well as the quality and usefulness of the intelligence they produce
Decrease Computing Costs
As the data size in enterprises is getting larger and larger, there is a clear need for more computing power. Traditional suppliers for computing powers like Amazon, Microsoft are using price as a controlling metric which is limiting the rate of innovation.
Blockchain-based solutions are now working on building a decentralized marketplace for CPU/GPU computing power that machine learning tasks need. These projects aim to match a computationally intensive project with connected platform members who will share their system resources to complete a given task. With distributed ledger technology (DLT), AI innovation can dramatically reduce its cost of computing by accessing the globally distributed GPUs, used by crypto miners, and then make them available to AI companies. With blockchain based projects creating computing power marketplaces, computing power rates could quickly become much more compressed than the cost curves of the past.
Increase Computing Power
With the rise of autonomous driving cars and NLP based voice solutions, large computing power is required to run complex deep learning algorithms like neural networks. For AI to reach the grand vision of omnipotent technology, we need to accelerate the advancement of scalable computation available for AI systems.
Currently, huge investments are being made in more and more data centres that are utilizing a traditional CPU based computing to perform machine learning tasks but building more and more of these data centres is not the solution to our problem.
Instead, the blockchain, or distributed ledger technology (DLT), may provide the computational resources AI needs by utilizing the computing power of machines that hold non-utilized GPU computing power. Blockchain-based projects are now working on connecting computers in a peer-to-peer network allowing an individual to rent resources out from each other. These resources can be used to complete tasks requiring any amount of computation time and capacity. Today, such resources are supplied by centralized cloud providers which, are constrained by closed networks, proprietary payment systems, and hard-coded provisioning operations.
Blockchain has the potential to act as the backbone for AI infrastructure by commoditizing and tokenizing raw computational processing power to expand the development of artificial intelligence. Instead of building large data farms and centres that require millions of dollars in maintenance costs, we can utilize the shared computing power of individuals and save energy while powering large AI systems. This, according to us, is a more viable and long-lasting solution.
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