Question

Accenture is helping a retail company increase efficiency in the management of customer transactions, payment processing, and answering customer queries using Machine Learning. The client uses blockchain technology to share data with their wholesale suppliers, delivery service providers, and customer organizations. How would the client benefit by using blockchain technology to train the Machine Learning model?
A) Blockcahin will ensure only admins can modify the data being sent to the Machine Learning model
B) Blockcahin will ensure that the model training occurs on more consistent & timely data
C) Blockcahin will ensure the automated process can still be manipulated by a human
D) Blockcahin will ensure the automation process is faster than centralised databases

Answer 1

Answer:

Blockchain will ensure only admins can modify the data being sent to the Machine Learning model.

Explanation:

Answer 2

Answer:

Option A - Blockchain will ensure only admins can modify the data being sent to the Machine Learning model is the benefit for the client.

Explanation:

• Amazing learning skills can be found in machine learning algorithms.
• The blockchain can use these skills to become smarter than it now is.
• This connection may help to increase the security of the blockchain's distributed ledger.
• The computational power of ML may also be leveraged to speed up data sharing routes and decrease the amount of time needed to find the golden nonce.
• Additionally, by utilizing blockchain technology's decentralized data architecture, we can create many better machine learning models.

The advantages of integrating machine learning into blockchain-based applications:

Using machine learning models in blockchain technology can provide a variety of advantages, some of which are stated below:

• When an authorized user tries to make changes to the blockchain, user authentication is simple.

• We can force BT to offer a high level of security and trust by using ML.

• Integration of ML models can aid in ensuring the longevity of previously established terms and conditions.

• We are able to create an updated ML model for the BT chain environment.

• Models can assist in gathering useful data from the user.
• This is continually calculable, and based on which we can award the user.

#SPJ2