Finance

Muthoot Finance Q1 net rises to 30 per cent

With big data software companies and cloud providers using up a large amount of data, there has been a substantial increase in the practical application of AI.

Artificial intelligence is already being applied in a lot of fields to perform a specific task such as medical diagnosis, remote sensing, electronic trading and robot control.

Financial institutions have long used an artificial neural n

rises

etwork to detect system changes and abnormal claims while alerting and flagging them for human to investigate.

Many banks are making use of artificial intelligence systems to maintain book-keeping, organize operations, manage properties and invest in the stock.

Artificial intelligent defined as a theory and development of computer systems to perform tasks normally associated with humans such as decision-making, visual perception, and speech recognition has been in existence for a long time.

With advancements in computational hardware, big data, and machine learning, artificial intelligence is becoming more powerful and useful every day.

Recent advances in artificial intelligence have ushered in a new era in finance and within a short period of time, big data and machine learning have yielded breakthrough that resulted in improved customer experience and productivity.

Software plays a huge role in this breakthrough and there still remain a lot of challenges to solve. There is a need for software to be designed and optimized to fully take the advantage of the features of the underlying hardware to improve performance. There is also need for libraries, framework and other tools to be streamlined in other to accelerate the development process. Some of these problems have been solved because of the advance in GPU.

Here are a few areas in finance that artificial intelligence is already having an impact:

• Financial service providers and banks are deploying AI to help predict and plan the way customers manage their money and thus making AI an integral part of business development strategy.

• The capability of smart machines to turn data into customer insights and improve services is transforming the digital experience. By utilizing complex algorithms and machine learning, AI can process thousands of structured and unstructured data points and because finance professionals heavily depend on data, this capability can significantly impact how they do their jobs.

• Auditors feel freeing of responsibilities due to automation potential provided by artificial intelligence. They are using AI to automate time-consuming and manual activities, giving them time to focus on the more important job. AI can help auditors to review contract and document faster by employing machine learning technology that can find key phrases from documents that take a lot of time to decipher or interpret. Currently, AI can process language in a document and produce relevant results, this has played a crucial role in improving productivity.

• Data-driven management decision at low cost is ushering in a new style of management and in the future, managers will able to question machines instead of human expert. Machines will analyze data and make a recommendation that team leaders will base their decision upon.

Embedded application  rises  in end-user devices and financial institution per Muthoot 

Muthoot

servers can analyze a large volume of data, providing customized forecasts and financial advice. Applications like this can also help to track progress, develop financial plans and strategies.

The common loan ticket length reduced marginally for the zone underneath evaluation to Rs 37,196 from Rs 37,417. Gold jewelry pledged stood at 152 tonnes on the give up of the quarter. A number of loan bills recorded a boom of nine% to seventy-five lakh all through the Q1 of FY 18 when as compared with the corresponding zone of the preceding economic.
The board of Muthoot Finance has decided to acquire ultimate 11.73% conserving with other shareholders in Muthoot Homefin (India) at an aggregate price of Rs 38.72 crore. With this acquisition, MHIL becomes an entirely owned subsidiary.

With big data software companies and cloud providers using up a large amount of data, there has been a substantial increase in the practical application of AI.

Artificial intelligence is already being applied in a lot of fields to perform a specific task such as medical diagnosis, remote sensing, electronic trading and robot control.

Financial institutions have long used an artificial neural network to detect system changes and abnormal claims while alerting and flagging them for human to investigate.

Many banks are making use of artificial intelligence systems to maintain book-keeping, organize operations, manage properties and invest in the stock.

Artificial intelligent defined as a theory and development of computer systems to perform tasks normally associated with humans such as decision-making, visual perception, and speech recognition has been in existence for a long time.

With advancements in computational hardware, big data, and machine learning, artificial intelligence is becoming more powerful and useful every day.

Recent advances in artificial intelligence have ushered in a new era in finance and within a short period of time, big data and machine learning have yielded breakthrough that resulted in improved customer experience and productivity.

Software plays a huge role in this breakthrough and there still remain a lot of challenges to solve. There is a need for software to be designed and optimized to fully take the advantage of the features of the underlying hardware to improve performance. There is also need for libraries, framework and other tools to be streamlined in other to accelerate the development process. Some of these problems have been solved because of the advance in GPU.

Here are a few areas in finance that artificial intelligence is already having an impact:

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• Financial service providers and banks are deploying AI to help predict and plan the way customers manage their money and thus making AI an integral part of business development strategy.

• The capability of smart machines to turn data into customer insights and improve services is transforming the digital experience. By utilizing complex algorithms and machine learning, AI can process thousands of structured and unstructured data points and because finance professionals heavily depend on data, this capability can significantly impact how they do their jobs.

• Auditors feel freeing of responsibilities due to automation potential provided by artificial intelligence. They are using AI to automate time-consuming and manual activities, giving them time to focus on the more important job. AI can help auditors to review contract and document faster by employing machine learning technology that can find key phrases from documents that take a lot of time to decipher or interpret. Currently, AI can process language in a document and produce relevant results, this has played a crucial role in improving productivity.

• Data-driven management decision at low cost is ushering in a new style of management and in the future, managers will able to question machines instead of human expert. Machines will analyze data and make a recommendation that team leaders will base their decision upon.

• Embedded application in end-user devices and financial institution servers can analyze a large volume of data, providing customized forecasts and financial advice. Applications like this can also help to track progress, develop financial plans and strategies.

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