Machine Learning in Legal

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"Practical challenges that law firms face by adopting machine learning to transform their company"
RPA is not something that has been widely implemented across energy and commodity trading firms, but is becoming a large talking point as the industry has already acknowledged the opportunities it brings. Considering the back office in energy and commodity trading firms largely consists of repetitive, and menial manual labour tasks, it is a function that lends itself to the implementation of RPA. This give rise to operational efficiency, as it cost-effectively completes the manual labour work, .. continue reading in turn freeing up the time of employees to focus on more engaging tasks that rely on human instinct. There are many use cases for RPA in the back office function, but less is seen and understood with DLT, which is also very topical in energy and commodity trading markets. With all this in mind, this marcus evans conference will look at how to increase efficiency of back office operations in the energy and commodity trading using robotic process automation and distributed ledger technology.


8:00 AM - 5:00 PM (General)

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upto 100 DelegatesEstimated Count

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Education & Training
IT & Technology


19-21 Jun 2019

Frequency Annual
Next edition likely in Jun 2020 Interested

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Marcus Evans (EMEA) UK

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