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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.

Timings

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

Entry Fees

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Participants

upto 100 DelegatesEstimated Count

Category & Type

Conference
Education & Training
IT & Technology

Editions

19-21 Jun 2019


Frequency Annual
Next edition likely in Jun 2020 Interested

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Organizer

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Marcus Evans (EMEA) UK

Top Rated 723 events listed

User Community [ Users who have shown interest for this Event ]

Kylie

Kylie

Healthcare at UCLA

Los Angeles, United States
Taj

Taj

Co-pack Mgr at Dole Packaged Foods

London, United Kingdom
Daniel Martz

Daniel Martz

Assistant Manager at Dimbleby Cancer Care

London, United Kingdom
Syed Fiaz

Syed Fiaz

Chishtian, Pakistan

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