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24 November 2021

Machine learning and the future of business

Category: MASTER COURSE

This informative half-day session will benefit anyone involved in strategy to identify what needs to be done to adapt and evolve the business and discover predictive costs for digitising a business.

Who should attend?
This informative session will benefit finance professionals, accountants, recruiters, auditors, legal professionals, and anyone involved in strategy. Project managers and change managers would also benefit from an understanding of how businesses need to adapt.  

What you will gain
One of the latest trends in major disruptive technologies has begun to materialise, and is the most talked about change since Big Data in the digital landscape. The arrival of automation brings many positives, and possibly many negatives, such as: military use; rapid disruptive changes in the job market; and new ways of working. More will change in the way we work in the next 2 decades than in the last 200 years... 

To make sure that the collective choices that will be made about AI in the near future will be for the benefit of all, every citizen should take an active role in helping to define how AI will shape our future.  

This course will assist you to:

  • identify what we need to do to adapt and evolve our business with case studies and real life examples 
  • discover predictive costs for digitising a business 
  • gain knowledge around how to start building a proper strategy to prepare for changes in the near future 

Programme outline

The wide-ranging effect of automation: structured tasks and the roles of accountants, telemarketers, delivery drivers, and many customer service functions.

Financial Services / Accounting / Banking

  • Where is the sector heading?
  • What should we do now to prepare?
  • Discussion and analysis

Legal Sector

  • Where is the sector heading? 
  • Legal Tech: What should we do now to prepare?
  • Developing a legal framework around AI and potential issues
  • What are the competitors doing in this sector?
  • Pressure from the new 24/7 culture

Focus points: potential issues around data and how we use it

  • Issues around ethics and bias
  • The Blockchain effect under GDPR
  • …and more

Further business topics

  • Key drivers and costs to digitise a business
  • Strategy: tips and guidance on building a technology strategy
  • The 2020s: impact on job market and further analysis

Bonus topics:

  • Special projects underway
  • Free take-away: in-depth analysis by research firms
  • Homework topics for further study

The course will start at either 9.30am and end at 12.45pm or start at 2.00pm and end at 5.15pm. Refreshments are provided.
3 CPD hours (where applicable). 

CIMA work in partnership with BPP Professional Education to offer CPD training courses

Booking Information

Date Location Price
24 November 2021 - 09:30 Online Live - morning course Price: GBP 315.00
Member price: £284. Plus VAT on all prices.


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Machine learning and the future of business

CIMA members and students should log in to MY CIMA before booking to receive the appropriate discount.

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In-house training 
We can develop tailored training programmes to enhance the finance and business skills of staff across your organisation. To discuss how we can meet your learning and development needs please email us.

Find out more 
If you have any queries please email cima@bpp.com or phone us on: +44 (0)3300 603400.

The venue for this course will be confirmed 14 days before the scheduled date. 

CIMA work in partnership with BPP Professional Education to offer CPD training courses.  

This course will be delivered by BPP Professional Education Limited (“BPP”).  Accordingly, when you sign up for this course, CIMA will pass on the contact details you have provided to BPP so that they can contact you to complete your booking and process payment.  BPP will process any personal information it collects about you in accordance with its privacy policy, which is available at: https://www.bpp.com/professional-education/privacy

The information provided to BPP will not be used by BPP for marketing purposes.

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