Artificial Intelligence (AI) and Machine Learning (ML) are the new hot topics for business intelligence professionals. Using practical examples, our expert speakers will share their understanding of how we can use these tools to make the most of the big data sources available to us.

In a world of expanding data and technology, how can we combine our analysis skills with AI and ML to drive strategy, guide our businesses and optimise our customer engagement channels, to ultimately benefit patients?

This virtual training event will take place in two parts - on the mornings of Tuesday 6th and Wednesday 7th October. Each morning forms a stand-alone event.  Delegates may choose to attend one session if that fits best with their areas of interest.  However attendance on both days will enable delegates to gain a deep understanding of the topic and preferential pricing is offered to encourage this.

Provisional Programme

(Further details and speaker names will be confirmed soon)

Part 1 - Tuesday 6th October - 9.30-13.00 
The key pillars of change that are shaping commercial analytics - The HCP engagement landscape today 

9.30 The evolution of HCP engagement – Landscape and context 

• Current drivers and engagement dynamics
• Opportunities and challenges 
• Commercial engagement model priorities 
• The pillars of change that are shaping future engagement 

10.30 Break

10.45 The changing shape of data and analytics / AI in enabling engagement models 

• Fundamentals of market and performance insights 
• The evolution of customer insights 
• Value proposition – Case examples 

11.45 Break

12.00 Client Case Study – Speaker to be confirmed 

• Creating Data Insight(s) - speaker - followed by Q&A and facilitated discussion 

12.45 Part 1 Wrap Up 

• Concluding comments, Overview of the session takeaways & Actions 

13.00 Meeting Close 

Part 2 - Wednesday 7th October - 9.30-13.00 
Enabling customer analytics across the enterprise and the application of advanced analytics and AI/ML within the commercial domain 

9.30 Enabling advanced analytics to add value in customer engagement 

• High level framework and enablers 
• Capability readiness indicators 
• Applications in Pharma 
• Q&A and discussion 

11.00 Break

11.15 Client Case Study – Speaker to be confirmed 

• Real life applications of AI - speaker - followed by Q&A and facilitated discussion 

12.00 Break

12.15 The future for data enabled customer engagement 

• Facilitated open panel discussion framed around topics and themes discussed during the day 
• Pulling together conclusions and key points to take away 

12.45 Part 2 Wrap Up 

• Concluding comments, Overview of the session takeaways & Actions 

13.00 Meeting Close        

Facilitators

This workshop will be led by:

• Richard Gray, Director, Technology Solutions, UKI, IQVIA

And chaired by:

• Kate Stevens - KES Consultancy / BHBIA Board 

Further speakers will be confirmed nearer the time.

We are very grateful to all those who give their time and expertise for the benefit of BHBIA members.

Delegate Fees

'Early bird' delegate fees for bookings made on or before 4th September 2020:

Full workshop (attendance at both sessions - 6th & 7th Oct):

• Members: £315 + VAT
• Non-Members: £405 + VAT

One session only (either 6th OR 7th Oct):

• Members: £189 + VAT
• Non-Members: £234 + VAT

(These prices include a 10% early booking discount).

Cancellation Policy for early bird bookings: full fee payable / no refunds given; however a substitute delegate can be accepted. (Our standard cancellation policy does not apply).

Delegate Fees for bookings made after 4th September 2020:

Full workshop (attendance at both sessions - 6th & 7th Oct)):

• Members: £350 + VAT
• Non-Members: £450 + VAT

One session only (either 6th OR 7th Oct):

• Members: £210 + VAT
• Non-Members: £260 + VAT

Cancellation Policy: standard cancellation policy applies, as stated on booking form

Online Booking - Click on the register for event button below. Please note you must be logged in if you are a member or join as a registered user to book online.