Artificial Intelligence (AI)
Artificial Intelligence & Predictive Analytics in Insurance
Artificial Intelligence & Predictive Analytics in Insurance
Artificial Intelligence & Predictive Analytics in Insurance is a 5 Days executive education programme delivered in Bali, Indonesia. Practical frameworks, case studies, and facilitator-led workshops help participants apply learning at work.
Start date
1 February 2027
Duration
5 Days
Location
9 venues
Rating
0.0 / 5
Artificial Intelligence (AI)
Artificial Intelligence & Predictive Analytics in Insurance
Dates & venues
17 scheduled deliveries from the live catalogue · 12 upcoming, 5 past
Upcoming dates
Open for registration1 February 2027
8 March 2027
8 March 2027
15 March 2027
26 April 2027
26 April 2027
24 May 2027
14 June 2027
21 June 2027
28 June 2027
4 October 2027
18 October 2027
Past dates
Already completedThese deliveries have already taken place and are shown for catalogue history only.
9 March 2026
Past dateBali, Indonesia5 Days · $2,390
27 April 2026
Past dateBangkok, Thailand5 Days · $2,390
15 June 2026
Past dateBangkok, Thailand5 Days · $2,190
22 June 2026
Past dateBangkok, Thailand5 Days · $2,190
19 October 2026
Past dateCairo, Egypt5 Days · $2,890
Programme essentials
Level
Professional
Language
English
Certificate
BCTCI Certificate of Completion
Group size
Up to 12
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About this course
Artificial Intelligence & Predictive Analytics in Insurance is a 5-day professional programme designed for specialists and managers working in Artificial Intelligence. The course builds practical capability in Artificial Intelligence, Predictive Analytics in Insurance, and Accommodation, using consultant-led workshops, real organisational cases, and tools you can apply immediately after the classroom. Participants leave with a structured implementation plan aligned to their role and to organisational priorities.
Learning objectives
What participants will be able to do after the programme.
- Explain the core principles, standards, and decision points that underpin Artificial Intelligence & Predictive Analytics in Insurance.
- Assess where AI creates value, where it creates risk, and where human judgement must remain.
- Diagnose performance gaps and select the right tools for Predictive Analytics in Insurance.
- Design an implementation roadmap that connects Lunch & Refreshment with measurable results.
- Communicate recommendations clearly to colleagues, executives, and external partners.
- Evaluate risks, trade-offs, and quality criteria related to Accommodation.
Personal impact
How this programme develops the individual professional.
- Speak credibly about AI opportunities and limits with technical and non-technical colleagues.
- Strengthen your professional credibility when advising managers and stakeholders on lunch & refreshment.
- Expand your toolkit for predictive analytics in insurance with methods you can use in the next working week.
- Build a personal action plan that links new skills to your current responsibilities and career goals.
Organizational impact
Benefits your organisation gains from this training.
- Align AI initiatives with public value, ethics, data protection, and operational reality.
- Reduce rework, delays, and compliance gaps through clearer accommodation processes.
- Enable knowledge transfer so artificial intelligence capability does not sit with a single individual.
- Support organisational strategy with practical tools for accommodation and performance follow-up.
Programme outline
Day-by-day structure of the classroom sessions.
- 1
Day 1
Foundations of Artificial Intelligence
- 1Context, challenges, and success criteria for Artificial Intelligence & Predictive Analytics in Insurance
- 2Core concepts and language of Artificial Intelligence
- 3Diagnostic exercise using participants’ real work situations
- 2
Day 2
Predictive Analytics in Insurance
- 1Tools and methods for Predictive Analytics in Insurance
- 2Applying Lunch & Refreshment and Accommodation in a facilitated case
- 3Group exercise, feedback, and translation to your organisation
- 3
Day 3
Predictive Analytics in Insurance
- 1Tools and methods for Predictive Analytics in Insurance
- 2Applying Lunch & Refreshment and Accommodation in a facilitated case
- 3Group exercise, feedback, and translation to your organisation
- 4
Day 4
Predictive Analytics in Insurance
- 1Tools and methods for Predictive Analytics in Insurance
- 2Applying Lunch & Refreshment and Accommodation in a facilitated case
- 3Group exercise, feedback, and translation to your organisation
- 5
Day 5
Integration, practice, and workplace action planning
- 1Integrated case or simulation drawing on the full programme
- 2Peer review of draft workplace solutions
- 3Personal and organisational action plans, next steps, and certification briefing
Training methodology
How learning is delivered in the classroom.
- Consultant-led briefings that connect concepts to live systems and decision contexts
- Guided demonstrations and structured hands-on practice
- Scenario labs based on typical organisational constraints
- Peer troubleshooting and structured debriefs
- Workplace application planning with checklists and reference templates
- Classroom delivery with collaborative activities and direct facilitator coaching
Main takeaways
Key outcomes participants leave with.
- Takeaway 1A practical working knowledge of Artificial Intelligence & Predictive Analytics in Insurance
- Takeaway 2Ready-to-use approaches for Lunch & Refreshment and Accommodation
- Takeaway 3Applied competence in Exposure Visit
- Takeaway 4Applied competence in Accommodation
- Takeaway 5Applied competence in Lunch & Refreshment
- Takeaway 6Templates, checklists, or decision aids for artificial intelligence
- Takeaway 7A 30–90 day implementation plan agreed during the programme
Course essentials
Key facts for planning attendance and registration.
- Duration
- 5 Days
- Format
- Classroom
- Level
- Professional
- Location
- Dubai, United Arab Emirates
- Language
- English
- Certification
- BCTCI Certificate of Completion
- Prerequisites
- Open to professionals with relevant experience
- Class size
- 12
- Delivery
- Classroom
Course Brochure
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Training Materials
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Course Questionnaire
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