Assess the current state of IoT and AI convergence against a structured set of criteria rather than impressions.
Internet of Things and Artificial Intelligence: Strategic Convergence
Move IoT and AI convergence from general awareness to a repeatable, reviewable practice.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The distance between a working prototype of IoT and AI convergence and a system the business can depend on is where most budgets disappear. Most organisations now hold more data about AI convergence than they can actually act on. This programme builds this part of digital and data-driven work from first principles, without padding and without omitting what matters. Ambition around IoT and AI convergence outruns capacity unless the sequencing is deliberate. The outcome is a practitioner who can hold a position on the digital and data-driven work discipline and revise it on evidence. Participants come from operational and oversight roles, and both perspectives on AI convergence are used deliberately. Where IoT and AI convergence is measured, it improves; where it is only discussed, it drifts. Discussion is anchored to worked examples of AI convergence rather than to abstract argument. The course ends by identifying what the participant will stop doing to make the wider digital and data-driven work agenda sustainable.
Expected Learning Outcomes
Define escalation and fallback for AI convergence when the automated path fails.
Establish escalation routes for IoT and AI convergence that work outside normal hours.
Design the pilot for AI convergence so its result is decisive rather than merely encouraging.
Set retention, lineage and deletion rules for the data flowing through IoT and AI convergence.
Apply a repeatable review cycle to AI convergence and act on what it produces.
Specify the data IoT and AI convergence depends on, where it originates and who is accountable for its quality.
Who Should Attend
Solution architects designing how IoT and AI convergence fits the existing estate.
Members of committees that take decisions affecting AI convergence.
Public sector digital leads applying IoT and AI convergence under procurement and privacy rules.
Risk managers assessing the exposure created by AI convergence.
Technology and digital transformation managers leading IoT and AI convergence.
Vendor and contract managers overseeing suppliers involved in AI convergence.
Course Modules
IoT and AI convergence: governance, ethics and explainability
2 sessions · 8 pointsSession 1Where IoT and AI convergence touches systems nobody wants to change
- Specify the fallback path when IoT and AI convergence is unavailable.
- Assign responsibility for keeping documentation of AI convergence current.
- Rehearse the briefing on IoT and AI convergence that would follow an incident.
- Agree who is on call for AI convergence outside working hours.
Session 2Keeping AI convergence alive after the initial push
- Identify the data already collected that bears on IoT and AI convergence.
- Identify the skills the team lacks to operate AI convergence independently.
- Review whether IoT and AI convergence is aligned with the objectives of the transformation programme.
- List the data sources AI convergence consumes and confirm each has a named owner.
AI convergence: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Reading the current state of AI convergence honestly
- Confirm the retention and deletion rules applied to data inside IoT and AI convergence.
- Collect evidence on the present handling of AI convergence before proposing changes.
- Estimate compute and licensing cost for IoT and AI convergence at expected and at peak load.
- Build the user briefing that explains what AI convergence does and does not decide.
Session 2Sizing AI convergence honestly before committing budget
- Measure the current quality of the data feeding IoT and AI convergence before assuming it is usable.
- Assess the regulatory obligations AI convergence triggers in each jurisdiction.
- Record what was learned when IoT and AI convergence did not go as planned.
- Define the service level AI convergence must meet and what happens when it is missed.
AI convergence: vendor selection and avoiding lock-in
2 sessions · 8 pointsSession 1The governance AI convergence needs and the governance it does not
- Confirm that those complying with IoT and AI convergence understand why it exists.
- Design the pilot for AI convergence so that a negative result is still useful.
- Set the metrics that will show whether IoT and AI convergence is drifting from its intended behaviour.
- Record the reasoning behind each architectural choice in AI convergence.
Session 2Proving IoT and AI convergence paid for itself
- Identify every system IoT and AI convergence must read from or write to.
- Decide which legacy process AI convergence retires, and set the date.
- Establish what evidence demonstrates IoT and AI convergence is under control.
- Test the procedure for AI convergence against a realistic scenario.
AI convergence: measuring benefit and retiring what it replaces
2 sessions · 8 pointsSession 1Testing AI convergence before relying on it
- Define the trigger that would require IoT and AI convergence to be redesigned.
- Prepare the summary of AI convergence that senior management will read.
- Verify six months later that changes to IoT and AI convergence have held.
- Set escalation thresholds for AI convergence that work out of hours.
Session 2Explaining AI convergence to people whose jobs it changes
- Reduce the variation in how IoT and AI convergence is carried out between teams.
- Write down the assumptions underpinning the approach to AI convergence.
- Define the exit route from the supplier supporting IoT and AI convergence.
- Benchmark the organisation's AI convergence against comparable operations.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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