Start on the moderate success line in the chart where you will see "Image and Video Analysis".
- From customer's or contractor's phone, tablet
- From telematics in a drivers car or truck
- From drivers dashcams
- From drones, masts
- From machine sensors
- From wearable devices, clothing
Learn to extract value from this data before considering AI and machine learning. It will have a major potential impact on your business.
Take the construction and building industry. 35% of costs are accounted for by waste materials and remedial work. Why?
Because project teams are rarely in real-time contact with the contractors doing the work. There is a constant process of onsite operatives needing to gain authorisation for additional work to tackle problems literally uncovered as work proceeds. The feared word "VARIATIONS" rears its head adding these issues:-
- Delays whilst authorisation sought to proceed
- Mistakes as verbal and written communication describes the problem
- Further delays as remedial work specified, costed, quoted accepted
- Confusion as to what various parties agree or think they agree
- Further delays as inspection, authorisation process proceeds.
This results in the 35% of costs which can be the difference between success and bankruptcy. New cloud platforms will capture, time & data stamp Image and Video Analysis integrated into the process to save a significant chunk of this 35% avoidable cost.
Instead of waiting for expert engineers to arrive on site join them by video streaming from phone, tablet, drone to decide if they can authorise variations now or have to make a site visit.
Question the contractor's operatives on site to make sure the work, plan & equipment is actually necessary. How many times does a contractor commission drying machines to dry out water damaged buildings before even rectifying the cause of water ingress e.g. blocked drains?
Once this is integrated as part of the legacy platform the onsite tasks and activities can be seen and managed as if the PMO were onsite.
Other use cases abound:
- Tenants report faults, damage by smartphone
- Landlords agree pass images to contractors
- Contractors quote and repair/replace
- Customer makes claim online
- Claims team send link for photo/video
- Most claims settled there and then
- Over 30% walkaways reducing fraudulent claims without expensive AI
- Take nation-wide retail units
- Shop manager reports faults, damage online
- Adds photo/video
- FM team pass data to contractor(s)
- Contractor quotes and repairs/ replaces
- Contractor provides photo/video proof completion
Healthcare & Telehealth
- Nursing care homes
- Sensors in rooms and wearables alert to falls
- IN case illness add photo/video to sensor, temperature, blood pressure etc for healthcare professional to review
- Addf streaming video and interactive conversation
- Professional decides if
- doctor required or not
- Ambulance/hospital visit necessary
- Or simple medication by qualified nurse or lay carers
- Online platform can manage triage- care home, call centre- medical staff
You will make large and significant improvements to performance adopting this approach which then sets you up for applying machine learning and AI. e,g,
AI will be able to predict illness rather than waiting for it to happen provided it can extract value of the data from sensors and photo/video . This can be combined with the cognitive abilities of care home and medical staff - a process called "augmented intelligence" combining human and AI cognitive abilities.
Coined in 1955 to describe a new computer science sub-discipline, “Artificial Intelligence” today includes a variety of technologies and tools, some time-tested, others relatively new. To help make sense of what’s hot and what’s not, Forrester just published a TechRadar report on Artificial Intelligence (for application development professionals), a detailed analysis of 13 technologies enterprises should consider adopting to support human decision-making.