Construction AI is coming faster than you think.
Here is an example of an AI system that is used on a Project managed by a consortium including SNC Lavalin. Indus.ai uses the capabilities of advanced video recognition to follow progress on construction sites.
More info here:
Apple joined the partnership on AI today. Apple, Amazon, Facebook, Google, IBM and Microsoft; along with six independent members from other artificial intelligence organizations, universities and the ACLU are now working together on progressing Artificial Intelligence in a more ethical manners.
Shall we be scared about having the giants working together in a coordinated manner powered by the huge amounts of data that was accumulated?
Having one of the giants of secrecy publishing articles and joining a public group shows how everyone, including the CEOs of those huge corporations, are aware of the need for collaboration and transparency.
Once enterprises overcome these obstacles, Forrester concludes, they stand to gain from AI driving accelerated transformation in customer-facing applications and developing an interconnected web of enterprise intelligence.
There is no defined business case 42%
Not clear what AI can be used for 39%
Don’t have the required skills 33%
Need first to invest in modernizing data mgt platform 29%
Don’t have the budget 23%
Not certain what is needed for implementing an AI system 19%
AI systems are not proven 14%
Do not have the right processes or governance 13%
AI is a lot of hype with little substance 11%
Milie was presenting at the Virtual Assistant Summit in San Francisco about the need to design AI around human fears and hopes.
# Yes, we all have weaknesses, but how do you build a Virtual assistant which will assist without hurting feelings?
# Clearly define the roles:
- things that human are better at: negotiate, leading, motivating, …
- things that artificial intelligence is better at: documenting in a structured manner, optimizing schedules, screening large amount of data, …
# How do you capture the relevant labelled dataset when not-documenting is the standard?
- Build a light light version with quick win for the individuals not your dataset
- Care about constraints from decision makers: immediate ROI, no change management, no share of critical data, no business discontinuity
- Lots of training to explain why you are capturing the dataset and how you will be using it.
# CONCLUSION: It is not because you can build it, and that there is a good reason why people should be using your assistant; that individual will use it. Human are humans and they want:
- to be respected: you can’t replace them by machine
- to be important: keep their knowledge
- to protect themselves: not documenting their mistakes
And if you need to redesign your product startegy to fit with the reality of humans; you just have to do it.
Very excited to announce that Lili.ai has been accepted in the IBM Watson AI XPRIZE global competition. For 4 years, 156 teams will be competing worldwide to develop and demonstrate how humans can collaborate with powerful AI technologies to tackle the world’s grand challenges.
Today Lili.ai was doing its demoday at the Total Pau headquarter. Milie being in SF, it is the first time that somebody else in the team is taking on the role of presenting Lili to clients! Bravo Karine!
It is hard to imagine that one day, robots would be human enough to generate true feelings. Here is a preview, watch those monkeys grieving about the robot baby monkey.