AI in the French ecosysteme

A great non French article on why French is amazing for AI startups and research (despite the paperwork ie. paying people to do the paperwork).

#1: French engineering school go deep in maths

Nothing new here, French have a long tradition of Mathematics. Too bad that Mrs. Nobel was caught with a mathematician otherwise the stats might have shown it : )

# 2: Public laboratories

As a result, the ecosystem is full of amazing mathematicians fond of advancing their fields and accepting intellectual challenges over big pay at FB and others.

#3: Passionate Engineers that want to stay

Despite of the big bucks offered by other companies, your engineers feel part of the adventure and actually will rather stay to see the company grow. Retention is amazing!

http://www.economist.com/news/business/21717411-capital-now-leads-europe-number-venture-capital-funding-rounds-rise

Don’t think that construction is behind in AI

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.

 

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More info here:

http://finance.yahoo.com/news/announcing-launch-indus-ai-construction-160000279.html

Self-regulating giants

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.

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https://www.engadget.com/2017/01/27/apple-joins-partnership-on-ai/

Top 10 reasons why companies are not investing in AI

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.

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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%

 

 

https://cdn.ampproject.org/c/www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/amp/