Presentation by Alessandro Prest from LogoGrab on the latest trends in Artificial Intelligence, Image Search, language development and in company innovation at #cong17 CongReagtion in Ashford Castle Cong, Co Mayo on Nov 24th.
7. The A.I. rollercoaster
1945 1955 1966 1970 1974 1982 1990 2014
A.I. investments
Machine Translation
Failure Lighthill report
DARPA cuts
Fall of Expert Systems
Lisp market collapses
8. A.I. to find brand mentions in large volumes of visual
data
Photos shared (millions)
Year
Source: KPCB
9. Founded by former Google researchers
who built some of Google’s
core image recognition technologies.
10. Social media monitoring &
intelligence
Brand protection & compliance Counterfeit detection
Ad retargeting Retail intelligence automation Monetization of existing
image & video silos
11. Social media monitoring &
intelligence
Brand protection & compliance Counterfeit detection
Ad retargeting Retail intelligence automation Monetization of existing
image & video silos
15. The future of sapiens language
2017 AD
?
Visual
Text
16. 1945 1955 1966 1970 1974 1982 1990 2012
A.I. investments
Machine Translation
Failure Lighthill report
DARPA cuts
Fall of Expert Systems
Lisp market collapses
Why so optimistic?
17. Why so optimistic?
1. Technology has leapfrogged
2. Venture Capital has matured
3. "Atomization" of A.I.*
* techcrunch.com/2016/09/13/marc-andreessen-on-the-atomization-of-ai/
Today I am going to talk to you about how the way people share information has changed dramatically over the last four years,
And how we can use AI, specifically compater vision and image recognition, to find quantitative and deeper brand insights in analytics.
france 25.000
We need A.I. to interpret this data
Historically this field generated much interest. And movies set a pretty high standard for machine intelligence skills
most notably during my research years
And while people were sharing 300M images/day on social media in 2012, that number today is over 4 billion a day.
So this can be scary for brands because they now need to look inside visual in order to understand what the consumer is talking about and what they are interested in.
But good news is that A.I. is here to assist us and can provide tevhnologies to find logos - so brand mentions - in very large volumes of visual.
LogoGrab was founded by former Google researchers who have built some of Google’s core image recognition technology.
The type of content we share with friends… Visual taking over text
Because of the quality of our technology and its easy integration
We work in many different verticals from brand protection and compliance to retail intelligence…And of course, the reason we are here today which is social media monitoring and intelligence.
We don’t work directly with end-customers but instead we partner with industry leaders to deliver our tech in multiple verticals - and through this partnership we deliver the best product to end-clients.
We don’t work directly with end-customers but instead we partner with industry leaders to deliver our tech in multiple verticals - and through this partnership we deliver the best product to end-clients.
Verticals from brand protection and compliance to retail intelligence...
At LogoGrab we have built the best technology to find logos in large volumes of images and video.
practically you
Hard to tell a story from just some text
and viceversa
Just a guy enjoying a beer
The chart is intentionally crammed to demonstrated the future is mostly unwritten
So what happened in the last few years is that we started being bombarded with content on multiple channels.
We are subject to incredible amounts of content on Facebook, whatsapp, messenger, snapchat, instagram and the list goes on.
As a result of this we we had to change the way we consume content in order to skim through all these content and understand what we want to focus on more.
And moving to visual was the natural answer.
Because the human brain can retain and process way more data in the form of visual.
So most people don;t know this but teenagers that never read have tripled in the last two years alone
Advancement in Deep Learning
More quantitative VCs