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My Topic: Drilling Deeper for insights on Machine Intelligence Landscape
Steve Ardire Advisor to #cognitivecomputing #machineintelligence #ambientintelligence startups and ex #geologist [email protected] @sardire www.linkedin.com/in/sardire/
Cognitive Computing 201 – Incorporating the Technology
Backgrounder: In Aug 2014 panel did http://www.cognitivecomputingforum.com/ now rolled into Smart Data Conference and April 2015 at EDW2105 Understanding Cognitive Computing http://www.slideshare.net/sardire/edw-2015-cognitive-computing-panel-session ( 45 min 44 slides ) with 2615 views ( Aug 17, 2015 ). Terrific feedback but not enough Q&A so revamped format into 15 min sessions for each panelist ( Slides 5 min Q&A 10 min )
Drilling Deeper for insights on Machine Intelligence Landscape
“machine learning + artificial intelligence”
“machine learning + artificial intelligence”
covered in slideshare link on previous
slide
Last Dec Shivon Zilis Bloomberg Beta composed this graphic and post http://www.shivonzilis.com/ to help figure out how to package into novel applications so I’d like to drill deeper in focus areas on left
Today mostly Supervised Learning ( training instances labelled ) where Deep Learning paramount ( scaling Convolutional and Recurrent Artificial Neural Networks ).
Unsupervised Learning ( understand way human does ) will supersede with Reinforcement Learning a strong complement with resurgence of Evolutionary ( Genetic ) Algorithms ( biological intelligence ) that scale to tackle ambitious problems.
Cognitive computing driven by Machine Intelligence ( ML + AI ) algorithms to process data for pattern discovery, discern context, make inferences, reason, learn, improve over time.
Real battle isn’t over underlying machine learning technology, it’s in building support systems to make it usable ( e.g. smart data harmonization with semantic enrichment )
State of AI & Big Data in Enterprise and Next Wave Of Enterprise Software Powered By Machine Learning http://www.narrativescience.com/state-of-aihttp://techcrunch.com/2015/07/27/the-next-wave-of-enterprise-software-powered-by-machine-learning/#.nufr3i:KVvF • 80% said most important benefit is AI makes workers more productive • 44% said data-driven reporting for decisions and automated customer communications.• 24% Machine learning 15% Virtual personal assistants and so on
“Alluding to Peter Drucker’s thinking, effectiveness should be a human pursuit, while efficiency should be delegated to machines”
Wikibon sees ‘Systems of Intelligence’ replacing Systems of Record to combine historical context with real-time data to constantly learn and predict/influence customer decisions.http://siliconangle.com/blog/2015/08/11/wikibon-sees-systems-of-intelligence-dominate-future-it-landscape/
My #1) How AI will revolutionise the marketing industry http://www.thedrum.com/opinion/2015/06/02/machine-learning-how-ai-will-revolutionise-marketing-industry
Goal: deliver right message to right person over right channel with two way conversation in real-time
Can AI help us solve the ad industry's troubles?http://gu.com/p/4bvgg/stw• By 2020 a great experience created and delivered by machines working with humans.
Saatchi's intelligent advertising billboard that judges a viewers' emotions before generating phrases in response http://www.mirror.co.uk/news/uk-news/saatchis-intelligent-billboard-can-tell-6125060#ICID=sharebar_twitter
• Natural language-generating engine for phrases that are constantly changing
• Create ads whose images and phrases evolve based on viewer response.
• Live interaction and facial recognition could possibly be the next step
Data + machine intelligence = artificial intuition that ‘mimics’ human intuition
Sentience: The Coming AI Revolution and the Implications for Marketing http://www.marketingmagazine.co.uk/article/1352712/sentience-coming-ai-revolution-implications-marketing• messages based on specific purchasing and behavioral data about you will take form of
spectacular content and experiences, indiscernible from entertainment.
How Consumer-Focused AI Startups Are Breaking Down Language
IBM’s Watson has shown impressive feats of semantic understanding and natural language understanding is just an elementary piece of the AI puzzle.
AI startups starting to reach consumer in meaningful ways — and investors are drooling for more.
In 2014 VC investments in AI increased more than 300% over 2013. and any young startup that promises a reasonable breakthrough is likely to attract significant capital.
DARPA Is Building a Robot Musician to Decode Human Creativity
MUSICA will take cues jazz royalty, including Miles Davis, Charlie Parker and John Coltrane.
The software will play collaboratively, as if it were a human musician jamming at an open mic.
The biggest element is the data."We'll mine all of [those transcriptions] for patterns that the system can use to have an idea of what it'll play next" Thomas said “Think about the implications of a computer program that can anticipate human needs”
"People don't change behavior on information, they change it on emotion"
Laboratory for Animate Technologies ( Auckland Bioengineering Institute ) http://www.abi.auckland.ac.nz/en/about/our-research/animate-technologies.html
Steve Ardire Advisor to #cognitivecomputing #machineintelligence #ambientIntelligence startups and ex #geologist [email protected] @sardirewww.linkedin.com/in/sardire/ 360-868-4435
“Ambient intelligence is where data is analyzed in real time to predict human intent to make intelligent decisions that enhances a person’s lifestyle to deliver
items / relevant information / goal fulfillment”
“Sentience is the ability to feel, perceive, or experience subjectively vs the ability to think (reason) “
here all week so happy to schedule meetings couple more of my blurbs….