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Artificial Intelligence

Artificial Intelligence

"AI is in the new electricity" (Andrew Ng) and its worth billions because recent real world examples have made it's value proposition clear for companies. Whether you are in finance, education, healthcare, manufacturing or any industry, AI can be applied to a wide variety of problems such as new techniques in supply optimization to adapting and improving credit fraud identification to earlier disease diagnosis and individualized treatment.

There is a race to incorporate AI into products and services as users become more accustom to the increased unique experiences that these tools can offer. There is also a race to make AI and its related tools easier to understand and integrate. To overcome the need for PhDs and an army of data scientists, efforts are in progress to simplify and repurpose proven AI models. For example, retailers are using established computer vision models vs building them from scratch to visually search on product images.

Corporate priorities will highly influence the direction of AI research. We will explore the hype and the reality of AI's impact as well as how it is being democratized to meet growing demand.

Melanie Warrick

October 10, 2017
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  1. @nyghtowl Narrow => Math & Research Fields ➔ Machine Learning

    ➔ Statistics & Probability Models ➔ Generative & Adversarial Models ➔ Graph Theory ➔ Quantum Computing
  2. “AI-first world” Android Apps Gmail Maps Photos Speech Search Translation

    YouTube and many others ... Used across products: 2012 2013 2014 2015
  3. Example Use Cases Search Search ranking Speech recognition Android Keyboard

    & speech input Gmail Smart reply Spam classification Drive Intelligence in Apps Chrome Search by image Assistant Smart connections across products Maps Parsing local search Translate Text, graphic and speech translation Cardboard Smart stitching Photos Photos search
  4. @nyghtowl Hurdles ... - Complex problem-solving - Emotional & social

    IQ - Rule change & new domain rapid adoption - ...
  5. @nyghtowl Democratization ~ Transfer Learning Cloud Speech API Cloud Vision

    API Cloud Natural Language API Cloud Translate API Cloud Video Intelligence Cloud Jobs API
  6. @nyghtowl Intelligence Augmentation - Medical & Genomics - Sales &

    Marketing - Security - Operations & Utilities - IoT - Smartphones & Search - ...
  7. @nyghtowl Last Points AI => Narrow Data is Queen Democratization

    => Transfer Learning Commonplace = Electricity | Wheel
  8. @nyghtowl References: Images • iStock.com/4x-image • iStock.com/hometowncd • iStock.com/diego_cervo •

    iStock.com/teekid • iStock.com/laremenko • iStock.com/alexialex • iStock.com/ sarah5 • iStock.com/Grzegorz Petrykowski • iStock.com/stellalevi • iStock.com/adventtr • iStock.com/d1sk • iStock.com/vectortatu • iStock/smoothgroover22 • iStock/phive2015 • https://www.explainxkcd.com/wiki/images/a/a7/timeline_of_bicycle_design.png | XKCD • https://commons.wikimedia.org/wiki/File:Cancer_cells_(1).jpg • https://deepmind.com/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-40/ • http://maxpixel.freegreatpicture.com/Treat-Variety-Chocolate-Decorated-Doughnuts-Donuts-1368342
  9. @nyghtowl References: Images • https://commons.wikimedia.org/wiki/File:Internet_of_Things.jpg | McGeddon • https://blog.openai.com/dota-2/ |

    Valve Corporation • https://eugene.kaspersky.com/2016/09/09/the-artificial-artificial-intelligence-bubble-and-the-future-of-cybersecurit y/ | Austin Powers | Makeameme.org • https://commons.wikimedia.org/wiki/File:Duomo_Lucca_cathedrale_Lucques_labyrinthe.jpg | Myrabella • http://www.funnyjunk.com/funny_pictures/631996/Armageddon/ | bittercrackpot • https://www.flickr.com/photos/photoverulam/3567531681 | Richard Gillin • https://www.flickr.com/photos/moyogo/4884992 | Denis Jacquerye • https://www.flickr.com/photos/rosenfeldmedia/6949089460 • Copyright and disclaimer notice: https://creativecommons.org/licenses/by/2.0/ • License notice: https://creativecommons.org/licenses/by/2.0/legalcode Additional Resources: • https://analyticsweek.com/content/big-data-facts/ • https://www.techemergence.com/machine-learning-in-genomics-applications/ • https://www.technologyreview.com/s/609048/the-seven-deadly-sins-of-ai-predictions/