Artificial Intelligence (AI) is here. Growing from its initial hype, AI today is changing the way business is done. Organizations are investing heavily in AI Capabilities and related research. Start-ups are again redefining and disrupting industries. At the centre of all AI is the customer relationship focus. Engaging with Customers in highly personalized ways has always been the holy grail for Marketers. AI can be a terrific ally for Marketers in realizing this dream. View this presentation deck to get an overview of AI and its impact on Marketing. We are happy to share more info & can work with you in this space. just drop a note to chandru@wiselywise.com with details
31. Thank YouChandrakumar Natarajan
Founder – WiselyWise
Chandru@wiselywise.com
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Editor's Notes
https://www.thinkwithgoogle.com/marketing-resources/ai-personalized-marketing/
https://gizmodo.com/facebook-knows-how-to-track-you-using-the-dust-on-your-1821030620
Facebook Knows How to Track You Using the Dust on Your Camera Lens
Patents filed by Facebook that mention People You May Know show some ingenious methods that Facebook has devised for figuring out that seeming strangers on the network might know each other. One filed in 2015 describes a technique that would connect two people through the camera metadata associated with the photos they uploaded. It might assume two people knew each other if the images they uploaded looked like they were titled in the same series of photos—IMG_4605739.jpg and IMG_4605742, for example—or if lens scratches or dust were detectable in the same spots on the photos, revealing the photos were taken by the same camera.
Attendees Allen Newell (CMU), Herbert Simon (CMU), John McCarthy (MIT), Marvin Minsky (MIT) and Arthur Samuel (IBM) became the founders and leaders of AI research
$14 Trillion
16 industries
12 economies
- Accenture Study
Welcome to 2018, the year of AI : https://news.microsoft.com/apac/2018/01/03/welcome-2018-year-ai/ : Ralph Haupter, President, Microsoft Asia
$46 Billion by 2020, $6.9 B investment by 2021 in APAC : IDC
Chatbots Powered by AI – 85% customer interactions by 2020 : Gartner
AI Focus – Google, FB
Fair, Transparent & Trusted
https://www.thinkwithgoogle.com/marketing-resources/ai-personalized-marketing/
https://gizmodo.com/facebook-knows-how-to-track-you-using-the-dust-on-your-1821030620
Facebook Knows How to Track You Using the Dust on Your Camera Lens
Patents filed by Facebook that mention People You May Know show some ingenious methods that Facebook has devised for figuring out that seeming strangers on the network might know each other. One filed in 2015 describes a technique that would connect two people through the camera metadata associated with the photos they uploaded. It might assume two people knew each other if the images they uploaded looked like they were titled in the same series of photos—IMG_4605739.jpg and IMG_4605742, for example—or if lens scratches or dust were detectable in the same spots on the photos, revealing the photos were taken by the same camera.
Automatedinsights.com
https://hbr.org/2017/05/how-harley-davidson-used-predictive-analytics-to-increase-new-york-sales-leads-by-2930
Instacart has used TensorFlow, Google’s open-source machine-learning platform, to build a machine-learning model to predict the most efficient sequence its shoppers could follow to select items at a store.
https://www.thinkwithgoogle.com/marketing-resources/ai-personalized-marketing/
https://gizmodo.com/facebook-knows-how-to-track-you-using-the-dust-on-your-1821030620
Facebook Knows How to Track You Using the Dust on Your Camera Lens
Patents filed by Facebook that mention People You May Know show some ingenious methods that Facebook has devised for figuring out that seeming strangers on the network might know each other. One filed in 2015 describes a technique that would connect two people through the camera metadata associated with the photos they uploaded. It might assume two people knew each other if the images they uploaded looked like they were titled in the same series of photos—IMG_4605739.jpg and IMG_4605742, for example—or if lens scratches or dust were detectable in the same spots on the photos, revealing the photos were taken by the same camera.